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ale-0001 | Concept Guides | concept-guides | Template | 🧾 | Canonical Definition | DEFINITION.md | local_path | null | Short definition, positioning, minimal loop test, and citation note. | Short definition, positioning, minimal loop test, and citation note. | Provides a reusable project artifact: Short definition, positioning, minimal loop test, and citation note. | Repository-native artifact that makes an otherwise informal practice concrete and reusable. | Clarifies the scope, vocabulary, and boundaries of Loop Engineering so the list does not drift into generic agent material. | Repository-native artifact maintained in this project; signal comes from local validation and reuse. | medium | README.md | 176 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L176 |
ale-0002 | Concept Guides | concept-guides | Template | 🧾 | Loop Engineering Manifesto | MANIFESTO.md | local_path | null | Concise statement of the concept, commitments, non-goals, and success standard. | Concise statement of the concept, commitments, non-goals, and success standard. | Provides a reusable project artifact: Concise statement of the concept, commitments, non-goals, and success standard. | Repository-native artifact that makes an otherwise informal practice concrete and reusable. | Clarifies the scope, vocabulary, and boundaries of Loop Engineering so the list does not drift into generic agent material. | Repository-native artifact maintained in this project; signal comes from local validation and reuse. | medium | README.md | 177 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L177 |
ale-0003 | Concept Guides | concept-guides | Template | 🧾 | Loop Engineering Taxonomy | TAXONOMY.md | local_path | null | Classification by trigger, intake, verification, state model, topology, and operating domain. | Classification by trigger, intake, verification, state model, topology, and operating domain. | Provides a reusable project artifact: Classification by trigger, intake, verification, state model, topology, and operating domain. | Repository-native artifact that makes an otherwise informal practice concrete and reusable. | Clarifies the scope, vocabulary, and boundaries of Loop Engineering so the list does not drift into generic agent material. | Repository-native artifact maintained in this project; signal comes from local validation and reuse. | medium | README.md | 178 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L178 |
ale-0004 | Concept Guides | concept-guides | Critique | ⚠️ | Loop Engineering Anti-Patterns | ANTI-PATTERNS.md | local_path | null | Common failure modes such as prompt loops with no contract, infinite retries, model self-approval, hidden state, and unsafe autonomy. | Common failure modes such as prompt loops with no contract, infinite retries, model self-approval, hidden state, and unsafe autonomy. | Names a risk or boundary condition: Common failure modes such as prompt loops with no contract, infinite retries, model self-approval, hidden state, and unsafe autonomy. | Repository-native artifact that makes an otherwise informal practice concrete and reusable. | Clarifies the scope, vocabulary, and boundaries of Loop Engineering so the list does not drift into generic agent material. | Repository-native artifact maintained in this project; signal comes from local validation and reuse. | medium | README.md | 179 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L179 |
ale-0005 | Concept Guides | concept-guides | Template | 🧾 | Comparison Guide | COMPARISON.md | local_path | null | Distinguishes Loop Engineering from prompt engineering, context engineering, harness engineering, workflow automation, agent workflows, and evaluation loops. | Distinguishes Loop Engineering from prompt engineering, context engineering, harness engineering, workflow automation, agent workflows, and evaluation loops. | Provides a reusable project artifact: Distinguishes Loop Engineering from prompt engineering, context engineering, harness engineering, workflow automation, agent workflows, and evaluation loops. | Repository-native artifact that makes an otherwise informal practice concrete and reusable. | Clarifies the scope, vocabulary, and boundaries of Loop Engineering so the list does not drift into generic agent material. | Repository-native artifact maintained in this project; signal comes from local validation and reuse. | medium | README.md | 180 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L180 |
ale-0006 | Concept Guides | concept-guides | Template | 🧾 | Sourced Signals And Quotes | QUOTES.md | local_path | null | Short sourced signals from linked public materials that anchor the emerging concept. | Short sourced signals from linked public materials that anchor the emerging concept. | Provides a reusable project artifact: Short sourced signals from linked public materials that anchor the emerging concept. | Repository-native artifact that makes an otherwise informal practice concrete and reusable. | Clarifies the scope, vocabulary, and boundaries of Loop Engineering so the list does not drift into generic agent material. | Repository-native artifact maintained in this project; signal comes from local validation and reuse. | medium | README.md | 181 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L181 |
ale-0007 | Concept Guides | concept-guides | Template | 🧾 | Outreach Kit | meta/OUTREACH.md | local_path | null | Conservative messages for inviting corrections, sources, and real-world loop patterns. | Conservative messages for inviting corrections, sources, and real-world loop patterns. | Provides a reusable project artifact: Conservative messages for inviting corrections, sources, and real-world loop patterns. | Repository-native artifact that makes an otherwise informal practice concrete and reusable. | Clarifies the scope, vocabulary, and boundaries of Loop Engineering so the list does not drift into generic agent material. | Repository-native artifact maintained in this project; signal comes from local validation and reuse. | medium | README.md | 182 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L182 |
ale-0008 | Start Here | start-here | Blog | 📝 | Loop Engineering | https://addyosmani.com/blog/loop-engineering/ | external | addyosmani.com | Addy Osmani's framing of loop engineering as the layer above manually prompting coding agents, with concrete primitives across Codex and Claude Code. | Addy Osmani's framing of loop engineering as the layer above manually prompting coding agents, with concrete primitives across Codex and Claude Code. | Addy Osmani's framing of loop engineering as the layer above manually prompting coding agents, with concrete primitives across Codex and Claude Code. | Captures the early community framing of Loop Engineering as repeated agent delegation rather than prompt craft. | Gives readers the origin story and first-principles framing for the new AI/coding-agent use of Loop Engineering. | Practitioner essay or field note; signal comes from concrete experience, framing, examples, or adoption discussion. | contextual | README.md | 213 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L213 |
ale-0009 | Start Here | start-here | Blog | 📝 | Loop Engineering | https://addyo.substack.com/p/loop-engineering | external | addyo.substack.com | Substack version of the same essay; useful for the original discussion trail and quotations from Peter Steinberger and Boris Cherny. | Substack version of the same essay; useful for the original discussion trail and quotations from Peter Steinberger and Boris Cherny. | Substack version of the same essay; useful for the original discussion trail and quotations from Peter Steinberger and Boris Cherny. | Captures the early community framing of Loop Engineering as repeated agent delegation rather than prompt craft. | Gives readers the origin story and first-principles framing for the new AI/coding-agent use of Loop Engineering. | Practitioner essay or field note; signal comes from concrete experience, framing, examples, or adoption discussion. | contextual | README.md | 214 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L214 |
ale-0010 | Start Here | start-here | Blog | 📝 | Loop Engineering | https://cobusgreyling.substack.com/p/loop-engineering | external | cobusgreyling.substack.com | Concise explanation of the shift from prompting agents to designing loops that discover work, delegate, verify, persist, and continue. | Concise explanation of the shift from prompting agents to designing loops that discover work, delegate, verify, persist, and continue. | Concise explanation of the shift from prompting agents to designing loops that discover work, delegate, verify, persist, and continue. | State persistence is explicit enough for repeated runs and handoff. | Gives readers the origin story and first-principles framing for the new AI/coding-agent use of Loop Engineering. | Practitioner essay or field note; signal comes from concrete experience, framing, examples, or adoption discussion. | contextual | README.md | 215 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L215 |
ale-0011 | Start Here | start-here | Blog | 📝 | Loop Engineering: The Guide for AI Agents | https://lushbinary.com/blog/loop-engineering-ai-coding-agents-guide/ | external | lushbinary.com | Practical guide that breaks the pattern into automations, worktrees, skills, connectors, subagents, and state. | Practical guide that breaks the pattern into automations, worktrees, skills, connectors, subagents, and state. | Practical guide that breaks the pattern into automations, worktrees, skills, connectors, subagents, and state. | Workspace isolation is part of the loop design, not an afterthought. | Gives readers the origin story and first-principles framing for the new AI/coding-agent use of Loop Engineering. | Practitioner essay or field note; signal comes from concrete experience, framing, examples, or adoption discussion. | contextual | README.md | 216 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L216 |
ale-0012 | Start Here | start-here | Pattern | 🔁 | Codex Loops: What Boris Cherny Gets Right About Managing Agent Work | https://www.developersdigest.tech/blog/codex-loops-boris-cherny-agent-routines | external | www.developersdigest.tech | Engineering note on recurring agent loops for PR babysitting, CI repair, deploy verification, and feedback clustering. | Engineering note on recurring agent loops for PR babysitting, CI repair, deploy verification, and feedback clustering. | Provides a reusable loop pattern: Engineering note on recurring agent loops for PR babysitting, CI repair, deploy verification, and feedback clustering. | Verification is promoted from a final check to a loop-control signal. | Gives readers the origin story and first-principles framing for the new AI/coding-agent use of Loop Engineering. | Operational pattern or playbook; signal comes from reusable loop structure and practical transferability. | medium | README.md | 217 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L217 |
ale-0013 | Start Here | start-here | Blog | 📝 | I Now Just Write Loops To Prompt Claude Code: Claude Code Creator Boris Cherny | https://officechai.com/ai/i-now-just-write-loops-to-prompt-claude-code-claude-code-creator-boris-cherny/ | external | officechai.com | Coverage of Boris Cherny's "my job is to write loops" workflow. | Coverage of Boris Cherny's "my job is to write loops" workflow. | Coverage of Boris Cherny's "my job is to write loops" workflow. | Captures the early community framing of Loop Engineering as repeated agent delegation rather than prompt craft. | Gives readers the origin story and first-principles framing for the new AI/coding-agent use of Loop Engineering. | Practitioner essay or field note; signal comes from concrete experience, framing, examples, or adoption discussion. | contextual | README.md | 218 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L218 |
ale-0014 | Start Here | start-here | Blog | 📝 | My Lord! AI Programming Undergoes Another Major Shift | https://eu.36kr.com/en/p/3844224911346184 | external | eu.36kr.com | Broad coverage of the Boris Cherny and Peter Steinberger discussion, including the distinction between cold-start scripts and persistent agent loops. | Broad coverage of the Boris Cherny and Peter Steinberger discussion, including the distinction between cold-start scripts and persistent agent loops. | Broad coverage of the Boris Cherny and Peter Steinberger discussion, including the distinction between cold-start scripts and persistent agent loops. | State persistence is explicit enough for repeated runs and handoff. | Gives readers the origin story and first-principles framing for the new AI/coding-agent use of Loop Engineering. | Practitioner essay or field note; signal comes from concrete experience, framing, examples, or adoption discussion. | contextual | README.md | 219 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L219 |
ale-0015 | Start Here | start-here | Blog | 📝 | Peter Steinberger on designing loops | https://x.com/steipete/status/2063697162748260627 | external | x.com | The June 2026 post - "you shouldn't be prompting coding agents anymore, you should be designing loops that prompt your agents" - that catalyzed the current discussion. | The June 2026 post - "you shouldn't be prompting coding agents anymore, you should be designing loops that prompt your agents" - that catalyzed the current discussion. | The June 2026 post - "you shouldn't be prompting coding agents anymore, you should be designing loops that prompt your agents" - that catalyzed the current discussion. | Captures the early community framing of Loop Engineering as repeated agent delegation rather than prompt craft. | Gives readers the origin story and first-principles framing for the new AI/coding-agent use of Loop Engineering. | Practitioner essay or field note; signal comes from concrete experience, framing, examples, or adoption discussion. | contextual | README.md | 220 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L220 |
ale-0016 | Start Here | start-here | Blog | 📝 | The Anthropic leader who built Claude Code ditched prompting - now he writes loops | https://thenewstack.io/loop-engineering/ | external | thenewstack.io | The New Stack's report on Boris Cherny's shift from prompting to loop writing and what it changes about developer workflow. | The New Stack's report on Boris Cherny's shift from prompting to loop writing and what it changes about developer workflow. | The New Stack's report on Boris Cherny's shift from prompting to loop writing and what it changes about developer workflow. | Captures the early community framing of Loop Engineering as repeated agent delegation rather than prompt craft. | Gives readers the origin story and first-principles framing for the new AI/coding-agent use of Loop Engineering. | Practitioner essay or field note; signal comes from concrete experience, framing, examples, or adoption discussion. | contextual | README.md | 221 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L221 |
ale-0017 | Start Here | start-here | Blog | 📝 | Stop Prompting. Design the Loop. | https://www.pulumi.com/blog/stop-prompting-design-the-loop/ | external | www.pulumi.com | Practical breakdown of loop building blocks - automations, worktrees, skills, connectors, subagents - plus external memory and verification through oracles such as tests and builds. | Practical breakdown of loop building blocks - automations, worktrees, skills, connectors, subagents - plus external memory and verification through oracles such as tests and builds. | Practical breakdown of loop building blocks - automations, worktrees, skills, connectors, subagents - plus external memory and verification through oracles such as tests and builds. | Workspace isolation is part of the loop design, not an afterthought. | Gives readers the origin story and first-principles framing for the new AI/coding-agent use of Loop Engineering. | Practitioner essay or field note; signal comes from concrete experience, framing, examples, or adoption discussion. | contextual | README.md | 222 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L222 |
ale-0018 | Start Here | start-here | Blog | 📝 | Boris Cherny: five tips for running Opus autonomously for hours or days | https://x.com/bcherny/status/2063792263067754658 | external | x.com | The Claude Code creator's compact loop recipe: auto-mode permissions, dynamic workflows, `/goal` or `/loop`, the cloud runner, and end-to-end self-verification. | The Claude Code creator's compact loop recipe: auto-mode permissions, dynamic workflows, `/goal` or `/loop`, the cloud runner, and end-to-end self-verification. | The Claude Code creator's compact loop recipe: auto-mode permissions, dynamic workflows, `/goal` or `/loop`, the cloud runner, and end-to-end self-verification. | The agent workflow includes explicit self-checking or gated completion. | Gives readers the origin story and first-principles framing for the new AI/coding-agent use of Loop Engineering. | Practitioner essay or field note; signal comes from concrete experience, framing, examples, or adoption discussion. | contextual | README.md | 223 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L223 |
ale-0019 | Core Loop Primitives | core-loop-primitives | Docs | 📚 | Automations - Codex app | https://developers.openai.com/codex/app/automations | external | developers.openai.com | Codex background automations for recurring tasks, triage inboxes, skills, and worktree isolation. | Codex background automations for recurring tasks, triage inboxes, skills, and worktree isolation. | Codex background automations for recurring tasks, triage inboxes, skills, and worktree isolation. | Workspace isolation is part of the loop design, not an afterthought. | Turns the concept into concrete loop mechanics: triggers, state, tools, worktrees, permissions, and recurring execution. | Primary official documentation for a platform, SDK, or standard. | high | README.md | 291 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L291 |
ale-0020 | Core Loop Primitives | core-loop-primitives | Docs | 📚 | Follow a goal - Codex use cases | https://developers.openai.com/codex/use-cases/follow-goals | external | developers.openai.com | Official guidance for durable objectives with stopping conditions, validation commands, checkpoints, and progress logs. | Official guidance for durable objectives with stopping conditions, validation commands, checkpoints, and progress logs. | Official guidance for durable objectives with stopping conditions, validation commands, checkpoints, and progress logs. | Primary-source operational guidance rather than commentary. | Turns the concept into concrete loop mechanics: triggers, state, tools, worktrees, permissions, and recurring execution. | Primary official documentation for a platform, SDK, or standard. | high | README.md | 292 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L292 |
ale-0021 | Core Loop Primitives | core-loop-primitives | Docs | 📚 | Worktrees - Codex app | https://developers.openai.com/codex/app/worktrees | external | developers.openai.com | Codex worktree model for isolated parallel tasks and handoffs between local and background workspaces. | Codex worktree model for isolated parallel tasks and handoffs between local and background workspaces. | Codex worktree model for isolated parallel tasks and handoffs between local and background workspaces. | Workspace isolation is part of the loop design, not an afterthought. | Turns the concept into concrete loop mechanics: triggers, state, tools, worktrees, permissions, and recurring execution. | Primary official documentation for a platform, SDK, or standard. | high | README.md | 293 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L293 |
ale-0022 | Core Loop Primitives | core-loop-primitives | Docs | 📚 | Prompting - Codex | https://developers.openai.com/codex/prompting | external | developers.openai.com | Explains the Codex loop, threads, context, and `/goal` mode. | Explains the Codex loop, threads, context, and `/goal` mode. | Explains the Codex loop, threads, context, and `/goal` mode. | Context is managed as durable loop state rather than a single prompt payload. | Turns the concept into concrete loop mechanics: triggers, state, tools, worktrees, permissions, and recurring execution. | Primary official documentation for a platform, SDK, or standard. | high | README.md | 294 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L294 |
ale-0023 | Core Loop Primitives | core-loop-primitives | Docs | 📚 | Customization - Codex | https://developers.openai.com/codex/concepts/customization | external | developers.openai.com | Maps `AGENTS.md`, memories, skills, MCP, and subagents into a coherent customization stack. | Maps `AGENTS.md`, memories, skills, MCP, and subagents into a coherent customization stack. | Maps `AGENTS.md`, memories, skills, MCP, and subagents into a coherent customization stack. | Persistent memory is treated as an external runtime artifact. | Turns the concept into concrete loop mechanics: triggers, state, tools, worktrees, permissions, and recurring execution. | Primary official documentation for a platform, SDK, or standard. | high | README.md | 295 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L295 |
ale-0024 | Core Loop Primitives | core-loop-primitives | Docs | 📚 | Agent Skills - Codex | https://developers.openai.com/codex/skills | external | developers.openai.com | Official skill format for reusable workflows, scripts, MCP dependencies, invocation policy, and plugin packaging. | Official skill format for reusable workflows, scripts, MCP dependencies, invocation policy, and plugin packaging. | Official skill format for reusable workflows, scripts, MCP dependencies, invocation policy, and plugin packaging. | Primary-source operational guidance rather than commentary. | Turns the concept into concrete loop mechanics: triggers, state, tools, worktrees, permissions, and recurring execution. | Primary official documentation for a platform, SDK, or standard. | high | README.md | 296 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L296 |
ale-0025 | Core Loop Primitives | core-loop-primitives | Docs | 📚 | Plugins - Codex | https://developers.openai.com/codex/plugins | external | developers.openai.com | Bundles skills, app integrations, and MCP servers into reusable loop capabilities. | Bundles skills, app integrations, and MCP servers into reusable loop capabilities. | Bundles skills, app integrations, and MCP servers into reusable loop capabilities. | Breaks loop design into operational primitives that can be combined across agents and runtimes. | Turns the concept into concrete loop mechanics: triggers, state, tools, worktrees, permissions, and recurring execution. | Primary official documentation for a platform, SDK, or standard. | high | README.md | 297 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L297 |
ale-0026 | Core Loop Primitives | core-loop-primitives | Tool | 🧰 | dotskills | https://github.com/vincentkoc/dotskills | external | github.com | A `.skills` registry of curated Codex and OpenClaw skills, framed as an "ADE Loop" (Agent Development Environment to registry to Skills Gym) where reusable skills are developed, shared, and evaluated across runs. | A `.skills` registry of curated Codex and OpenClaw skills, framed as an "ADE Loop" (Agent Development Environment to registry to Skills Gym) where reusable skills are developed, shared, and evaluated across runs. | Provides an implementation surface for loop builders: A `.skills` registry of curated Codex and OpenClaw skills, framed as an "ADE Loop" (Agent Development Environment to registry to Skills Gym) where reusable skills are developed, shared, and evaluated across runs. | Breaks loop design into operational primitives that can be combined across agents and runtimes. | Turns the concept into concrete loop mechanics: triggers, state, tools, worktrees, permissions, and recurring execution. | Source repository or implementation artifact that can be inspected directly. | high | README.md | 298 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L298 |
ale-0027 | Core Loop Primitives | core-loop-primitives | Docs | 📚 | Slash commands in Codex CLI | https://developers.openai.com/codex/cli/slash-commands | external | developers.openai.com | CLI commands for switching agent threads, browsing skills, inspecting MCP tools, and using subagent workflows. | CLI commands for switching agent threads, browsing skills, inspecting MCP tools, and using subagent workflows. | CLI commands for switching agent threads, browsing skills, inspecting MCP tools, and using subagent workflows. | The work separates roles across agents, verifiers, or orchestration layers. | Turns the concept into concrete loop mechanics: triggers, state, tools, worktrees, permissions, and recurring execution. | Primary official documentation for a platform, SDK, or standard. | high | README.md | 299 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L299 |
ale-0028 | Core Loop Primitives | core-loop-primitives | Pattern | 🔁 | Autonomous Loops | https://claudecodeguide.dev/docs/patterns/autonomous-loops | external | claudecodeguide.dev | Claude Code pattern using task files, stop hooks, restart behavior, hard limits, and a kill switch. | Claude Code pattern using task files, stop hooks, restart behavior, hard limits, and a kill switch. | Provides a reusable loop pattern: Claude Code pattern using task files, stop hooks, restart behavior, hard limits, and a kill switch. | Breaks loop design into operational primitives that can be combined across agents and runtimes. | Turns the concept into concrete loop mechanics: triggers, state, tools, worktrees, permissions, and recurring execution. | Operational pattern or playbook; signal comes from reusable loop structure and practical transferability. | medium | README.md | 300 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L300 |
ale-0029 | Core Loop Primitives | core-loop-primitives | Docs | 📚 | Claude Code Glossary | https://code.claude.com/docs/en/glossary.md | external | code.claude.com | Defines the agentic loop, hooks, subagents, skills, MCP, and related primitives in Claude Code terminology. | Defines the agentic loop, hooks, subagents, skills, MCP, and related primitives in Claude Code terminology. | Defines the agentic loop, hooks, subagents, skills, MCP, and related primitives in Claude Code terminology. | The work separates roles across agents, verifiers, or orchestration layers. | Turns the concept into concrete loop mechanics: triggers, state, tools, worktrees, permissions, and recurring execution. | Primary official documentation for a platform, SDK, or standard. | high | README.md | 301 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L301 |
ale-0030 | Core Loop Primitives | core-loop-primitives | Docs | 📚 | Keep Claude working toward a goal | https://code.claude.com/docs/en/goal | external | code.claude.com | `/goal` runs turn after turn until a completion condition is met by a verifier. | `/goal` runs turn after turn until a completion condition is met by a verifier. | `/goal` runs turn after turn until a completion condition is met by a verifier. | Verification is promoted from a final check to a loop-control signal. | Turns the concept into concrete loop mechanics: triggers, state, tools, worktrees, permissions, and recurring execution. | Primary official documentation for a platform, SDK, or standard. | high | README.md | 302 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L302 |
ale-0031 | Core Loop Primitives | core-loop-primitives | Docs | 📚 | Run prompts on a schedule | https://code.claude.com/docs/en/scheduled-tasks | external | code.claude.com | `/loop`, scheduled tasks, reminders, monitor tools, and session-scoped recurring prompts. | `/loop`, scheduled tasks, reminders, monitor tools, and session-scoped recurring prompts. | `/loop`, scheduled tasks, reminders, monitor tools, and session-scoped recurring prompts. | The trigger or cadence is explicit, making the workflow recurring rather than one-off. | Turns the concept into concrete loop mechanics: triggers, state, tools, worktrees, permissions, and recurring execution. | Primary official documentation for a platform, SDK, or standard. | high | README.md | 303 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L303 |
ale-0032 | Core Loop Primitives | core-loop-primitives | Docs | 📚 | Automate work with routines | https://code.claude.com/docs/en/routines | external | code.claude.com | Claude Code routines: persistent cloud automations triggered by schedules, API calls, or GitHub events, with connectors, scoped environments, and branch-push limits. | Claude Code routines: persistent cloud automations triggered by schedules, API calls, or GitHub events, with connectors, scoped environments, and branch-push limits. | Claude Code routines: persistent cloud automations triggered by schedules, API calls, or GitHub events, with connectors, scoped environments, and branch-push limits. | The trigger or cadence is explicit, making the workflow recurring rather than one-off. | Turns the concept into concrete loop mechanics: triggers, state, tools, worktrees, permissions, and recurring execution. | Primary official documentation for a platform, SDK, or standard. | high | README.md | 304 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L304 |
ale-0033 | Core Loop Primitives | core-loop-primitives | Docs | 📚 | Desktop scheduled tasks | https://code.claude.com/docs/en/desktop-scheduled-tasks | external | code.claude.com | Local recurring runs on your own machine, with the persistence, file-access, permission, worktree, and missed-run trade-offs that distinguish them from `/loop` and cloud routines. | Local recurring runs on your own machine, with the persistence, file-access, permission, worktree, and missed-run trade-offs that distinguish them from `/loop` and cloud routines. | Local recurring runs on your own machine, with the persistence, file-access, permission, worktree, and missed-run trade-offs that distinguish them from `/loop` and cloud routines. | Workspace isolation is part of the loop design, not an afterthought. | Turns the concept into concrete loop mechanics: triggers, state, tools, worktrees, permissions, and recurring execution. | Primary official documentation for a platform, SDK, or standard. | high | README.md | 305 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L305 |
ale-0034 | Core Loop Primitives | core-loop-primitives | Docs | 📚 | Run parallel sessions with worktrees | https://code.claude.com/docs/en/worktrees | external | code.claude.com | Worktree isolation for parallel sessions and subagents so concurrent edits do not collide. | Worktree isolation for parallel sessions and subagents so concurrent edits do not collide. | Worktree isolation for parallel sessions and subagents so concurrent edits do not collide. | Workspace isolation is part of the loop design, not an afterthought. | Turns the concept into concrete loop mechanics: triggers, state, tools, worktrees, permissions, and recurring execution. | Primary official documentation for a platform, SDK, or standard. | high | README.md | 306 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L306 |
ale-0035 | Core Loop Primitives | core-loop-primitives | Docs | 📚 | Automate actions with hooks | https://code.claude.com/docs/en/hooks-guide | external | code.claude.com | Claude Code hooks guide for deterministic lifecycle control around model actions. | Claude Code hooks guide for deterministic lifecycle control around model actions. | Claude Code hooks guide for deterministic lifecycle control around model actions. | The resource is directly reusable as a starting artifact. | Turns the concept into concrete loop mechanics: triggers, state, tools, worktrees, permissions, and recurring execution. | Primary official documentation for a platform, SDK, or standard. | high | README.md | 307 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L307 |
ale-0036 | Core Loop Primitives | core-loop-primitives | Docs | 📚 | Hooks reference | https://code.claude.com/docs/en/hooks.md | external | code.claude.com | Event-level reference for session, turn, tool-call, and subagent hooks. | Event-level reference for session, turn, tool-call, and subagent hooks. | Event-level reference for session, turn, tool-call, and subagent hooks. | The work separates roles across agents, verifiers, or orchestration layers. | Turns the concept into concrete loop mechanics: triggers, state, tools, worktrees, permissions, and recurring execution. | Primary official documentation for a platform, SDK, or standard. | high | README.md | 308 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L308 |
ale-0037 | Core Loop Primitives | core-loop-primitives | Docs | 📚 | Common workflows - Claude Code | https://code.claude.com/docs/en/common-workflows | external | code.claude.com | Practical workflows for worktrees, subagents, CI, batch processing, planning, and resuming prior work. | Practical workflows for worktrees, subagents, CI, batch processing, planning, and resuming prior work. | Practical workflows for worktrees, subagents, CI, batch processing, planning, and resuming prior work. | Workspace isolation is part of the loop design, not an afterthought. | Turns the concept into concrete loop mechanics: triggers, state, tools, worktrees, permissions, and recurring execution. | Primary official documentation for a platform, SDK, or standard. | high | README.md | 309 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L309 |
ale-0038 | Core Loop Primitives | core-loop-primitives | Docs | 📚 | Manage multiple agents with agent view | https://code.claude.com/docs/en/agent-view.md | external | code.claude.com | Dashboard for dispatching, monitoring, and attaching to background agent sessions. | Dashboard for dispatching, monitoring, and attaching to background agent sessions. | Dashboard for dispatching, monitoring, and attaching to background agent sessions. | Breaks loop design into operational primitives that can be combined across agents and runtimes. | Turns the concept into concrete loop mechanics: triggers, state, tools, worktrees, permissions, and recurring execution. | Primary official documentation for a platform, SDK, or standard. | high | README.md | 310 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L310 |
ale-0039 | Core Loop Primitives | core-loop-primitives | Docs | 📚 | Run agents in parallel | https://code.claude.com/docs/en/agents.md | external | code.claude.com | Compares agent view, subagents, agent teams, worktrees, tasks, and workflows for parallel work. | Compares agent view, subagents, agent teams, worktrees, tasks, and workflows for parallel work. | Compares agent view, subagents, agent teams, worktrees, tasks, and workflows for parallel work. | Workspace isolation is part of the loop design, not an afterthought. | Turns the concept into concrete loop mechanics: triggers, state, tools, worktrees, permissions, and recurring execution. | Primary official documentation for a platform, SDK, or standard. | high | README.md | 311 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L311 |
ale-0040 | Core Loop Primitives | core-loop-primitives | Docs | 📚 | Orchestrate subagents at scale with dynamic workflows | https://code.claude.com/docs/en/workflows | external | code.claude.com | Moves loop state and branching into workflow scripts so large tasks do not overload the conversation context. | Moves loop state and branching into workflow scripts so large tasks do not overload the conversation context. | Moves loop state and branching into workflow scripts so large tasks do not overload the conversation context. | Context is managed as durable loop state rather than a single prompt payload. | Turns the concept into concrete loop mechanics: triggers, state, tools, worktrees, permissions, and recurring execution. | Primary official documentation for a platform, SDK, or standard. | high | README.md | 312 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L312 |
ale-0041 | Core Loop Primitives | core-loop-primitives | Docs | 📚 | Create plugins | https://code.claude.com/docs/en/plugins | external | code.claude.com | Packaging model-invoked skills, agents, hooks, MCP servers, monitors, and settings as shareable loop components. | Packaging model-invoked skills, agents, hooks, MCP servers, monitors, and settings as shareable loop components. | Packaging model-invoked skills, agents, hooks, MCP servers, monitors, and settings as shareable loop components. | Breaks loop design into operational primitives that can be combined across agents and runtimes. | Turns the concept into concrete loop mechanics: triggers, state, tools, worktrees, permissions, and recurring execution. | Primary official documentation for a platform, SDK, or standard. | high | README.md | 313 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L313 |
ale-0042 | Core Loop Primitives | core-loop-primitives | Docs | 📚 | Model Context Protocol | https://modelcontextprotocol.io/docs/getting-started/intro | external | modelcontextprotocol.io | Standard protocol for exposing tools and data sources to agent loops. | Standard protocol for exposing tools and data sources to agent loops. | Standard protocol for exposing tools and data sources to agent loops. | Context is managed as durable loop state rather than a single prompt payload. | Turns the concept into concrete loop mechanics: triggers, state, tools, worktrees, permissions, and recurring execution. | Primary official documentation for a platform, SDK, or standard. | high | README.md | 314 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L314 |
ale-0043 | Core Loop Primitives | core-loop-primitives | Docs | 📚 | Allowing GitHub Copilot CLI to work autonomously | https://docs.github.com/en/copilot/concepts/agents/copilot-cli/autopilot | external | docs.github.com | Copilot CLI autopilot mode plus `/every` and `/after` scheduling, turning the CLI into an unattended loop that runs steps until a task is complete. | Copilot CLI autopilot mode plus `/every` and `/after` scheduling, turning the CLI into an unattended loop that runs steps until a task is complete. | Copilot CLI autopilot mode plus `/every` and `/after` scheduling, turning the CLI into an unattended loop that runs steps until a task is complete. | The trigger or cadence is explicit, making the workflow recurring rather than one-off. | Turns the concept into concrete loop mechanics: triggers, state, tools, worktrees, permissions, and recurring execution. | Primary official documentation for a platform, SDK, or standard. | high | README.md | 315 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L315 |
ale-0044 | Official Runtime Guides | official-runtime-guides | Docs | 📚 | Run long horizon tasks with Codex | https://developers.openai.com/blog/run-long-horizon-tasks-with-codex | external | developers.openai.com | OpenAI's runbook for plan-edit-test-observe-repair-document-repeat work, including specs, plans, status logs, and validation gates. | OpenAI's runbook for plan-edit-test-observe-repair-document-repeat work, including specs, plans, status logs, and validation gates. | OpenAI's runbook for plan-edit-test-observe-repair-document-repeat work, including specs, plans, status logs, and validation gates. | Shows how production platforms expose loops through concrete tools, permissions, skills, agents, and automation features. | Anchors implementation choices in primary vendor and framework documentation instead of second-hand summaries. | Primary official documentation for a platform, SDK, or standard. | high | README.md | 321 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L321 |
ale-0045 | Official Runtime Guides | official-runtime-guides | Docs | 📚 | Best practices - Codex | https://developers.openai.com/codex/learn/best-practices | external | developers.openai.com | Official best practices for context, `AGENTS.md`, MCP, skills, subagents, and automations. | Official best practices for context, `AGENTS.md`, MCP, skills, subagents, and automations. | Official best practices for context, `AGENTS.md`, MCP, skills, subagents, and automations. | Primary-source operational guidance rather than commentary. | Anchors implementation choices in primary vendor and framework documentation instead of second-hand summaries. | Primary official documentation for a platform, SDK, or standard. | high | README.md | 322 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L322 |
ale-0046 | Official Runtime Guides | official-runtime-guides | Docs | 📚 | Agents SDK | https://developers.openai.com/api/docs/guides/agents | external | developers.openai.com | OpenAI guide for agent orchestration, tool execution, approvals, state, guardrails, and observability. | OpenAI guide for agent orchestration, tool execution, approvals, state, guardrails, and observability. | OpenAI guide for agent orchestration, tool execution, approvals, state, guardrails, and observability. | Orchestration and control flow are made explicit and inspectable. | Anchors implementation choices in primary vendor and framework documentation instead of second-hand summaries. | Primary official documentation for a platform, SDK, or standard. | high | README.md | 323 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L323 |
ale-0047 | Official Runtime Guides | official-runtime-guides | Docs | 📚 | Agents - OpenAI Agents SDK | https://openai.github.io/openai-agents-python/agents/ | external | openai.github.io | SDK primitives for agents, tools, handoffs, guardrails, and runner-managed loops. | SDK primitives for agents, tools, handoffs, guardrails, and runner-managed loops. | SDK primitives for agents, tools, handoffs, guardrails, and runner-managed loops. | Shows how production platforms expose loops through concrete tools, permissions, skills, agents, and automation features. | Anchors implementation choices in primary vendor and framework documentation instead of second-hand summaries. | Primary documentation from a platform, SDK, standard, or framework; strong implementation signal. | high | README.md | 324 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L324 |
ale-0048 | Official Runtime Guides | official-runtime-guides | Docs | 📚 | Running agents | https://developers.openai.com/api/docs/guides/agents/running-agents | external | developers.openai.com | OpenAI guide to turns, state, approvals, sessions, and continuation in the SDK runtime loop. | OpenAI guide to turns, state, approvals, sessions, and continuation in the SDK runtime loop. | OpenAI guide to turns, state, approvals, sessions, and continuation in the SDK runtime loop. | State persistence is explicit enough for repeated runs and handoff. | Anchors implementation choices in primary vendor and framework documentation instead of second-hand summaries. | Primary official documentation for a platform, SDK, or standard. | high | README.md | 325 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L325 |
ale-0049 | Official Runtime Guides | official-runtime-guides | Docs | 📚 | Integrations and observability | https://developers.openai.com/api/docs/guides/agents/integrations-observability | external | developers.openai.com | OpenAI guide to MCP wiring and traces as the basis for debugging and evaluation loops. | OpenAI guide to MCP wiring and traces as the basis for debugging and evaluation loops. | OpenAI guide to MCP wiring and traces as the basis for debugging and evaluation loops. | Evaluation data is used as the feedback signal for improving loop behavior. | Anchors implementation choices in primary vendor and framework documentation instead of second-hand summaries. | Primary official documentation for a platform, SDK, or standard. | high | README.md | 326 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L326 |
ale-0050 | Official Runtime Guides | official-runtime-guides | Docs | 📚 | Sandbox Agents | https://developers.openai.com/api/docs/guides/agents/sandboxes | external | developers.openai.com | Splits the harness control plane from the sandbox execution plane for long-running file and command work. | Splits the harness control plane from the sandbox execution plane for long-running file and command work. | Splits the harness control plane from the sandbox execution plane for long-running file and command work. | Execution isolation and permission boundaries are part of the design. | Anchors implementation choices in primary vendor and framework documentation instead of second-hand summaries. | Primary official documentation for a platform, SDK, or standard. | high | README.md | 327 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L327 |
ale-0051 | Official Runtime Guides | official-runtime-guides | Docs | 📚 | Guardrails and human review | https://developers.openai.com/api/docs/guides/agents/guardrails-approvals | external | developers.openai.com | Approval and validation boundaries for sensitive agent actions. | Approval and validation boundaries for sensitive agent actions. | Approval and validation boundaries for sensitive agent actions. | Shows how production platforms expose loops through concrete tools, permissions, skills, agents, and automation features. | Anchors implementation choices in primary vendor and framework documentation instead of second-hand summaries. | Primary official documentation for a platform, SDK, or standard. | high | README.md | 328 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L328 |
ale-0052 | Official Runtime Guides | official-runtime-guides | Docs | 📚 | Building agents with the Claude Agent SDK | https://code.claude.com/docs/en/agent-sdk/overview.md | external | code.claude.com | Claude SDK overview for tool-using agents, subagents, state, permissions, and streaming. | Claude SDK overview for tool-using agents, subagents, state, permissions, and streaming. | Claude SDK overview for tool-using agents, subagents, state, permissions, and streaming. | The work separates roles across agents, verifiers, or orchestration layers. | Anchors implementation choices in primary vendor and framework documentation instead of second-hand summaries. | Primary official documentation for a platform, SDK, or standard. | high | README.md | 329 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L329 |
ale-0053 | Official Runtime Guides | official-runtime-guides | Docs | 📚 | How the agent loop works | https://code.claude.com/docs/en/agent-sdk/agent-loop | external | code.claude.com | Official walkthrough of the inner agent loop that outer recurring loops build on. | Official walkthrough of the inner agent loop that outer recurring loops build on. | Official walkthrough of the inner agent loop that outer recurring loops build on. | Primary-source operational guidance rather than commentary. | Anchors implementation choices in primary vendor and framework documentation instead of second-hand summaries. | Primary official documentation for a platform, SDK, or standard. | high | README.md | 330 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L330 |
ale-0054 | Official Runtime Guides | official-runtime-guides | Docs | 📚 | Extend Claude with skills | https://code.claude.com/docs/en/skills | external | code.claude.com | Claude Code skill system for reusable loop instructions and assets. | Claude Code skill system for reusable loop instructions and assets. | Claude Code skill system for reusable loop instructions and assets. | Shows how production platforms expose loops through concrete tools, permissions, skills, agents, and automation features. | Anchors implementation choices in primary vendor and framework documentation instead of second-hand summaries. | Primary official documentation for a platform, SDK, or standard. | high | README.md | 331 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L331 |
ale-0055 | Official Runtime Guides | official-runtime-guides | Docs | 📚 | Create custom subagents | https://code.claude.com/docs/en/sub-agents | external | code.claude.com | Claude Code custom subagents with isolated context, model choice, and tool permissions. | Claude Code custom subagents with isolated context, model choice, and tool permissions. | Claude Code custom subagents with isolated context, model choice, and tool permissions. | Context is managed as durable loop state rather than a single prompt payload. | Anchors implementation choices in primary vendor and framework documentation instead of second-hand summaries. | Primary official documentation for a platform, SDK, or standard. | high | README.md | 332 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L332 |
ale-0056 | Official Runtime Guides | official-runtime-guides | Docs | 📚 | GitHub Agentic Workflows | https://github.github.com/gh-aw/ | external | github.github.com | Repository automation that runs coding agents in GitHub Actions on events or schedules with guardrails. | Repository automation that runs coding agents in GitHub Actions on events or schedules with guardrails. | Repository automation that runs coding agents in GitHub Actions on events or schedules with guardrails. | The trigger or cadence is explicit, making the workflow recurring rather than one-off. | Anchors implementation choices in primary vendor and framework documentation instead of second-hand summaries. | Primary documentation from a platform, SDK, standard, or framework; strong implementation signal. | high | README.md | 333 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L333 |
ale-0057 | Official Runtime Guides | official-runtime-guides | Blog | 📝 | GitHub Agentic Workflows technical preview | https://github.blog/changelog/2026-02-13-github-agentic-workflows-are-now-in-technical-preview/ | external | github.blog | Changelog announcement for Markdown-defined agentic workflows in GitHub Actions. | Changelog announcement for Markdown-defined agentic workflows in GitHub Actions. | Changelog announcement for Markdown-defined agentic workflows in GitHub Actions. | Shows how production platforms expose loops through concrete tools, permissions, skills, agents, and automation features. | Anchors implementation choices in primary vendor and framework documentation instead of second-hand summaries. | Practitioner essay or field note; signal comes from concrete experience, framing, examples, or adoption discussion. | contextual | README.md | 334 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L334 |
ale-0058 | Official Runtime Guides | official-runtime-guides | Docs | 📚 | Continuous AI | https://githubnext.com/projects/continuous-ai/ | external | githubnext.com | GitHub Next's umbrella framing for CI/CD-style AI automation across the software lifecycle, the category that agentic workflows demonstrate. | GitHub Next's umbrella framing for CI/CD-style AI automation across the software lifecycle, the category that agentic workflows demonstrate. | GitHub Next's umbrella framing for CI/CD-style AI automation across the software lifecycle, the category that agentic workflows demonstrate. | Shows how production platforms expose loops through concrete tools, permissions, skills, agents, and automation features. | Anchors implementation choices in primary vendor and framework documentation instead of second-hand summaries. | Primary documentation from a platform, SDK, standard, or framework; strong implementation signal. | high | README.md | 335 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L335 |
ale-0059 | Official Runtime Guides | official-runtime-guides | Blog | 📝 | Automate repository tasks with GitHub Agentic Workflows | https://github.blog/ai-and-ml/automate-repository-tasks-with-github-agentic-workflows/ | external | github.blog | Official walkthrough of writing Markdown-defined agentic workflows with guardrails for triage, QA, and docs chores. | Official walkthrough of writing Markdown-defined agentic workflows with guardrails for triage, QA, and docs chores. | Official walkthrough of writing Markdown-defined agentic workflows with guardrails for triage, QA, and docs chores. | Primary-source operational guidance rather than commentary. | Anchors implementation choices in primary vendor and framework documentation instead of second-hand summaries. | Practitioner essay or field note; signal comes from concrete experience, framing, examples, or adoption discussion. | contextual | README.md | 336 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L336 |
ale-0060 | Official Runtime Guides | official-runtime-guides | Blog | 📝 | Continuous AI in practice: What developers can automate today with agentic CI | https://github.blog/ai-and-ml/generative-ai/continuous-ai-in-practice-what-developers-can-automate-today-with-agentic-ci/ | external | github.blog | Concrete agentic-CI automations available today, with recurring patterns for triage, review, and documentation upkeep. | Concrete agentic-CI automations available today, with recurring patterns for triage, review, and documentation upkeep. | Concrete agentic-CI automations available today, with recurring patterns for triage, review, and documentation upkeep. | Shows how production platforms expose loops through concrete tools, permissions, skills, agents, and automation features. | Anchors implementation choices in primary vendor and framework documentation instead of second-hand summaries. | Practitioner essay or field note; signal comes from concrete experience, framing, examples, or adoption discussion. | contextual | README.md | 337 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L337 |
ale-0061 | Official Runtime Guides | official-runtime-guides | Docs | 📚 | About GitHub Copilot coding agent | https://docs.github.com/en/copilot/concepts/agents/coding-agent/about-coding-agent | external | docs.github.com | GitHub's autonomous coding agent: assign an issue, the agent works in an isolated Actions-powered workspace, and a reviewable pull request comes back. | GitHub's autonomous coding agent: assign an issue, the agent works in an isolated Actions-powered workspace, and a reviewable pull request comes back. | GitHub's autonomous coding agent: assign an issue, the agent works in an isolated Actions-powered workspace, and a reviewable pull request comes back. | Shows how production platforms expose loops through concrete tools, permissions, skills, agents, and automation features. | Anchors implementation choices in primary vendor and framework documentation instead of second-hand summaries. | Primary official documentation for a platform, SDK, or standard. | high | README.md | 338 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L338 |
ale-0062 | Official Runtime Guides | official-runtime-guides | Blog | 📝 | GitHub Copilot: Meet the new coding agent | https://github.blog/news-insights/product-news/github-copilot-meet-the-new-coding-agent/ | external | github.blog | Launch overview of the issue-to-PR delegation loop, including iteration on review feedback. | Launch overview of the issue-to-PR delegation loop, including iteration on review feedback. | Launch overview of the issue-to-PR delegation loop, including iteration on review feedback. | Shows how production platforms expose loops through concrete tools, permissions, skills, agents, and automation features. | Anchors implementation choices in primary vendor and framework documentation instead of second-hand summaries. | Practitioner essay or field note; signal comes from concrete experience, framing, examples, or adoption discussion. | contextual | README.md | 339 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L339 |
ale-0063 | Official Runtime Guides | official-runtime-guides | Docs | 📚 | Jules | https://jules.google/docs | external | jules.google | Google's asynchronous coding agent that plans, executes tasks in isolated cloud VMs, and returns reviewable diffs. | Google's asynchronous coding agent that plans, executes tasks in isolated cloud VMs, and returns reviewable diffs. | Google's asynchronous coding agent that plans, executes tasks in isolated cloud VMs, and returns reviewable diffs. | Shows how production platforms expose loops through concrete tools, permissions, skills, agents, and automation features. | Anchors implementation choices in primary vendor and framework documentation instead of second-hand summaries. | Primary documentation from a platform, SDK, standard, or framework; strong implementation signal. | high | README.md | 340 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L340 |
ale-0064 | Official Runtime Guides | official-runtime-guides | Docs | 📚 | Cursor cloud agents | https://cursor.com/docs/cloud-agent | external | cursor.com | Remote agents that work asynchronously in isolated environments and hand results back for review. | Remote agents that work asynchronously in isolated environments and hand results back for review. | Remote agents that work asynchronously in isolated environments and hand results back for review. | Shows how production platforms expose loops through concrete tools, permissions, skills, agents, and automation features. | Anchors implementation choices in primary vendor and framework documentation instead of second-hand summaries. | Primary documentation from a platform, SDK, standard, or framework; strong implementation signal. | high | README.md | 341 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L341 |
ale-0065 | Official Runtime Guides | official-runtime-guides | Docs | 📚 | Devin Docs | https://docs.devin.ai/get-started/devin-intro | external | docs.devin.ai | Documentation for a long-running autonomous software engineer with sessions, playbooks, knowledge, and review boundaries. | Documentation for a long-running autonomous software engineer with sessions, playbooks, knowledge, and review boundaries. | Documentation for a long-running autonomous software engineer with sessions, playbooks, knowledge, and review boundaries. | Shows how production platforms expose loops through concrete tools, permissions, skills, agents, and automation features. | Anchors implementation choices in primary vendor and framework documentation instead of second-hand summaries. | Primary documentation from a platform, SDK, standard, or framework; strong implementation signal. | high | README.md | 342 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L342 |
ale-0066 | Official Runtime Guides | official-runtime-guides | Docs | 📚 | Writing effective tools for AI agents | https://www.anthropic.com/engineering/writing-tools-for-agents | external | www.anthropic.com | Anthropic's guidance on evaluating and improving tool specs using agentic loops and realistic tasks. | Anthropic's guidance on evaluating and improving tool specs using agentic loops and realistic tasks. | Anthropic's guidance on evaluating and improving tool specs using agentic loops and realistic tasks. | Shows how production platforms expose loops through concrete tools, permissions, skills, agents, and automation features. | Anchors implementation choices in primary vendor and framework documentation instead of second-hand summaries. | Primary documentation from a platform, SDK, standard, or framework; strong implementation signal. | high | README.md | 343 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L343 |
ale-0067 | Official Runtime Guides | official-runtime-guides | Docs | 📚 | Introducing advanced tool use on the Claude Developer Platform | https://www.anthropic.com/engineering/advanced-tool-use?e45d281a_page=3 | external | www.anthropic.com | Tool search, programmatic tool calling, and tool-use examples for scaling large tool libraries without flooding context. | Tool search, programmatic tool calling, and tool-use examples for scaling large tool libraries without flooding context. | Tool search, programmatic tool calling, and tool-use examples for scaling large tool libraries without flooding context. | Context is managed as durable loop state rather than a single prompt payload. | Anchors implementation choices in primary vendor and framework documentation instead of second-hand summaries. | Primary documentation from a platform, SDK, standard, or framework; strong implementation signal. | high | README.md | 344 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L344 |
ale-0068 | Official Runtime Guides | official-runtime-guides | Docs | 📚 | Effective harnesses for long-running agents | https://www.anthropic.com/engineering/effective-harnesses-for-long-running-agents | external | www.anthropic.com | Anthropic's guidance for agents that work across many context windows: durable progress artifacts, environment setup, and self-verification. | Anthropic's guidance for agents that work across many context windows: durable progress artifacts, environment setup, and self-verification. | Anthropic's guidance for agents that work across many context windows: durable progress artifacts, environment setup, and self-verification. | Durable execution and replay are treated as first-class loop infrastructure. | Anchors implementation choices in primary vendor and framework documentation instead of second-hand summaries. | Primary documentation from a platform, SDK, standard, or framework; strong implementation signal. | high | README.md | 345 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L345 |
ale-0069 | Official Runtime Guides | official-runtime-guides | Docs | 📚 | Claude Code best practices | https://code.claude.com/docs/en/best-practices | external | code.claude.com | Widely cited workflow guidance that underlies many recurring Claude Code loops. | Widely cited workflow guidance that underlies many recurring Claude Code loops. | Widely cited workflow guidance that underlies many recurring Claude Code loops. | Shows how production platforms expose loops through concrete tools, permissions, skills, agents, and automation features. | Anchors implementation choices in primary vendor and framework documentation instead of second-hand summaries. | Primary official documentation for a platform, SDK, or standard. | high | README.md | 346 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L346 |
ale-0070 | Research Foundations | research-foundations | Paper | 📄 | ReAct: Synergizing Reasoning and Acting in Language Models | https://arxiv.org/abs/2210.03629 | external | arxiv.org | Foundational reason-act-observe loop for tool-using language agents. | Foundational reason-act-observe loop for tool-using language agents. | Foundational reason-act-observe loop for tool-using language agents. | Connects Loop Engineering to prior agent-loop and feedback-loop research. | Connects Loop Engineering to prior work on agent loops, planning, reflection, feedback, and long-horizon autonomy. | Research preprint with stable arXiv identifier. | high | README.md | 352 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L352 |
ale-0071 | Research Foundations | research-foundations | Paper | 📄 | Reflexion: Language Agents with Verbal Reinforcement Learning | https://arxiv.org/abs/2303.11366 | external | arxiv.org | Converts environment feedback into written reflections stored in memory for future attempts. | Converts environment feedback into written reflections stored in memory for future attempts. | Converts environment feedback into written reflections stored in memory for future attempts. | Persistent memory is treated as an external runtime artifact. | Connects Loop Engineering to prior work on agent loops, planning, reflection, feedback, and long-horizon autonomy. | Research preprint with stable arXiv identifier. | high | README.md | 353 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L353 |
ale-0072 | Research Foundations | research-foundations | Paper | 📄 | Self-Refine: Iterative Refinement with Self-Feedback | https://arxiv.org/abs/2303.17651 | external | arxiv.org | Generate-feedback-refine loop where a model improves outputs over repeated passes. | Generate-feedback-refine loop where a model improves outputs over repeated passes. | Generate-feedback-refine loop where a model improves outputs over repeated passes. | Connects Loop Engineering to prior agent-loop and feedback-loop research. | Connects Loop Engineering to prior work on agent loops, planning, reflection, feedback, and long-horizon autonomy. | Research preprint with stable arXiv identifier. | high | README.md | 354 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L354 |
ale-0073 | Research Foundations | research-foundations | Paper | 📄 | CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing | https://arxiv.org/abs/2305.11738 | external | arxiv.org | Uses tools to ground critique and correction rather than relying only on introspection. | Uses tools to ground critique and correction rather than relying only on introspection. | Uses tools to ground critique and correction rather than relying only on introspection. | Connects Loop Engineering to prior agent-loop and feedback-loop research. | Connects Loop Engineering to prior work on agent loops, planning, reflection, feedback, and long-horizon autonomy. | Research preprint with stable arXiv identifier. | high | README.md | 355 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L355 |
ale-0074 | Research Foundations | research-foundations | Paper | 📄 | Tree of Thoughts | https://arxiv.org/abs/2305.10601 | external | arxiv.org | Search over multiple reasoning branches; relevant when loop design needs exploration before committing. | Search over multiple reasoning branches; relevant when loop design needs exploration before committing. | Search over multiple reasoning branches; relevant when loop design needs exploration before committing. | Connects Loop Engineering to prior agent-loop and feedback-loop research. | Connects Loop Engineering to prior work on agent loops, planning, reflection, feedback, and long-horizon autonomy. | Research preprint with stable arXiv identifier. | high | README.md | 356 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L356 |
ale-0075 | Research Foundations | research-foundations | Paper | 📄 | Graph of Thoughts | https://arxiv.org/abs/2308.09687 | external | arxiv.org | Generalizes thought structures beyond chains and trees, useful for complex loop planning and aggregation. | Generalizes thought structures beyond chains and trees, useful for complex loop planning and aggregation. | Generalizes thought structures beyond chains and trees, useful for complex loop planning and aggregation. | Control flow is represented as an inspectable graph rather than an opaque prompt loop. | Connects Loop Engineering to prior work on agent loops, planning, reflection, feedback, and long-horizon autonomy. | Research preprint with stable arXiv identifier. | high | README.md | 357 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L357 |
ale-0076 | Research Foundations | research-foundations | Paper | 📄 | Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models | https://arxiv.org/abs/2310.04406 | external | arxiv.org | Combines search, action, and environment feedback for language agents. | Combines search, action, and environment feedback for language agents. | Combines search, action, and environment feedback for language agents. | Connects Loop Engineering to prior agent-loop and feedback-loop research. | Connects Loop Engineering to prior work on agent loops, planning, reflection, feedback, and long-horizon autonomy. | Research preprint with stable arXiv identifier. | high | README.md | 358 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L358 |
ale-0077 | Research Foundations | research-foundations | Paper | 📄 | Voyager: An Open-Ended Embodied Agent with Large Language Models | https://arxiv.org/abs/2305.16291 | external | arxiv.org | Demonstrates lifelong skill acquisition through iterative exploration, feedback, and a skill library. | Demonstrates lifelong skill acquisition through iterative exploration, feedback, and a skill library. | Demonstrates lifelong skill acquisition through iterative exploration, feedback, and a skill library. | Connects Loop Engineering to prior agent-loop and feedback-loop research. | Connects Loop Engineering to prior work on agent loops, planning, reflection, feedback, and long-horizon autonomy. | Research preprint with stable arXiv identifier. | high | README.md | 359 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L359 |
ale-0078 | Research Foundations | research-foundations | Paper | 📄 | Generative Agents: Interactive Simulacra of Human Behavior | https://arxiv.org/abs/2304.03442 | external | arxiv.org | Introduces reflection and memory mechanisms for long-running agent behavior. | Introduces reflection and memory mechanisms for long-running agent behavior. | Introduces reflection and memory mechanisms for long-running agent behavior. | Persistent memory is treated as an external runtime artifact. | Connects Loop Engineering to prior work on agent loops, planning, reflection, feedback, and long-horizon autonomy. | Research preprint with stable arXiv identifier. | high | README.md | 360 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L360 |
ale-0079 | Research Foundations | research-foundations | Paper | 📄 | Measuring AI Ability to Complete Long Software Tasks | https://arxiv.org/abs/2503.14499 | external | arxiv.org | METR's task-length time horizon metric; grounds why loop budgets, checkpoints, and escalation matter as autonomous work gets longer. | METR's task-length time horizon metric; grounds why loop budgets, checkpoints, and escalation matter as autonomous work gets longer. | METR's task-length time horizon metric; grounds why loop budgets, checkpoints, and escalation matter as autonomous work gets longer. | Checkpointed state makes long-running agent work recoverable across failures. | Connects Loop Engineering to prior work on agent loops, planning, reflection, feedback, and long-horizon autonomy. | Research preprint with stable arXiv identifier. | high | README.md | 361 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L361 |
ale-0080 | Research Foundations | research-foundations | Blog | 📝 | Measuring AI Ability to Complete Long Tasks | https://metr.org/blog/2025-03-19-measuring-ai-ability-to-complete-long-tasks/ | external | metr.org | Accessible summary of the 50% task-completion time horizon and its doubling trend. | Accessible summary of the 50% task-completion time horizon and its doubling trend. | Accessible summary of the 50% task-completion time horizon and its doubling trend. | Connects Loop Engineering to prior agent-loop and feedback-loop research. | Connects Loop Engineering to prior work on agent loops, planning, reflection, feedback, and long-horizon autonomy. | Practitioner essay or field note; signal comes from concrete experience, framing, examples, or adoption discussion. | contextual | README.md | 362 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L362 |
ale-0081 | Research Foundations | research-foundations | Paper | 📄 | Reflection-Driven Control for Trustworthy Code Agents | https://arxiv.org/abs/2512.21354 | external | arxiv.org | Elevates reflection from an external pass to an internal control loop that monitors the agent's decision path during generation and constrains risky steps with low overhead. | Elevates reflection from an external pass to an internal control loop that monitors the agent's decision path during generation and constrains risky steps with low overhead. | Elevates reflection from an external pass to an internal control loop that monitors the agent's decision path during generation and constrains risky steps with low overhead. | Connects Loop Engineering to prior agent-loop and feedback-loop research. | Connects Loop Engineering to prior work on agent loops, planning, reflection, feedback, and long-horizon autonomy. | Research preprint with stable arXiv identifier. | high | README.md | 363 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L363 |
ale-0082 | Research Foundations | research-foundations | Paper | 📄 | PARC: An Autonomous Self-Reflective Coding Agent for Robust Execution of Long-Horizon Tasks | https://arxiv.org/abs/2512.03549 | external | arxiv.org | Hierarchical plan-execute-assess loops that detect and correct strategic errors during multi-hour autonomous runs. | Hierarchical plan-execute-assess loops that detect and correct strategic errors during multi-hour autonomous runs. | Hierarchical plan-execute-assess loops that detect and correct strategic errors during multi-hour autonomous runs. | The work targets tasks that exceed a single context window or prompt session. | Connects Loop Engineering to prior work on agent loops, planning, reflection, feedback, and long-horizon autonomy. | Research preprint with stable arXiv identifier. | high | README.md | 364 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L364 |
ale-0083 | Research Foundations | research-foundations | Paper | 📄 | When the Specification Emerges: Benchmarking Faithfulness Loss in Long-Horizon Coding Agents | https://arxiv.org/abs/2603.17104 | external | arxiv.org | Measures how agents drift from intent when specifications arrive incrementally across a long loop, and proposes a mitigation that recovers most of the loss. | Measures how agents drift from intent when specifications arrive incrementally across a long loop, and proposes a mitigation that recovers most of the loss. | Measures how agents drift from intent when specifications arrive incrementally across a long loop, and proposes a mitigation that recovers most of the loss. | The work targets tasks that exceed a single context window or prompt session. | Connects Loop Engineering to prior work on agent loops, planning, reflection, feedback, and long-horizon autonomy. | Research preprint with stable arXiv identifier. | high | README.md | 365 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L365 |
ale-0084 | Research Foundations | research-foundations | Tool | 🧰 | Reflexion code | https://github.com/noahshinn/reflexion | external | github.com | Reference implementation and experiments for verbal reinforcement loops. | Reference implementation and experiments for verbal reinforcement loops. | Provides an implementation surface for loop builders: Reference implementation and experiments for verbal reinforcement loops. | Connects Loop Engineering to prior agent-loop and feedback-loop research. | Connects Loop Engineering to prior work on agent loops, planning, reflection, feedback, and long-horizon autonomy. | Source repository or implementation artifact that can be inspected directly. | high | README.md | 366 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L366 |
ale-0085 | Agent Workflow Patterns | agent-workflow-patterns | Docs | 📚 | Building Effective Agents | https://www.anthropic.com/engineering/building-effective-agents | external | www.anthropic.com | Anthropic's canonical guide to workflows and agents, including evaluator-optimizer and orchestrator-workers patterns. | Anthropic's canonical guide to workflows and agents, including evaluator-optimizer and orchestrator-workers patterns. | Anthropic's canonical guide to workflows and agents, including evaluator-optimizer and orchestrator-workers patterns. | Orchestration and control flow are made explicit and inspectable. | Shows reusable architecture patterns that compose agents, evaluators, workers, and durable workflow control. | Primary documentation from a platform, SDK, standard, or framework; strong implementation signal. | high | README.md | 372 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L372 |
ale-0086 | Agent Workflow Patterns | agent-workflow-patterns | Blog | 📝 | How we built our multi-agent research system | https://www.anthropic.com/engineering/multi-agent-research-system | external | www.anthropic.com | Detailed orchestrator-worker system with planning, memory, subagents, citation passes, and iterative research loops. | Detailed orchestrator-worker system with planning, memory, subagents, citation passes, and iterative research loops. | Detailed orchestrator-worker system with planning, memory, subagents, citation passes, and iterative research loops. | Persistent memory is treated as an external runtime artifact. | Shows reusable architecture patterns that compose agents, evaluators, workers, and durable workflow control. | Practitioner essay or field note; signal comes from concrete experience, framing, examples, or adoption discussion. | contextual | README.md | 373 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L373 |
ale-0087 | Agent Workflow Patterns | agent-workflow-patterns | Paper | 📄 | Building Effective AI Agents: Architecture Patterns and Implementation Frameworks | https://resources.anthropic.com/hubfs/Building%20Effective%20AI%20Agents-%20Architecture%20Patterns%20and%20Implementation%20Frameworks.pdf | external | resources.anthropic.com | PDF overview of agent architecture patterns, including generator-evaluator loops. | PDF overview of agent architecture patterns, including generator-evaluator loops. | PDF overview of agent architecture patterns, including generator-evaluator loops. | Distills reusable agent-control patterns that are not tied to a single vendor implementation. | Shows reusable architecture patterns that compose agents, evaluators, workers, and durable workflow control. | Research paper or preprint; strongest signal when the entry contributes a method, benchmark, measurement, or formal framing. | high | README.md | 374 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L374 |
ale-0088 | Agent Workflow Patterns | agent-workflow-patterns | Blog | 📝 | AI Agent Architectures | https://hld.handbook.academy/curriculum/ai-ml-system-design/ai-agent-architectures/ | external | hld.handbook.academy | System-design overview of ReAct, reflection, planning, tool use, memory, and control strategies. | System-design overview of ReAct, reflection, planning, tool use, memory, and control strategies. | System-design overview of ReAct, reflection, planning, tool use, memory, and control strategies. | Persistent memory is treated as an external runtime artifact. | Shows reusable architecture patterns that compose agents, evaluators, workers, and durable workflow control. | Practitioner essay or field note; signal comes from concrete experience, framing, examples, or adoption discussion. | contextual | README.md | 375 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L375 |
ale-0089 | Agent Workflow Patterns | agent-workflow-patterns | Blog | 📝 | What Are Agentic Workflows? | https://weaviate.io/blog/what-are-agentic-workflows | external | weaviate.io | Accessible taxonomy of planning, tool use, reflection, and memory patterns. | Accessible taxonomy of planning, tool use, reflection, and memory patterns. | Accessible taxonomy of planning, tool use, reflection, and memory patterns. | Persistent memory is treated as an external runtime artifact. | Shows reusable architecture patterns that compose agents, evaluators, workers, and durable workflow control. | Practitioner essay or field note; signal comes from concrete experience, framing, examples, or adoption discussion. | contextual | README.md | 376 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L376 |
ale-0090 | Agent Workflow Patterns | agent-workflow-patterns | Blog | 📝 | Agent Planning & Reflection Patterns | https://learnaivisually.com/tracks/ai-agents/planning-reflection | external | learnaivisually.com | Visual explanation of plan-execute, observe, reflect, retry, and stop patterns. | Visual explanation of plan-execute, observe, reflect, retry, and stop patterns. | Visual explanation of plan-execute, observe, reflect, retry, and stop patterns. | Distills reusable agent-control patterns that are not tied to a single vendor implementation. | Shows reusable architecture patterns that compose agents, evaluators, workers, and durable workflow control. | Practitioner essay or field note; signal comes from concrete experience, framing, examples, or adoption discussion. | contextual | README.md | 377 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L377 |
ale-0091 | Agent Workflow Patterns | agent-workflow-patterns | Blog | 📝 | Agentic Design Patterns | https://addyosmani.com/agents/04-agentic-design-patterns/ | external | addyosmani.com | Practical overview of ReAct, reflection, tool use, planning, and how to combine them in real-world agents. | Practical overview of ReAct, reflection, tool use, planning, and how to combine them in real-world agents. | Practical overview of ReAct, reflection, tool use, planning, and how to combine them in real-world agents. | Distills reusable agent-control patterns that are not tied to a single vendor implementation. | Shows reusable architecture patterns that compose agents, evaluators, workers, and durable workflow control. | Practitioner essay or field note; signal comes from concrete experience, framing, examples, or adoption discussion. | contextual | README.md | 378 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L378 |
ale-0092 | Agent Workflow Patterns | agent-workflow-patterns | Pattern | 🔁 | 12 Factor Agents | https://github.com/humanlayer/12-factor-agents | external | github.com | Operating principles for production agents, including explicit prompts, state ownership, and pause-resume behavior. | Operating principles for production agents, including explicit prompts, state ownership, and pause-resume behavior. | Provides a reusable loop pattern: Operating principles for production agents, including explicit prompts, state ownership, and pause-resume behavior. | State persistence is explicit enough for repeated runs and handoff. | Shows reusable architecture patterns that compose agents, evaluators, workers, and durable workflow control. | Source repository or implementation artifact that can be inspected directly. | high | README.md | 379 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L379 |
ale-0093 | Agent Workflow Patterns | agent-workflow-patterns | Pattern | 🔁 | Durable Execution for Agentic Workflows | https://arizenai.com/durable-execution/ | external | arizenai.com | Explains checkpointing, event-sourced journals, replay, and recovery for long-running agent workflows. | Explains checkpointing, event-sourced journals, replay, and recovery for long-running agent workflows. | Provides a reusable loop pattern: Explains checkpointing, event-sourced journals, replay, and recovery for long-running agent workflows. | Durable execution and replay are treated as first-class loop infrastructure. | Shows reusable architecture patterns that compose agents, evaluators, workers, and durable workflow control. | Operational pattern or playbook; signal comes from reusable loop structure and practical transferability. | medium | README.md | 380 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L380 |
ale-0094 | Agent Workflow Patterns | agent-workflow-patterns | Paper | 📄 | Code as Agent Harness | https://arxiv.org/abs/2605.18747 | external | arxiv.org | Organizes agent infrastructure into harness interface, feedback-driven control, and multi-agent scaling for executable, verifiable, stateful systems; maps the harness layer that loops build on. | Organizes agent infrastructure into harness interface, feedback-driven control, and multi-agent scaling for executable, verifiable, stateful systems; maps the harness layer that loops build on. | Organizes agent infrastructure into harness interface, feedback-driven control, and multi-agent scaling for executable, verifiable, stateful systems; maps the harness layer that loops build on. | The work separates roles across agents, verifiers, or orchestration layers. | Shows reusable architecture patterns that compose agents, evaluators, workers, and durable workflow control. | Research preprint with stable arXiv identifier. | high | README.md | 381 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L381 |
ale-0095 | Agent Workflow Patterns | agent-workflow-patterns | Paper | 📄 | Agentic Agile-V: From Vibe Coding to Verified Engineering | https://arxiv.org/abs/2605.20456 | external | arxiv.org | Proposes a task-level SCOPE-V loop (Specify, Constrain, Orchestrate, Prove, Evolve, Verify) with human approval gates, arguing agentic coding needs process control and independent verification, not better prompts. | Proposes a task-level SCOPE-V loop (Specify, Constrain, Orchestrate, Prove, Evolve, Verify) with human approval gates, arguing agentic coding needs process control and independent verification, not better prompts. | Proposes a task-level SCOPE-V loop (Specify, Constrain, Orchestrate, Prove, Evolve, Verify) with human approval gates, arguing agentic coding needs process control and independent verification, not better prompts. | Verification is promoted from a final check to a loop-control signal. | Shows reusable architecture patterns that compose agents, evaluators, workers, and durable workflow control. | Research preprint with stable arXiv identifier. | high | README.md | 382 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L382 |
ale-0096 | Agent Workflow Patterns | agent-workflow-patterns | Paper | 📄 | Harness Engineering for Language Agents: The Harness Layer as Control, Agency, and Runtime | https://www.preprints.org/manuscript/202603.1756 | external | www.preprints.org | Decomposes the harness layer that loops build on into control, agency, and runtime, audits 63 harness works, and proposes a HarnessCard so reported agent gains can be separated from harness effects. | Decomposes the harness layer that loops build on into control, agency, and runtime, audits 63 harness works, and proposes a HarnessCard so reported agent gains can be separated from harness effects. | Decomposes the harness layer that loops build on into control, agency, and runtime, audits 63 harness works, and proposes a HarnessCard so reported agent gains can be separated from harness effects. | Distills reusable agent-control patterns that are not tied to a single vendor implementation. | Shows reusable architecture patterns that compose agents, evaluators, workers, and durable workflow control. | Research paper or preprint; strongest signal when the entry contributes a method, benchmark, measurement, or formal framing. | high | README.md | 383 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L383 |
ale-0097 | Coding-Agent Loop Systems | coding-agent-loop-systems | Tool | 🧰 | SWE-agent | https://github.com/SWE-agent/SWE-agent | external | github.com | Agent-computer interface and autonomous software engineering agent for repository tasks. | Agent-computer interface and autonomous software engineering agent for repository tasks. | Provides an implementation surface for loop builders: Agent-computer interface and autonomous software engineering agent for repository tasks. | Uses real automated software-engineering systems as evidence for practical loop architectures. | Grounds the practice in real coding-agent systems, bare loops, orchestration tools, and long-running software tasks. | Source repository or implementation artifact that can be inspected directly. | high | README.md | 387 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L387 |
ale-0098 | Coding-Agent Loop Systems | coding-agent-loop-systems | Paper | 📄 | SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering | https://arxiv.org/abs/2405.15793 | external | arxiv.org | Paper behind SWE-agent and its interface design. | Paper behind SWE-agent and its interface design. | Paper behind SWE-agent and its interface design. | Uses real automated software-engineering systems as evidence for practical loop architectures. | Grounds the practice in real coding-agent systems, bare loops, orchestration tools, and long-running software tasks. | Research preprint with stable arXiv identifier. | high | README.md | 388 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L388 |
ale-0099 | Coding-Agent Loop Systems | coding-agent-loop-systems | Tool | 🧰 | mini-SWE-agent | https://mini-swe-agent.com/latest/ | external | mini-swe-agent.com | Minimal coding agent that is useful for understanding the core loop without a large framework. | Minimal coding agent that is useful for understanding the core loop without a large framework. | Provides an implementation surface for loop builders: Minimal coding agent that is useful for understanding the core loop without a large framework. | Uses real automated software-engineering systems as evidence for practical loop architectures. | Grounds the practice in real coding-agent systems, bare loops, orchestration tools, and long-running software tasks. | Working implementation, framework, runtime, or repository; signal comes from usable code and ecosystem adoption. | high | README.md | 389 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L389 |
ale-0100 | Coding-Agent Loop Systems | coding-agent-loop-systems | Tool | 🧰 | OpenHands | https://github.com/All-Hands-AI/OpenHands | external | github.com | Open platform for AI software developers as generalist agents. | Open platform for AI software developers as generalist agents. | Provides an implementation surface for loop builders: Open platform for AI software developers as generalist agents. | Uses real automated software-engineering systems as evidence for practical loop architectures. | Grounds the practice in real coding-agent systems, bare loops, orchestration tools, and long-running software tasks. | Source repository or implementation artifact that can be inspected directly. | high | README.md | 390 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L390 |
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