row_id string | section string | section_slug string | resource_type string | marker string | title string | url string | url_kind string | domain string | annotation string | description string | key_contribution string | novelty string | impact string | signal string | signal_strength string | source_readme string | source_line int64 | source_url string | date_added string | collection string | collection_slug string | user_goal string | lifecycle_stages string | audience string | loop_layer string | scope_fit string | evidence_class string | evidence_tier string | source_status string | canonical_url string | source_title string | source_description string | authors string | publication_date string | publication_year string | publication_venue string | publisher string | doi string | publication_note string | primary_category string | metadata_source string | github_repo string | github_stars string | github_forks string | github_license string | github_created_at string | github_updated_at string | arxiv_id string | audited_at timestamp[ms] |
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ale-0001 | Concept Guides | concept-guides | Template | 🧾 | Working Definition | DEFINITION.md | local_path | Short definition, positioning, minimal loop test, and citation note. | Short definition, positioning, minimal loop test, and citation note. | Short definition, positioning, minimal loop test, and citation note. | Makes an otherwise informal practice concrete and reusable. Short definition, positioning, minimal loop test, and citation note. | Use Working Definition to understand the evidence, vocabulary, and lineage behind recurring agent systems. | Repository file; inspect the linked schema, example, guide, or implementation. | medium | README.md | 318 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L318 | Learn | learn | Understand the field and its boundaries. | verification | newcomer;builder | cross-layer | direct | repository-native | A | local_ok | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/DEFINITION.md | Canonical Definition | 2026 | GitHub | GitHub | repository | 2026-07-18T08:16:45 | |||||||||||||||
ale-0002 | Concept Guides | concept-guides | Template | 🧾 | Loop Engineering Manifesto | MANIFESTO.md | local_path | Concise statement of the concept, commitments, non-goals, and success standard. | Concise statement of the concept, commitments, non-goals, and success standard. | Concise statement of the concept, commitments, non-goals, and success standard. | Makes an otherwise informal practice concrete and reusable. Concise statement of the concept, commitments, non-goals, and success standard. | Use Loop Engineering Manifesto to understand the evidence, vocabulary, and lineage behind recurring agent systems. | Repository file; inspect the linked schema, example, guide, or implementation. | medium | README.md | 319 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L319 | Learn | learn | Understand the field and its boundaries. | objective | newcomer;builder | cross-layer | direct | repository-native | A | local_ok | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/MANIFESTO.md | Loop Engineering Manifesto | 2026 | GitHub | GitHub | repository | 2026-07-18T08:16:45 | |||||||||||||||
ale-0003 | Concept Guides | concept-guides | Template | 🧾 | Loop Engineering Taxonomy | TAXONOMY.md | local_path | Classification by trigger, intake, verification, state model, topology, and operating domain. | Classification by trigger, intake, verification, state model, topology, and operating domain. | Classification by trigger, intake, verification, state model, topology, and operating domain. | Makes an otherwise informal practice concrete and reusable. Classification by trigger, intake, verification, state model, topology, and operating domain. | Use Loop Engineering Taxonomy to understand the evidence, vocabulary, and lineage behind recurring agent systems. | Repository file; inspect the linked schema, example, guide, or implementation. | medium | README.md | 320 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L320 | Learn | learn | Understand the field and its boundaries. | trigger;intake;verification;state | newcomer;builder | cross-layer | direct | repository-native | A | local_ok | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/TAXONOMY.md | Loop Engineering Taxonomy | 2026 | GitHub | GitHub | repository | 2026-07-18T08:16:45 | |||||||||||||||
ale-0004 | Concept Guides | concept-guides | Critique | ⚠️ | Loop Engineering Anti-Patterns | ANTI-PATTERNS.md | local_path | 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. | Common failure modes such as prompt loops with no contract, infinite retries, model self-approval, hidden state, and unsafe autonomy. | Makes an otherwise informal practice concrete and reusable. Common failure modes such as prompt loops with no contract, infinite retries, model self-approval, hidden state, and unsafe autonomy. | Use Loop Engineering Anti-Patterns to understand the evidence, vocabulary, and lineage behind recurring agent systems. | Repository file; inspect the linked schema, example, guide, or implementation. | medium | README.md | 321 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L321 | Learn | learn | Understand the field and its boundaries. | state;budget;escalation | newcomer | cross-layer | direct | repository-native | A | local_ok | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/ANTI-PATTERNS.md | Loop Engineering Anti-Patterns | 2026 | GitHub | GitHub | repository | 2026-07-18T08:16:45 | |||||||||||||||
ale-0005 | Concept Guides | concept-guides | Template | 🧾 | Comparison Guide | COMPARISON.md | local_path | 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. | Distinguishes Loop Engineering from prompt engineering, context engineering, harness engineering, workflow automation, agent workflows, and evaluation loops. | Makes an otherwise informal practice concrete and reusable. Distinguishes Loop Engineering from prompt engineering, context engineering, harness engineering, workflow automation, agent workflows, and evaluation loops. | Use Comparison Guide to understand the evidence, vocabulary, and lineage behind recurring agent systems. | Repository file; inspect the linked schema, example, guide, or implementation. | medium | README.md | 322 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L322 | Learn | learn | Understand the field and its boundaries. | context;verification | newcomer;builder | cross-layer | direct | repository-native | A | local_ok | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/COMPARISON.md | Comparison Guide | 2026 | GitHub | GitHub | repository | 2026-07-18T08:16:45 | |||||||||||||||
ale-0006 | Concept Guides | concept-guides | Template | 🧾 | Sourced Signals And Quotes | QUOTES.md | local_path | Short sourced signals from linked public materials that anchor the emerging concept. | Short sourced signals from linked public materials that anchor the emerging concept. | Short sourced signals from linked public materials that anchor the emerging concept. | Makes an otherwise informal practice concrete and reusable. Short sourced signals from linked public materials that anchor the emerging concept. | Use Sourced Signals And Quotes to understand the evidence, vocabulary, and lineage behind recurring agent systems. | Repository file; inspect the linked schema, example, guide, or implementation. | medium | README.md | 323 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L323 | Learn | learn | Understand the field and its boundaries. | whole-loop | newcomer;builder | cross-layer | direct | repository-native | A | local_ok | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/QUOTES.md | Sourced Signals And Quotes | 2026 | GitHub | GitHub | repository | 2026-07-18T08:16:45 | |||||||||||||||
ale-0007 | Concept Guides | concept-guides | Template | 🧾 | Outreach Kit | meta/OUTREACH.md | local_path | Conservative messages for inviting corrections, sources, and real-world loop patterns. | Conservative messages for inviting corrections, sources, and real-world loop patterns. | Conservative messages for inviting corrections, sources, and real-world loop patterns. | Makes an otherwise informal practice concrete and reusable. Conservative messages for inviting corrections, sources, and real-world loop patterns. | Use Outreach Kit to understand the evidence, vocabulary, and lineage behind recurring agent systems. | Repository file; inspect the linked schema, example, guide, or implementation. | medium | README.md | 324 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L324 | Learn | learn | Understand the field and its boundaries. | whole-loop | newcomer;builder | cross-layer | direct | repository-native | A | local_ok | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/meta/OUTREACH.md | Outreach Kit | 2026 | GitHub | GitHub | repository | 2026-07-18T08:16:45 | |||||||||||||||
ale-0008 | Start Here | start-here | Blog | 📝 | Loop Engineering by Addy Osmani | 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; also on [Substack](https://addyo.substack.com/p/loop-engineering) with the original discussion trail and Steinberger and Cherny quotations. | Addy Osmani's framing of loop engineering as the layer above manually prompting coding agents, with concrete primitives across Codex and Claude Code; also on [Substack](https://addyo.substack.com/p/loop-engineering) with the original discussion trail and Steinberger and Cherny quotations. | Addy Osmani's framing of loop engineering as the layer above manually prompting coding agents, with concrete primitives across Codex and Claude Code; also on [Substack](https://addyo.substack.com/p/loop-engineering) with the original discussion trail and Steinberger and Cherny quotations. | Captures the early community framing of Loop Engineering as repeated agent delegation rather than prompt craft. Addy Osmani's framing of loop engineering as the layer above manually prompting coding agents, with concrete primitives across Codex and Claude Code; also on [Substack](https://addyo.substack.com/p/loop-engin... | Use Loop Engineering by Addy Osmani to understand the evidence, vocabulary, and lineage behind recurring agent systems. | Contextual source from addyosmani.com; useful for practice signals or boundary conditions, not independent validation. | contextual | README.md | 408 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L408 | Learn | learn | Understand the field and its boundaries. | whole-loop | newcomer | cross-layer | direct | practitioner-analysis | B | ok | https://addyosmani.com/blog/loop-engineering/ | AddyOsmani.com - Loop Engineering | You don't really need to be good at prompting anymore. The thing to get good at is the loop that does the prompting for you. It's five building blocks plus s... | Addy Osmani | addyosmani.com | html-meta | 2026-07-18T08:16:45 | ||||||||||||||
ale-0009 | 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. 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. | Use Peter Steinberger on designing loops to understand the evidence, vocabulary, and lineage behind recurring agent systems. | Contextual source from x.com; useful for practice signals or boundary conditions, not independent validation. | contextual | README.md | 409 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L409 | Learn | learn | Understand the field and its boundaries. | whole-loop | newcomer | cross-layer | direct | practitioner-analysis | B | ok | https://x.com/steipete/status/2063697162748260627 | Peter Steinberger 🦞 on X: "Here’s your monthly reminder that you shouldn’t be prompting coding agents anymore. You should be designing loops that prompt your agents." / X | Here’s your monthly reminder that you shouldn’t be prompting coding agents anymore. You should be designing loops that prompt your agents. | 2026-06-07 | 2026 | X (formerly Twitter) | html-meta | 2026-07-18T08:16:45 | |||||||||||||
ale-0010 | 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. 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. | Use Boris Cherny: five tips for running Opus autonomously for hours or days to understand the evidence, vocabulary, and lineage behind recurring agent systems. | Contextual source from x.com; useful for practice signals or boundary conditions, not independent validation. | contextual | README.md | 410 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L410 | Learn | learn | Understand the field and its boundaries. | objective;workspace;verification | newcomer | cross-layer | direct | practitioner-analysis | B | ok | https://x.com/bcherny/status/2063792263067754658 | Boris Cherny on X: "Seeing a number of benchmarks showing Opus is the best model for long-running work. Five tips for running Opus autonomously for hours/days: 1. Use auto mode for permissions, so Claude doesn’t ask for approval 2. Use dynamic workflows, to have Claude orchestrate" / X | Seeing a number of benchmarks showing Opus is the best model for long-running work. Five tips for running Opus autonomously for hours/days: 1. Use auto mode for permissions, so Claude doesn’t ask for approval 2. Use dynamic workflows, to have Claude orchestrate | 2026-06-08 | 2026 | X (formerly Twitter) | html-meta | 2026-07-18T08:16:45 | |||||||||||||
ale-0011 | Start Here | start-here | Blog | 📝 | Loop Engineering by Cobus Greyling | 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. Concise explanation of the shift from prompting agents to designing loops that discover work, delegate, verify, persist, and continue. | Use Loop Engineering by Cobus Greyling to understand the evidence, vocabulary, and lineage behind recurring agent systems. | Contextual source from cobusgreyling.substack.com; useful for practice signals or boundary conditions, not independent validation. | contextual | README.md | 411 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L411 | Learn | learn | Understand the field and its boundaries. | intake;delegation;verification;state | newcomer | cross-layer | direct | practitioner-analysis | B | ok | https://cobusgreyling.substack.com/p/loop-engineering | Loop Engineering | The core of Loop Engineering | Cobus Greyling | Substack | html-meta | 2026-07-18T08:16:45 | ||||||||||||||
ale-0012 | 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. Practical breakdown of loop building blocks - automations, worktrees, skills, connectors, subagents - plus external memory and verification through oracles such as tests and builds. | Use Stop Prompting. Design the Loop. to understand the evidence, vocabulary, and lineage behind recurring agent systems. | Contextual source from www.pulumi.com; useful for practice signals or boundary conditions, not independent validation. | contextual | README.md | 412 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L412 | Learn | learn | Understand the field and its boundaries. | workspace;context;delegation;verification;exit | newcomer | cross-layer | direct | practitioner-analysis | B | ok | https://www.pulumi.com/blog/stop-prompting-design-the-loop/ | Stop Prompting. Design the Loop. | Pulumi Blog | The unit of work moved from the prompt to the loop. The five pieces of loop engineering, the memory that makes it compound, and what it won't do for you. | Engin Diri | 2026-06-09 | 2026 | pulumi | html-meta | 2026-07-18T08:16:45 | ||||||||||||
ale-0013 | Start Here | start-here | Blog | 📝 | Writing Loops, Not Prompts, Explained | https://rico.codes/loops-not-prompts | external | rico.codes | Rico Kahler's break-even model for when a recurring task justifies building a loop instead of prompting, with stop conditions, evidence collection, and an execution-horizon framing for moving from execution-bound to judgment-bound work. | Rico Kahler's break-even model for when a recurring task justifies building a loop instead of prompting, with stop conditions, evidence collection, and an execution-horizon framing for moving from execution-bound to judgment-bound work. | Rico Kahler's break-even model for when a recurring task justifies building a loop instead of prompting, with stop conditions, evidence collection, and an execution-horizon framing for moving from execution-bound to judgment-bound work. | Captures the early community framing of Loop Engineering as repeated agent delegation rather than prompt craft. Rico Kahler's break-even model for when a recurring task justifies building a loop instead of prompting, with stop conditions, evidence collection, and an execution-horizon framing for moving from execution-b... | Use Writing Loops, Not Prompts, Explained to understand the evidence, vocabulary, and lineage behind recurring agent systems. | Contextual source from rico.codes; useful for practice signals or boundary conditions, not independent validation. | contextual | README.md | 413 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L413 | Learn | learn | Understand the field and its boundaries. | exit | newcomer | cross-layer | direct | practitioner-analysis | B | ok | https://rico.codes/loops-not-prompts | Writing Loops, Not Prompts, Explained | rico.codes | Loop engineering is not about abandoning prompts. It is about moving repeated steering work into verifiable systems so attention can stay on judgment, review, and taste. | rico.codes | html-meta | 2026-07-18T08:16:45 | |||||||||||||||
ale-0014 | Start Here | start-here | Blog | 📝 | Loop Engineering: A Guide for Engineers and Practitioners | https://medium.com/@adnanmasood/loop-engineering-a-guide-for-engineers-and-practitioners-893bb65ea943 | external | medium.com | Adnan Masood's practitioner guide that organizes loop design into triggers, topologies, verifiers, and termination rules, with coverage of failure modes, cost control, and observability for production agent loops. | Adnan Masood's practitioner guide that organizes loop design into triggers, topologies, verifiers, and termination rules, with coverage of failure modes, cost control, and observability for production agent loops. | Adnan Masood's practitioner guide that organizes loop design into triggers, topologies, verifiers, and termination rules, with coverage of failure modes, cost control, and observability for production agent loops. | The resource is directly reusable as a starting artifact. Adnan Masood's practitioner guide that organizes loop design into triggers, topologies, verifiers, and termination rules, with coverage of failure modes, cost control, and observability for production agent loops. | Use Loop Engineering: A Guide for Engineers and Practitioners to understand the evidence, vocabulary, and lineage behind recurring agent systems. | Contextual source from medium.com; useful for practice signals or boundary conditions, not independent validation. | contextual | README.md | 414 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L414 | Learn | learn | Understand the field and its boundaries. | trigger;budget;exit | newcomer | cross-layer | direct | practitioner-analysis | B | ok | https://medium.com/@adnanmasood/loop-engineering-a-guide-for-engineers-and-practitioners-893bb65ea943 | Medium Loop Engineering: A Guide for Engineers and Practitioners | by Adnan Masood, PhD. | Jun, 2026 | Medium | Loop engineering: designing the control system that prompts, verifies, and stops AI agents in production. A field guide for engineers. | Adnan Masood, PhD. | 2026-06-24 | 2026 | Medium | html-meta | 2026-07-18T08:16:45 | ||||||||||||
ale-0015 | Start Here | start-here | Blog | 📝 | Loop Engineering: When Generation Gets Cheap, Judgment Gets Expensive | https://sderosiaux.substack.com/p/loop-engineering-cheap-generation | external | sderosiaux.substack.com | Stephane Derosiaux's essay on the economics of the loop layer (generation becomes abundant while judgment becomes the bottleneck), proposing evaluator agents that must act rather than merely review, and cataloging failure modes such as unverified merges and quota depletion. | Stephane Derosiaux's essay on the economics of the loop layer (generation becomes abundant while judgment becomes the bottleneck), proposing evaluator agents that must act rather than merely review, and cataloging failure modes such as unverified merges and quota depletion. | Stephane Derosiaux's essay on the economics of the loop layer (generation becomes abundant while judgment becomes the bottleneck), proposing evaluator agents that must act rather than merely review, and cataloging failure modes such as unverified merges and quota depletion. | Captures the early community framing of Loop Engineering as repeated agent delegation rather than prompt craft. Stephane Derosiaux's essay on the economics of the loop layer (generation becomes abundant while judgment becomes the bottleneck), proposing evaluator agents that must act rather than merely review, and catal... | Use Loop Engineering: When Generation Gets Cheap, Judgment Gets Expensive to understand the evidence, vocabulary, and lineage behind recurring agent systems. | Contextual source from sderosiaux.substack.com; useful for practice signals or boundary conditions, not independent validation. | contextual | README.md | 415 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L415 | Learn | learn | Understand the field and its boundaries. | whole-loop | newcomer | cross-layer | direct | practitioner-analysis | B | ok | https://sderosiaux.substack.com/p/loop-engineering-cheap-generation | Loop Engineering: When Generation Gets Cheap, Judgment Gets Expensive | Agentic loops make code, plans, and PRs abundant. The scarce part is knowing what is right. | Stephane Derosiaux | Substack | html-meta | 2026-07-18T08:16:45 | ||||||||||||||
ale-0016 | Start Here | start-here | Blog | 📝 | Andrew Ng on Loop Engineering and the Three Loops of AI-Native Product Development | https://x.com/AndrewYNg/status/2071988145667928442 | external | x.com | Andrew Ng's letter laying out three product-development loops (agentic coding in minutes, developer feedback in hours, external feedback in days) and arguing that human-in-the-loop persists wherever the human knows something the AI does not. | Andrew Ng's letter laying out three product-development loops (agentic coding in minutes, developer feedback in hours, external feedback in days) and arguing that human-in-the-loop persists wherever the human knows something the AI does not. | Andrew Ng's letter laying out three product-development loops (agentic coding in minutes, developer feedback in hours, external feedback in days) and arguing that human-in-the-loop persists wherever the human knows something the AI does not. | State persistence is explicit enough for repeated runs and handoff. Andrew Ng's letter laying out three product-development loops (agentic coding in minutes, developer feedback in hours, external feedback in days) and arguing that human-in-the-loop persists wherever the human knows something the AI does not. | Use Andrew Ng on Loop Engineering and the Three Loops of AI-Native Product Development to understand the evidence, vocabulary, and lineage behind recurring agent systems. | Contextual source from x.com; useful for practice signals or boundary conditions, not independent validation. | contextual | README.md | 416 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L416 | Learn | learn | Understand the field and its boundaries. | state;escalation | newcomer | cross-layer | direct | practitioner-analysis | B | ok | https://x.com/AndrewYNg/status/2071988145667928442 | Andrew Ng on X: "“Loop engineering” is a hot buzzphrase after mentions of it by Boris Cherny (Claude Code’s creator) and Peter Steinberger (OpenClaw's creator) went viral on social media. Loops are now a key part of how we get AI agents to iterate at length to build software. In this letter, I’d https://t.co/bhuRw8lrFC... | “Loop engineering” is a hot buzzphrase after mentions of it by Boris Cherny (Claude Code’s creator) and Peter Steinberger (OpenClaw's creator) went viral on social media. Loops are now a key part of how we get AI agents to iterate at length to build software. In this letter, I’d | 2026-06-30 | 2026 | X (formerly Twitter) | html-meta | 2026-07-18T08:16:45 | |||||||||||||
ale-0017 | Start Here | start-here | Blog | 📝 | From Prompting Agents to Loop Engineering | https://x.com/omarsar0/status/2068008743153832264 | external | x.com | DAIR.AI founder Elvis Saravia's X article examining the claim that you should stop prompting coding agents and start designing loops that prompt them for you. | DAIR.AI founder Elvis Saravia's X article examining the claim that you should stop prompting coding agents and start designing loops that prompt them for you. | DAIR.AI founder Elvis Saravia's X article examining the claim that you should stop prompting coding agents and start designing loops that prompt them for you. | Captures the early community framing of Loop Engineering as repeated agent delegation rather than prompt craft. DAIR.AI founder Elvis Saravia's X article examining the claim that you should stop prompting coding agents and start designing loops that prompt them for you. | Use From Prompting Agents to Loop Engineering to understand the evidence, vocabulary, and lineage behind recurring agent systems. | Contextual source from x.com; useful for practice signals or boundary conditions, not independent validation. | contextual | README.md | 417 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L417 | Learn | learn | Understand the field and its boundaries. | exit | newcomer | cross-layer | direct | practitioner-analysis | B | ok | https://x.com/omarsar0/status/2068008743153832264 | elvis on X: "https://t.co/d8LgEwfVH6" / X | https://t.co/d8LgEwfVH6 | 2026-06-19 | 2026 | X (formerly Twitter) | html-meta | 2026-07-18T08:16:45 | |||||||||||||
ale-0018 | 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. Broad coverage of the Boris Cherny and Peter Steinberger discussion, including the distinction between cold-start scripts and persistent agent loops. | Use My Lord! AI Programming Undergoes Another Major Shift to understand the evidence, vocabulary, and lineage behind recurring agent systems. | Contextual source from eu.36kr.com; useful for practice signals or boundary conditions, not independent validation. | contextual | README.md | 418 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L418 | Learn | learn | Understand the field and its boundaries. | state | newcomer | cross-layer | direct | practitioner-analysis | B | ok | https://eu.36kr.com/en/p/3844224911346184 | My Lord! AI Programming Undergoes Another Major Shift: Claude Code Father & Lobster Founder Endorse New Paradigm - Could It Kill Prompt Engineering? | Stop writing prompts for programming agents now. | eu.36kr.com | domain-fallback | 2026-07-18T08:16:45 | |||||||||||||||
ale-0019 | 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. The New Stack's report on Boris Cherny's shift from prompting to loop writing and what it changes about developer workflow. | Use The Anthropic leader who built Claude Code ditched prompting - now he writes loops to understand the evidence, vocabulary, and lineage behind recurring agent systems. | Contextual source from thenewstack.io; useful for practice signals or boundary conditions, not independent validation. | contextual | README.md | 419 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L419 | Learn | learn | Understand the field and its boundaries. | whole-loop | newcomer | cross-layer | direct | practitioner-analysis | B | ok | https://thenewstack.io/loop-engineering/ | The Anthropic leader who built Claude Code says he ditched prompting — now he just writes loops. - The New Stack | Loop engineering — the practice of designing automated agent workflows instead of prompting manually — is reshaping how developers use Claude Code and OpenAI Codex in 2026. | Janakiram MSV | 2026-06-10 | 2026 | The New Stack | html-meta | 2026-07-18T08:16:45 | ||||||||||||
ale-0020 | Start Here | start-here | Blog | 📝 | Engineering for Agents That Never Sleep | https://nader.substack.com/p/engineering-for-agents-that-never | external | nader.substack.com | Cognition's Nader Dabit predicts the human-initiated share of Devin sessions will invert from 70/30 to 10/90 within a year as signals like alerts and failing tests trigger agents directly, recasting the engineer's job as designing triggers, constraints, and quality gates. | Cognition's Nader Dabit predicts the human-initiated share of Devin sessions will invert from 70/30 to 10/90 within a year as signals like alerts and failing tests trigger agents directly, recasting the engineer's job as designing triggers, constraints, and quality gates. | Cognition's Nader Dabit predicts the human-initiated share of Devin sessions will invert from 70/30 to 10/90 within a year as signals like alerts and failing tests trigger agents directly, recasting the engineer's job as designing triggers, constraints, and quality gates. | Captures the early community framing of Loop Engineering as repeated agent delegation rather than prompt craft. Cognition's Nader Dabit predicts the human-initiated share of Devin sessions will invert from 70/30 to 10/90 within a year as signals like alerts and failing tests trigger agents directly, recasting the engin... | Use Engineering for Agents That Never Sleep to understand the evidence, vocabulary, and lineage behind recurring agent systems. | Contextual source from nader.substack.com; useful for practice signals or boundary conditions, not independent validation. | contextual | README.md | 420 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L420 | Learn | learn | Understand the field and its boundaries. | trigger;verification;escalation | newcomer | cross-layer | direct | practitioner-analysis | B | ok | https://nader.substack.com/p/engineering-for-agents-that-never | Engineering for Agents That Never Sleep - by Nader Dabit | Originally posted on X. | Nader Dabit | Substack | html-meta | 2026-07-18T08:16:45 | ||||||||||||||
ale-0021 | Start Here | start-here | Blog | 📝 | Loop Engineering Orange Book | https://github.com/alchaincyf/loop-engineering-orange-book | external | github.com | Plain-language bilingual (Chinese and English) field guide to loop engineering by HuaShu, framing the discipline as one floor above harness engineering: the outer system that decides when and why agents run. | Plain-language bilingual (Chinese and English) field guide to loop engineering by HuaShu, framing the discipline as one floor above harness engineering: the outer system that decides when and why agents run. | Plain-language bilingual (Chinese and English) field guide to loop engineering by HuaShu, framing the discipline as one floor above harness engineering: the outer system that decides when and why agents run. | The resource is directly reusable as a starting artifact. Plain-language bilingual (Chinese and English) field guide to loop engineering by HuaShu, framing the discipline as one floor above harness engineering: the outer system that decides when and why agents run. | Use Loop Engineering Orange Book to understand the evidence, vocabulary, and lineage behind recurring agent systems. | Inspectable GitHub source (1,025 stars; 99 forks; NOASSERTION license; updated 2026-07-18); popularity is context, not proof of reliability. | medium | README.md | 421 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L421 | Learn | learn | Understand the field and its boundaries. | whole-loop | newcomer | cross-layer | direct | practitioner-analysis | B | ok | https://github.com/alchaincyf/loop-engineering-orange-book | GitHub - alchaincyf/loop-engineering-orange-book: 别再问我什么是 Loop Engineering — 橙皮书系列。A plain-language guide to loop engineering (中文 + English PDF). Free. · GitHub | 别再问我什么是 Loop Engineering — 橙皮书系列。A plain-language guide to loop engineering (中文 + English PDF). Free. - alchaincyf/loop-engineering-orange-book | 2026-06-15 | 2026 | alchaincyf/loop-engineering-orange-book | GitHub | github-api | alchaincyf/loop-engineering-orange-book | 1025 | 99 | NOASSERTION | 2026-06-15T05:27:07Z | 2026-07-18T07:01:35Z | 2026-07-18T08:16:45 | ||||||
ale-0022 | Start Here | start-here | Blog | 📝 | How I AI: How to Write AI Agent Loops in Claude Code and Codex | https://www.lennysnewsletter.com/p/how-i-ai-how-to-write-ai-agent-loops | external | www.lennysnewsletter.com | Mozilla distinguished engineer Brian Grinstead demonstrates goal-based and scheduled loops, including a daily PR-review loop with per-PR subagents, on Lenny's Newsletter. | Mozilla distinguished engineer Brian Grinstead demonstrates goal-based and scheduled loops, including a daily PR-review loop with per-PR subagents, on Lenny's Newsletter. | Mozilla distinguished engineer Brian Grinstead demonstrates goal-based and scheduled loops, including a daily PR-review loop with per-PR subagents, on Lenny's Newsletter. | The trigger or cadence is explicit, making the workflow recurring rather than one-off. Mozilla distinguished engineer Brian Grinstead demonstrates goal-based and scheduled loops, including a daily PR-review loop with per-PR subagents, on Lenny's Newsletter. | Use How I AI: How to Write AI Agent Loops in Claude Code and Codex to understand the evidence, vocabulary, and lineage behind recurring agent systems. | Contextual source from www.lennysnewsletter.com; useful for practice signals or boundary conditions, not independent validation. | contextual | README.md | 422 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L422 | Learn | learn | Understand the field and its boundaries. | objective;trigger;delegation | newcomer | cross-layer | direct | practitioner-analysis | B | ok | https://www.lennysnewsletter.com/p/how-i-ai-how-to-write-ai-agent-loops | 🎙️ How I AI: How to write AI agent loops in Claude Code and Codex + How Claude Mythos found a 15-year-old bug in Mozilla Firefox | Brian Grinstead | Your weekly listens from How I AI, part of the Lenny’s Podcast Network | Lenny Rachitsky | lennysnewsletter.com | html-meta | 2026-07-18T08:16:45 | ||||||||||||||
ale-0023 | Start Here | start-here | Paper | 📄 | Proof-or-Stop: Don't Trust the Agent, Trust the Evidence -- Loop Engineering for Verifiable Evidence-Gated Lifecycle Control | https://arxiv.org/abs/2607.14890 | external | arxiv.org | Defines evidence-gated lifecycle control for agent loops and reports zero false-DONE outcomes across 10 scenarios and zero accepts across 18 tampering classes; its 9,240-cell ablation identifies which gates prevent error amplification, while noting the evaluation covers one model family and 24 tasks. | Defines evidence-gated lifecycle control for agent loops and reports zero false-DONE outcomes across 10 scenarios and zero accepts across 18 tampering classes; its 9,240-cell ablation identifies which gates prevent error amplification, while noting the evaluation covers one model family and 24 tasks. | Defines evidence-gated lifecycle control for agent loops and reports zero false-DONE outcomes across 10 scenarios and zero accepts across 18 tampering classes; its 9,240-cell ablation identifies which gates prevent error amplification, while noting the evaluation covers one model family and 24 tasks. | Evaluation data is used as the feedback signal for improving loop behavior. Defines evidence-gated lifecycle control for agent loops and reports zero false-DONE outcomes across 10 scenarios and zero accepts across 18 tampering classes; its 9,240-cell ablation identifies which gates prevent error amplification, while no... | Use Proof-or-Stop: Don't Trust the Agent, Trust the Evidence -- Loop Engineering for Verifiable Evidence-Gated Lifecycle Control to understand the evidence, vocabulary, and lineage behind recurring agent systems. | Research source arXiv:2607.14890; inspect its method and evaluation before treating results as production evidence. | medium | README.md | 423 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L423 | 2026-07-17 | Learn | learn | Understand the field and its boundaries. | verification;exit | newcomer;researcher;evaluator | cross-layer | direct | research-preprint | A | ok | https://arxiv.org/abs/2607.14890 | [2607.14890] Proof-or-Stop: Don't Trust the Agent, Trust the Evidence -- Loop Engineering for Verifiable Evidence-Gated Lifecycle Control | Autonomous coding agents increasingly execute multi-step software work, but lifecycle states such as reviewed, tested, DONE, and ready-to-merge remain claims unless supported by current evidence. We present Proof-or-Stop Lifecycle Control, a method that permits lifecycle transitions only when fresh, tracked-source-stat... | Jek Huang; Jeffery Hsia; Jiayi Sun; Freddie Shi; Wei Huang; Ian H. White | 2026-07-16 | 2026 | arXiv | arXiv | 48 pages, 10 figures, 29 numbered tables. Preprint v1 | cs.AI | arxiv-api | 2607.14890 | 2026-07-18T08:16:45 | |||||||
ale-0024 | Pattern Library | pattern-library | Pattern | 🔁 | PR babysitter | patterns/pr-babysitter.md | local_path | Repeatedly checks review comments, CI, merge conflicts, stale threads, and readiness to merge. | Repeatedly checks review comments, CI, merge conflicts, stale threads, and readiness to merge. | Repeatedly checks review comments, CI, merge conflicts, stale threads, and readiness to merge. | Turns common recurring-agent jobs into named patterns with gates, budgets, and escalation paths. Repeatedly checks review comments, CI, merge conflicts, stale threads, and readiness to merge. | Use PR babysitter to turn a recurring-agent idea into an explicit loop contract. | Repository file; inspect the linked schema, example, guide, or implementation. | medium | README.md | 551 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L551 | Design | design | Specify a loop contract and operating pattern. | whole-loop | builder | workflow | direct | repository-native | A | local_ok | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/patterns/pr-babysitter.md | PR babysitter | 2026 | GitHub | GitHub | repository | 2026-07-18T08:16:45 | |||||||||||||||
ale-0025 | Pattern Library | pattern-library | Pattern | 🔁 | CI repair loop | patterns/ci-repair-loop.md | local_path | Reproduces failing checks, patches narrowly, reruns evidence, and escalates when failures are outside scope. | Reproduces failing checks, patches narrowly, reruns evidence, and escalates when failures are outside scope. | Reproduces failing checks, patches narrowly, reruns evidence, and escalates when failures are outside scope. | Turns common recurring-agent jobs into named patterns with gates, budgets, and escalation paths. Reproduces failing checks, patches narrowly, reruns evidence, and escalates when failures are outside scope. | Use CI repair loop to turn a recurring-agent idea into an explicit loop contract. | Repository file; inspect the linked schema, example, guide, or implementation. | medium | README.md | 552 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L552 | Design | design | Specify a loop contract and operating pattern. | escalation | builder | workflow | direct | repository-native | A | local_ok | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/patterns/ci-repair-loop.md | CI repair loop | 2026 | GitHub | GitHub | repository | 2026-07-18T08:16:45 | |||||||||||||||
ale-0026 | Pattern Library | pattern-library | Pattern | 🔁 | Docs drift collector | patterns/docs-drift-collector.md | local_path | Finds mismatches between docs and code, proposes small patches, and verifies examples. | Finds mismatches between docs and code, proposes small patches, and verifies examples. | Finds mismatches between docs and code, proposes small patches, and verifies examples. | Turns common recurring-agent jobs into named patterns with gates, budgets, and escalation paths. Finds mismatches between docs and code, proposes small patches, and verifies examples. | Use Docs drift collector to turn a recurring-agent idea into an explicit loop contract. | Repository file; inspect the linked schema, example, guide, or implementation. | medium | README.md | 553 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L553 | Design | design | Specify a loop contract and operating pattern. | verification | builder | workflow | direct | repository-native | A | local_ok | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/patterns/docs-drift-collector.md | Docs drift collector | 2026 | GitHub | GitHub | repository | 2026-07-18T08:16:45 | |||||||||||||||
ale-0027 | Pattern Library | pattern-library | Pattern | 🔁 | Deploy verifier | patterns/deploy-verifier.md | local_path | Watches rollout signals, compares them with release expectations, and stops on anomalies. | Watches rollout signals, compares them with release expectations, and stops on anomalies. | Watches rollout signals, compares them with release expectations, and stops on anomalies. | Verification is promoted from a final check to a loop-control signal. Watches rollout signals, compares them with release expectations, and stops on anomalies. | Use Deploy verifier to turn a recurring-agent idea into an explicit loop contract. | Repository file; inspect the linked schema, example, guide, or implementation. | medium | README.md | 554 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L554 | Design | design | Specify a loop contract and operating pattern. | exit | builder | workflow | direct | repository-native | A | local_ok | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/patterns/deploy-verifier.md | Deploy verifier | 2026 | GitHub | GitHub | repository | 2026-07-18T08:16:45 | |||||||||||||||
ale-0028 | Pattern Library | pattern-library | Pattern | 🔁 | Feedback clusterer | patterns/feedback-clusterer.md | local_path | Periodically groups GitHub, Linear, Slack, support, or social feedback into actionable themes. | Periodically groups GitHub, Linear, Slack, support, or social feedback into actionable themes. | Periodically groups GitHub, Linear, Slack, support, or social feedback into actionable themes. | Turns common recurring-agent jobs into named patterns with gates, budgets, and escalation paths. Periodically groups GitHub, Linear, Slack, support, or social feedback into actionable themes. | Use Feedback clusterer to turn a recurring-agent idea into an explicit loop contract. | Repository file; inspect the linked schema, example, guide, or implementation. | medium | README.md | 555 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L555 | Design | design | Specify a loop contract and operating pattern. | whole-loop | builder | workflow | direct | repository-native | A | local_ok | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/patterns/feedback-clusterer.md | Feedback clusterer | 2026 | GitHub | GitHub | repository | 2026-07-18T08:16:45 | |||||||||||||||
ale-0029 | Pattern Library | pattern-library | Pattern | 🔁 | Dependency triage loop | patterns/dependency-triage-loop.md | local_path | Classifies dependency updates, applies safe groups, verifies them, and escalates risky upgrades. | Classifies dependency updates, applies safe groups, verifies them, and escalates risky upgrades. | Classifies dependency updates, applies safe groups, verifies them, and escalates risky upgrades. | Turns common recurring-agent jobs into named patterns with gates, budgets, and escalation paths. Classifies dependency updates, applies safe groups, verifies them, and escalates risky upgrades. | Use Dependency triage loop to turn a recurring-agent idea into an explicit loop contract. | Repository file; inspect the linked schema, example, guide, or implementation. | medium | README.md | 556 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L556 | Design | design | Specify a loop contract and operating pattern. | intake;verification;escalation | builder | workflow | direct | repository-native | A | local_ok | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/patterns/dependency-triage-loop.md | Dependency triage loop | 2026 | GitHub | GitHub | repository | 2026-07-18T08:16:45 | |||||||||||||||
ale-0030 | Pattern Library | pattern-library | Pattern | 🔁 | Evaluation regression loop | patterns/evaluation-regression-loop.md | local_path | Investigates degraded agent evals with baseline traces, targeted reruns, and repair proposals. | Investigates degraded agent evals with baseline traces, targeted reruns, and repair proposals. | Investigates degraded agent evals with baseline traces, targeted reruns, and repair proposals. | Evaluation data is used as the feedback signal for improving loop behavior. Investigates degraded agent evals with baseline traces, targeted reruns, and repair proposals. | Use Evaluation regression loop to turn a recurring-agent idea into an explicit loop contract. | Repository file; inspect the linked schema, example, guide, or implementation. | medium | README.md | 557 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L557 | Design | design | Specify a loop contract and operating pattern. | verification | builder | workflow | direct | repository-native | A | local_ok | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/patterns/evaluation-regression-loop.md | Evaluation regression loop | 2026 | GitHub | GitHub | repository | 2026-07-18T08:16:45 | |||||||||||||||
ale-0031 | Pattern Library | pattern-library | Pattern | 🔁 | Benchmark optimization loop | patterns/benchmark-optimization-loop.md | local_path | Runs bounded experiments against a frozen benchmark and accepts only reproducible gains with correctness intact. | Runs bounded experiments against a frozen benchmark and accepts only reproducible gains with correctness intact. | Runs bounded experiments against a frozen benchmark and accepts only reproducible gains with correctness intact. | The work turns loop quality into a measurable task or score. Runs bounded experiments against a frozen benchmark and accepts only reproducible gains with correctness intact. | Use Benchmark optimization loop to turn a recurring-agent idea into an explicit loop contract. | Repository file; inspect the linked schema, example, guide, or implementation. | medium | README.md | 558 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L558 | Design | design | Specify a loop contract and operating pattern. | verification | builder | workflow | direct | repository-native | A | local_ok | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/patterns/benchmark-optimization-loop.md | Benchmark optimization loop | 2026 | GitHub | GitHub | repository | 2026-07-18T08:16:45 | |||||||||||||||
ale-0032 | Pattern Library | pattern-library | Pattern | 🔁 | Security review loop | patterns/security-review-loop.md | local_path | Reviews sensitive diffs with evidence-backed findings, safe permissions, and human approval boundaries. | Reviews sensitive diffs with evidence-backed findings, safe permissions, and human approval boundaries. | Reviews sensitive diffs with evidence-backed findings, safe permissions, and human approval boundaries. | Turns common recurring-agent jobs into named patterns with gates, budgets, and escalation paths. Reviews sensitive diffs with evidence-backed findings, safe permissions, and human approval boundaries. | Use Security review loop to turn a recurring-agent idea into an explicit loop contract. | Repository file; inspect the linked schema, example, guide, or implementation. | medium | README.md | 559 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L559 | Design | design | Specify a loop contract and operating pattern. | workspace;escalation | builder | workflow | direct | repository-native | A | local_ok | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/patterns/security-review-loop.md | Security review loop | 2026 | GitHub | GitHub | repository | 2026-07-18T08:16:45 | |||||||||||||||
ale-0033 | Pattern Library | pattern-library | Pattern | 🔁 | Adversarial red-team loop | patterns/adversarial-red-team-loop.md | local_path | Discovers agent failures inside an authorized sandbox, then independently reproduces, minimizes, and reports them. | Discovers agent failures inside an authorized sandbox, then independently reproduces, minimizes, and reports them. | Discovers agent failures inside an authorized sandbox, then independently reproduces, minimizes, and reports them. | Execution isolation and permission boundaries are part of the design. Discovers agent failures inside an authorized sandbox, then independently reproduces, minimizes, and reports them. | Use Adversarial red-team loop to turn a recurring-agent idea into an explicit loop contract. | Repository file; inspect the linked schema, example, guide, or implementation. | medium | README.md | 560 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L560 | Design | design | Specify a loop contract and operating pattern. | intake;workspace | builder | workflow | direct | repository-native | A | local_ok | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/patterns/adversarial-red-team-loop.md | Adversarial red-team loop | 2026 | GitHub | GitHub | repository | 2026-07-18T08:16:45 | |||||||||||||||
ale-0034 | Pattern Library | pattern-library | Pattern | 🔁 | Accessibility regression loop | patterns/accessibility-regression-loop.md | local_path | Repairs reproducible accessibility regressions while preserving required human review for non-automatable criteria. | Repairs reproducible accessibility regressions while preserving required human review for non-automatable criteria. | Repairs reproducible accessibility regressions while preserving required human review for non-automatable criteria. | Turns common recurring-agent jobs into named patterns with gates, budgets, and escalation paths. Repairs reproducible accessibility regressions while preserving required human review for non-automatable criteria. | Use Accessibility regression loop to turn a recurring-agent idea into an explicit loop contract. | Repository file; inspect the linked schema, example, guide, or implementation. | medium | README.md | 561 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L561 | Design | design | Specify a loop contract and operating pattern. | escalation | builder | workflow | direct | repository-native | A | local_ok | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/patterns/accessibility-regression-loop.md | Accessibility regression loop | 2026 | GitHub | GitHub | repository | 2026-07-18T08:16:45 | |||||||||||||||
ale-0035 | Pattern Library | pattern-library | Pattern | 🔁 | Cost-control loop | patterns/cost-control-loop.md | local_path | Monitors agent workflow spend, identifies waste, proposes scoped savings, and preserves quality gates. | Monitors agent workflow spend, identifies waste, proposes scoped savings, and preserves quality gates. | Monitors agent workflow spend, identifies waste, proposes scoped savings, and preserves quality gates. | Turns common recurring-agent jobs into named patterns with gates, budgets, and escalation paths. Monitors agent workflow spend, identifies waste, proposes scoped savings, and preserves quality gates. | Use Cost-control loop to turn a recurring-agent idea into an explicit loop contract. | Repository file; inspect the linked schema, example, guide, or implementation. | medium | README.md | 562 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L562 | Design | design | Specify a loop contract and operating pattern. | budget | builder | workflow | direct | repository-native | A | local_ok | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/patterns/cost-control-loop.md | Cost-control loop | 2026 | GitHub | GitHub | repository | 2026-07-18T08:16:45 | |||||||||||||||
ale-0036 | Pattern Library | pattern-library | Pattern | 🔁 | Performance regression loop | patterns/performance-regression-loop.md | local_path | Profiles a measured regression and verifies a narrow fix against the same controlled workload and correctness gates. | Profiles a measured regression and verifies a narrow fix against the same controlled workload and correctness gates. | Profiles a measured regression and verifies a narrow fix against the same controlled workload and correctness gates. | Turns common recurring-agent jobs into named patterns with gates, budgets, and escalation paths. Profiles a measured regression and verifies a narrow fix against the same controlled workload and correctness gates. | Use Performance regression loop to turn a recurring-agent idea into an explicit loop contract. | Repository file; inspect the linked schema, example, guide, or implementation. | medium | README.md | 563 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L563 | Design | design | Specify a loop contract and operating pattern. | verification | builder | workflow | direct | repository-native | A | local_ok | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/patterns/performance-regression-loop.md | Performance regression loop | 2026 | GitHub | GitHub | repository | 2026-07-18T08:16:45 | |||||||||||||||
ale-0037 | Pattern Library | pattern-library | Pattern | 🔁 | Bug hunting loop | patterns/bug-hunting-loop.md | local_path | Discovers, reproduces, minimizes, and reports bugs with concrete evidence. | Discovers, reproduces, minimizes, and reports bugs with concrete evidence. | Discovers, reproduces, minimizes, and reports bugs with concrete evidence. | Turns common recurring-agent jobs into named patterns with gates, budgets, and escalation paths. Discovers, reproduces, minimizes, and reports bugs with concrete evidence. | Use Bug hunting loop to turn a recurring-agent idea into an explicit loop contract. | Repository file; inspect the linked schema, example, guide, or implementation. | medium | README.md | 564 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L564 | Design | design | Specify a loop contract and operating pattern. | intake | builder | workflow | direct | repository-native | A | local_ok | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/patterns/bug-hunting-loop.md | Bug hunting loop | 2026 | GitHub | GitHub | repository | 2026-07-18T08:16:45 | |||||||||||||||
ale-0038 | Pattern Library | pattern-library | Pattern | 🔁 | Enterprise approval loop | patterns/enterprise-approval-loop.md | local_path | Drives a permissioned change through required gates and approvers with a full audit trail. | Drives a permissioned change through required gates and approvers with a full audit trail. | Drives a permissioned change through required gates and approvers with a full audit trail. | Turns common recurring-agent jobs into named patterns with gates, budgets, and escalation paths. Drives a permissioned change through required gates and approvers with a full audit trail. | Use Enterprise approval loop to turn a recurring-agent idea into an explicit loop contract. | Repository file; inspect the linked schema, example, guide, or implementation. | medium | README.md | 565 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L565 | Design | design | Specify a loop contract and operating pattern. | escalation | builder | workflow | direct | repository-native | A | local_ok | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/patterns/enterprise-approval-loop.md | Enterprise approval loop | 2026 | GitHub | GitHub | repository | 2026-07-18T08:16:45 | |||||||||||||||
ale-0039 | Pattern Library | pattern-library | Pattern | 🔁 | Incident response loop | patterns/incident-response-loop.md | local_path | Triages an alert into an owned, evidence-backed incident with a postmortem seed. | Triages an alert into an owned, evidence-backed incident with a postmortem seed. | Triages an alert into an owned, evidence-backed incident with a postmortem seed. | Turns common recurring-agent jobs into named patterns with gates, budgets, and escalation paths. Triages an alert into an owned, evidence-backed incident with a postmortem seed. | Use Incident response loop to turn a recurring-agent idea into an explicit loop contract. | Repository file; inspect the linked schema, example, guide, or implementation. | medium | README.md | 566 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L566 | Design | design | Specify a loop contract and operating pattern. | whole-loop | builder | workflow | direct | repository-native | A | local_ok | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/patterns/incident-response-loop.md | Incident response loop | 2026 | GitHub | GitHub | repository | 2026-07-18T08:16:45 | |||||||||||||||
ale-0040 | Pattern Library | pattern-library | Pattern | 🔁 | Data-quality loop | patterns/data-quality-loop.md | local_path | Validates each dataset refresh against quality rules and quarantines bad versions. | Validates each dataset refresh against quality rules and quarantines bad versions. | Validates each dataset refresh against quality rules and quarantines bad versions. | Packages the evidence as queryable CSV and JSONL rather than only a rendered page. Validates each dataset refresh against quality rules and quarantines bad versions. | Use Data-quality loop to turn a recurring-agent idea into an explicit loop contract. | Repository file; inspect the linked schema, example, guide, or implementation. | medium | README.md | 567 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L567 | Design | design | Specify a loop contract and operating pattern. | whole-loop | builder | workflow | direct | repository-native | A | local_ok | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/patterns/data-quality-loop.md | Data-quality loop | 2026 | GitHub | GitHub | repository | 2026-07-18T08:16:45 | |||||||||||||||
ale-0041 | Pattern Library | pattern-library | Pattern | 🔁 | Knowledge freshness loop | patterns/knowledge-freshness-loop.md | local_path | Rebuilds a versioned retrieval corpus and promotes it only after provenance, freshness, quality, and leakage gates pass. | Rebuilds a versioned retrieval corpus and promotes it only after provenance, freshness, quality, and leakage gates pass. | Rebuilds a versioned retrieval corpus and promotes it only after provenance, freshness, quality, and leakage gates pass. | Turns common recurring-agent jobs into named patterns with gates, budgets, and escalation paths. Rebuilds a versioned retrieval corpus and promotes it only after provenance, freshness, quality, and leakage gates pass. | Use Knowledge freshness loop to turn a recurring-agent idea into an explicit loop contract. | Repository file; inspect the linked schema, example, guide, or implementation. | medium | README.md | 568 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L568 | Design | design | Specify a loop contract and operating pattern. | context | builder | workflow | direct | repository-native | A | local_ok | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/patterns/knowledge-freshness-loop.md | Knowledge freshness loop | 2026 | GitHub | GitHub | repository | 2026-07-18T08:16:45 | |||||||||||||||
ale-0042 | Pattern Library | pattern-library | Pattern | 🔁 | Release-note loop | patterns/release-note-loop.md | local_path | Drafts release notes from merged commits, issues, and PRs with linked evidence. | Drafts release notes from merged commits, issues, and PRs with linked evidence. | Drafts release notes from merged commits, issues, and PRs with linked evidence. | Turns common recurring-agent jobs into named patterns with gates, budgets, and escalation paths. Drafts release notes from merged commits, issues, and PRs with linked evidence. | Use Release-note loop to turn a recurring-agent idea into an explicit loop contract. | Repository file; inspect the linked schema, example, guide, or implementation. | medium | README.md | 569 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L569 | Design | design | Specify a loop contract and operating pattern. | intake | builder | workflow | direct | repository-native | A | local_ok | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/patterns/release-note-loop.md | Release-note loop | 2026 | GitHub | GitHub | repository | 2026-07-18T08:16:45 | |||||||||||||||
ale-0043 | Pattern Library | pattern-library | Pattern | 🔁 | Model-routing loop | patterns/model-routing-loop.md | local_path | Routes tasks across models on measured quality, latency, privacy, and cost. | Routes tasks across models on measured quality, latency, privacy, and cost. | Routes tasks across models on measured quality, latency, privacy, and cost. | Turns common recurring-agent jobs into named patterns with gates, budgets, and escalation paths. Routes tasks across models on measured quality, latency, privacy, and cost. | Use Model-routing loop to turn a recurring-agent idea into an explicit loop contract. | Repository file; inspect the linked schema, example, guide, or implementation. | medium | README.md | 570 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L570 | Design | design | Specify a loop contract and operating pattern. | budget | builder | workflow | direct | repository-native | A | local_ok | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/patterns/model-routing-loop.md | Model-routing loop | 2026 | GitHub | GitHub | repository | 2026-07-18T08:16:45 | |||||||||||||||
ale-0044 | Core Loop Primitives | core-loop-primitives | Docs | 📚 | Scheduled tasks - ChatGPT Learn | https://learn.chatgpt.com/docs/automations?surface=app | external | learn.chatgpt.com | Official guidance for recurring background tasks, triage inboxes, skills, and isolated workspaces. | Official guidance for recurring background tasks, triage inboxes, skills, and isolated workspaces. | Official guidance for recurring background tasks, triage inboxes, skills, and isolated workspaces. | Primary-source operational guidance rather than commentary. Official guidance for recurring background tasks, triage inboxes, skills, and isolated workspaces. | Use Scheduled tasks - ChatGPT Learn to turn a recurring-agent idea into an explicit loop contract. | Primary official documentation from learn.chatgpt.com; use it for current product or standard behavior. | high | README.md | 578 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L578 | Design | design | Specify a loop contract and operating pattern. | trigger;intake;workspace | builder | workflow | direct | official-documentation | A | ok | https://learn.chatgpt.com/docs/automations?surface=app | Scheduled tasks | ChatGPT Learn | Schedule recurring tasks in ChatGPT | ChatGPT Learn | html-meta | 2026-07-18T08:16:45 | |||||||||||||||
ale-0045 | Core Loop Primitives | core-loop-primitives | Docs | 📚 | Follow a goal - ChatGPT Learn | https://learn.chatgpt.com/use-cases/follow-goals | external | learn.chatgpt.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. Official guidance for durable objectives with stopping conditions, validation commands, checkpoints, and progress logs. | Use Follow a goal - ChatGPT Learn to turn a recurring-agent idea into an explicit loop contract. | Primary official documentation from learn.chatgpt.com; use it for current product or standard behavior. | high | README.md | 579 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L579 | Design | design | Specify a loop contract and operating pattern. | objective;state;exit | builder | workflow | direct | official-documentation | A | ok | https://learn.chatgpt.com/use-cases/follow-goals | Follow a goal | ChatGPT use cases | Use `/goal` when a task needs Codex to keep working across turns toward a verifiable stopping condition. | ChatGPT Learn | html-meta | 2026-07-18T08:16:45 | |||||||||||||||
ale-0046 | Core Loop Primitives | core-loop-primitives | Docs | 📚 | Git worktrees - ChatGPT Learn | https://learn.chatgpt.com/docs/environments/git-worktrees | external | learn.chatgpt.com | Official worktree model for isolated parallel tasks and handoffs between local and background workspaces. | Official worktree model for isolated parallel tasks and handoffs between local and background workspaces. | Official worktree model for isolated parallel tasks and handoffs between local and background workspaces. | Primary-source operational guidance rather than commentary. Official worktree model for isolated parallel tasks and handoffs between local and background workspaces. | Use Git worktrees - ChatGPT Learn to turn a recurring-agent idea into an explicit loop contract. | Primary official documentation from learn.chatgpt.com; use it for current product or standard behavior. | high | README.md | 580 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L580 | Design | design | Specify a loop contract and operating pattern. | workspace;delegation | builder | workflow | direct | official-documentation | A | ok | https://learn.chatgpt.com/docs/environments/git-worktrees | Worktrees | ChatGPT Learn | Use Git worktrees in Codex in the ChatGPT desktop app to run chats in parallel | ChatGPT Learn | html-meta | 2026-07-18T08:16:45 | |||||||||||||||
ale-0047 | Core Loop Primitives | core-loop-primitives | Docs | 📚 | Prompting - ChatGPT Learn | https://learn.chatgpt.com/docs/prompting | external | learn.chatgpt.com | Explains the Codex loop, threads, context, and goal-oriented prompting. | Explains the Codex loop, threads, context, and goal-oriented prompting. | Explains the Codex loop, threads, context, and goal-oriented prompting. | Context is managed as durable loop state rather than a single prompt payload. Explains the Codex loop, threads, context, and goal-oriented prompting. | Use Prompting - ChatGPT Learn to turn a recurring-agent idea into an explicit loop contract. | Primary official documentation from learn.chatgpt.com; use it for current product or standard behavior. | high | README.md | 581 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L581 | Design | design | Specify a loop contract and operating pattern. | objective;context | builder | workflow | direct | official-documentation | A | ok | https://learn.chatgpt.com/docs/prompting | Prompting | ChatGPT Learn | Write useful prompts for Chat mode, Work mode, and Codex | ChatGPT Learn | html-meta | 2026-07-18T08:16:45 | |||||||||||||||
ale-0048 | Core Loop Primitives | core-loop-primitives | Docs | 📚 | Customization overview - ChatGPT Learn | https://learn.chatgpt.com/docs/customization/overview | external | learn.chatgpt.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. Maps `AGENTS.md`, memories, skills, MCP, and subagents into a coherent customization stack. | Use Customization overview - ChatGPT Learn to turn a recurring-agent idea into an explicit loop contract. | Primary official documentation from learn.chatgpt.com; use it for current product or standard behavior. | high | README.md | 582 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L582 | Design | design | Specify a loop contract and operating pattern. | context;delegation | builder | workflow | direct | official-documentation | A | ok | https://learn.chatgpt.com/docs/customization/overview | Customization | ChatGPT Learn | How to customize Codex with project guidance, skills, MCP, and subagents | ChatGPT Learn | html-meta | 2026-07-18T08:16:45 | |||||||||||||||
ale-0049 | Core Loop Primitives | core-loop-primitives | Docs | 📚 | Build skills - ChatGPT Learn | https://learn.chatgpt.com/docs/build-skills | external | learn.chatgpt.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. Official skill format for reusable workflows, scripts, MCP dependencies, invocation policy, and plugin packaging. | Use Build skills - ChatGPT Learn to turn a recurring-agent idea into an explicit loop contract. | Primary official documentation from learn.chatgpt.com; use it for current product or standard behavior. | high | README.md | 583 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L583 | Design | design | Specify a loop contract and operating pattern. | whole-loop | builder | workflow | direct | official-documentation | A | ok | https://learn.chatgpt.com/docs/build-skills | Build skills | ChatGPT Learn | Give Codex new capabilities and expertise | ChatGPT Learn | html-meta | 2026-07-18T08:16:45 | |||||||||||||||
ale-0050 | Core Loop Primitives | core-loop-primitives | Docs | 📚 | Plugins - ChatGPT Learn | https://learn.chatgpt.com/docs/plugins | external | learn.chatgpt.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. Bundles skills, app integrations, and MCP servers into reusable loop capabilities. | Use Plugins - ChatGPT Learn to turn a recurring-agent idea into an explicit loop contract. | Primary official documentation from learn.chatgpt.com; use it for current product or standard behavior. | high | README.md | 584 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L584 | Design | design | Specify a loop contract and operating pattern. | whole-loop | builder | workflow | direct | official-documentation | A | ok | https://learn.chatgpt.com/docs/plugins | Plugins | ChatGPT Learn | Browse, install, and use plugins on supported ChatGPT and Codex surfaces | ChatGPT Learn | html-meta | 2026-07-18T08:16:45 | |||||||||||||||
ale-0051 | 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. | 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. 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. | Use dotskills to turn a recurring-agent idea into an explicit loop contract. | Inspectable GitHub source (97 stars; 9 forks; MIT license; updated 2026-07-17); popularity is context, not proof of reliability. | medium | README.md | 585 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L585 | Design | design | Specify a loop contract and operating pattern. | whole-loop | builder | workflow | direct | source-implementation | A | ok | https://github.com/vincentkoc/dotskills | GitHub - vincentkoc/dotskills: 🐙 A curated set of Codex and OpenClaw skills for workflow automation, technical debugging, and agent-assisted development patterns. · GitHub | 🐙 A curated set of Codex and OpenClaw skills for workflow automation, technical debugging, and agent-assisted development patterns. - vincentkoc/dotskills | 2026-02-17 | 2026 | vincentkoc/dotskills | GitHub | github-api | vincentkoc/dotskills | 97 | 9 | MIT | 2026-02-17T05:08:29Z | 2026-07-17T14:05:09Z | 2026-07-18T08:16:45 | ||||||
ale-0052 | Core Loop Primitives | core-loop-primitives | Docs | 📚 | Developer commands - ChatGPT Learn | https://learn.chatgpt.com/docs/developer-commands?surface=cli | external | learn.chatgpt.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. CLI commands for switching agent threads, browsing skills, inspecting MCP tools, and using subagent workflows. | Use Developer commands - ChatGPT Learn to turn a recurring-agent idea into an explicit loop contract. | Primary official documentation from learn.chatgpt.com; use it for current product or standard behavior. | high | README.md | 586 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L586 | Design | design | Specify a loop contract and operating pattern. | workspace;delegation | builder | workflow | direct | official-documentation | A | ok | https://learn.chatgpt.com/docs/developer-commands?surface=cli | Developer commands | ChatGPT Learn | Reference for commands and slash commands in Codex developer surfaces | ChatGPT Learn | html-meta | 2026-07-18T08:16:45 | |||||||||||||||
ale-0053 | 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. | 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. Claude Code pattern using task files, stop hooks, restart behavior, hard limits, and a kill switch. | Use Autonomous Loops to turn a recurring-agent idea into an explicit loop contract. | Operational pattern or playbook; signal comes from reusable loop structure and practical transferability. | medium | README.md | 587 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L587 | Design | design | Specify a loop contract and operating pattern. | exit | builder | workflow | direct | operational-pattern | B | ok | https://claudecodeguide.dev/docs/patterns/autonomous-loops | Claude Code Autonomous Loops | Claude Code Guide | Point Claude Code at a problem, walk away, come back to a green build. Task templates, kill switches, and why boundaries matter more than anything else. | claudecodeguide.dev | domain-fallback | 2026-07-18T08:16:45 | |||||||||||||||
ale-0054 | 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. Defines the agentic loop, hooks, subagents, skills, MCP, and related primitives in Claude Code terminology. | Use Claude Code Glossary to turn a recurring-agent idea into an explicit loop contract. | Primary official documentation from code.claude.com; use it for current product or standard behavior. | high | README.md | 588 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L588 | Design | design | Specify a loop contract and operating pattern. | delegation | builder | workflow | direct | official-documentation | A | ok | https://code.claude.com/docs/en/glossary.md | Anthropic | domain-fallback | 2026-07-18T08:16:45 | |||||||||||||||||
ale-0055 | 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. `/goal` runs turn after turn until a completion condition is met by a verifier. | Use Keep Claude working toward a goal to turn a recurring-agent idea into an explicit loop contract. | Primary official documentation from code.claude.com; use it for current product or standard behavior. | high | README.md | 589 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L589 | Design | design | Specify a loop contract and operating pattern. | objective;exit | builder | workflow | direct | official-documentation | A | ok | https://code.claude.com/docs/en/goal | Keep Claude working toward a goal - Claude Code Docs | Set a completion condition with /goal and Claude keeps working across turns until the condition is met. | Claude Code Docs | html-meta | 2026-07-18T08:16:45 | |||||||||||||||
ale-0056 | 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. `/loop`, scheduled tasks, reminders, monitor tools, and session-scoped recurring prompts. | Use Run prompts on a schedule to turn a recurring-agent idea into an explicit loop contract. | Primary official documentation from code.claude.com; use it for current product or standard behavior. | high | README.md | 590 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L590 | Design | design | Specify a loop contract and operating pattern. | trigger;workspace | builder | workflow | direct | official-documentation | A | ok | https://code.claude.com/docs/en/scheduled-tasks | Run prompts on a schedule - Claude Code Docs | Use /loop and the cron scheduling tools to run prompts repeatedly, poll for status, or set one-time reminders within a Claude Code session. | Claude Code Docs | html-meta | 2026-07-18T08:16:45 | |||||||||||||||
ale-0057 | 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. Claude Code routines: persistent cloud automations triggered by schedules, API calls, or GitHub events, with connectors, scoped environments, and branch-push limits. | Use Automate work with routines to turn a recurring-agent idea into an explicit loop contract. | Primary official documentation from code.claude.com; use it for current product or standard behavior. | high | README.md | 591 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L591 | Design | design | Specify a loop contract and operating pattern. | trigger;state | builder | workflow | direct | official-documentation | A | ok | https://code.claude.com/docs/en/routines | Automate work with routines - Claude Code Docs | Put Claude Code on autopilot. Define routines that run on a schedule, trigger on API calls, or react to GitHub events from Anthropic-managed cloud infrastructure. | Claude Code Docs | html-meta | 2026-07-18T08:16:45 | |||||||||||||||
ale-0058 | 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. 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. | Use Desktop scheduled tasks to turn a recurring-agent idea into an explicit loop contract. | Primary official documentation from code.claude.com; use it for current product or standard behavior. | high | README.md | 592 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L592 | Design | design | Specify a loop contract and operating pattern. | trigger;workspace;state | builder | workflow | direct | official-documentation | A | ok | https://code.claude.com/docs/en/desktop-scheduled-tasks | Schedule recurring tasks in Claude Code Desktop - Claude Code Docs | Set up scheduled tasks in Claude Code Desktop to run Claude automatically on a recurring basis for daily code reviews, dependency audits, or morning briefings. | Claude Code Docs | html-meta | 2026-07-18T08:16:45 | |||||||||||||||
ale-0059 | 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. Worktree isolation for parallel sessions and subagents so concurrent edits do not collide. | Use Run parallel sessions with worktrees to turn a recurring-agent idea into an explicit loop contract. | Primary official documentation from code.claude.com; use it for current product or standard behavior. | high | README.md | 593 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L593 | Design | design | Specify a loop contract and operating pattern. | workspace;delegation | builder | workflow | direct | official-documentation | A | ok | https://code.claude.com/docs/en/worktrees | Run parallel sessions with worktrees - Claude Code Docs | Isolate parallel Claude Code sessions in separate git worktrees so changes don't collide. Covers the --worktree flag, subagent isolation, .worktreeinclude, cleanup, and non-git VCS hooks. | Claude Code Docs | html-meta | 2026-07-18T08:16:45 | |||||||||||||||
ale-0060 | 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. Claude Code hooks guide for deterministic lifecycle control around model actions. | Use Automate actions with hooks to turn a recurring-agent idea into an explicit loop contract. | Primary official documentation from code.claude.com; use it for current product or standard behavior. | high | README.md | 594 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L594 | Design | design | Specify a loop contract and operating pattern. | whole-loop | builder | workflow | direct | official-documentation | A | ok | https://code.claude.com/docs/en/hooks-guide | Automate actions with hooks - Claude Code Docs | Run shell commands automatically when Claude Code edits files, finishes tasks, or needs input. Format code, send notifications, validate commands, and enforce project rules. | Claude Code Docs | html-meta | 2026-07-18T08:16:45 | |||||||||||||||
ale-0061 | 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. Event-level reference for session, turn, tool-call, and subagent hooks. | Use Hooks reference to turn a recurring-agent idea into an explicit loop contract. | Primary official documentation from code.claude.com; use it for current product or standard behavior. | high | README.md | 595 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L595 | Design | design | Specify a loop contract and operating pattern. | workspace;delegation | builder | workflow | direct | official-documentation | A | ok | https://code.claude.com/docs/en/hooks.md | Anthropic | domain-fallback | 2026-07-18T08:16:45 | |||||||||||||||||
ale-0062 | 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. Practical workflows for worktrees, subagents, CI, batch processing, planning, and resuming prior work. | Use Common workflows - Claude Code to turn a recurring-agent idea into an explicit loop contract. | Primary official documentation from code.claude.com; use it for current product or standard behavior. | high | README.md | 596 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L596 | Design | design | Specify a loop contract and operating pattern. | workspace;delegation | builder | workflow | direct | official-documentation | A | ok | https://code.claude.com/docs/en/common-workflows | Common workflows - Claude Code Docs | Step-by-step guides for exploring codebases, fixing bugs, refactoring, testing, and other everyday tasks with Claude Code. | Claude Code Docs | html-meta | 2026-07-18T08:16:45 | |||||||||||||||
ale-0063 | 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. Dashboard for dispatching, monitoring, and attaching to background agent sessions. | Use Manage multiple agents with agent view to turn a recurring-agent idea into an explicit loop contract. | Primary official documentation from code.claude.com; use it for current product or standard behavior. | high | README.md | 597 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L597 | Design | design | Specify a loop contract and operating pattern. | whole-loop | builder | workflow | direct | official-documentation | A | ok | https://code.claude.com/docs/en/agent-view.md | Anthropic | domain-fallback | 2026-07-18T08:16:45 | |||||||||||||||||
ale-0064 | 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. Compares agent view, subagents, agent teams, worktrees, tasks, and workflows for parallel work. | Use Run agents in parallel to turn a recurring-agent idea into an explicit loop contract. | Primary official documentation from code.claude.com; use it for current product or standard behavior. | high | README.md | 598 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L598 | Design | design | Specify a loop contract and operating pattern. | workspace;delegation | builder | workflow | direct | official-documentation | A | ok | https://code.claude.com/docs/en/agents.md | Anthropic | domain-fallback | 2026-07-18T08:16:45 | |||||||||||||||||
ale-0065 | 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. Moves loop state and branching into workflow scripts so large tasks do not overload the conversation context. | Use Orchestrate subagents at scale with dynamic workflows to turn a recurring-agent idea into an explicit loop contract. | Primary official documentation from code.claude.com; use it for current product or standard behavior. | high | README.md | 599 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L599 | Design | design | Specify a loop contract and operating pattern. | context;delegation;state | builder | workflow | direct | official-documentation | A | ok | https://code.claude.com/docs/en/workflows | Orchestrate subagents at scale with dynamic workflows - Claude Code Docs | Dynamic workflows orchestrate many subagents from a script Claude writes and you can rerun. Use them for codebase audits, large migrations, and cross-checked research. | Claude Code Docs | html-meta | 2026-07-18T08:16:45 | |||||||||||||||
ale-0066 | 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. Packaging model-invoked skills, agents, hooks, MCP servers, monitors, and settings as shareable loop components. | Use Create plugins to turn a recurring-agent idea into an explicit loop contract. | Primary official documentation from code.claude.com; use it for current product or standard behavior. | high | README.md | 600 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L600 | Design | design | Specify a loop contract and operating pattern. | whole-loop | builder | workflow | direct | official-documentation | A | ok | https://code.claude.com/docs/en/plugins | Create plugins - Claude Code Docs | Create custom plugins to extend Claude Code with skills, agents, hooks, and MCP servers. | Claude Code Docs | html-meta | 2026-07-18T08:16:45 | |||||||||||||||
ale-0067 | 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. Standard protocol for exposing tools and data sources to agent loops. | Use Model Context Protocol to turn a recurring-agent idea into an explicit loop contract. | Primary official documentation from modelcontextprotocol.io; use it for current product or standard behavior. | high | README.md | 601 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L601 | Design | design | Specify a loop contract and operating pattern. | workspace;context | builder | workflow | direct | official-documentation | A | ok | https://modelcontextprotocol.io/docs/getting-started/intro | What is the Model Context Protocol (MCP)? - Model Context Protocol | Model Context Protocol | html-meta | 2026-07-18T08:16:45 | ||||||||||||||||
ale-0068 | 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. Copilot CLI autopilot mode plus `/every` and `/after` scheduling, turning the CLI into an unattended loop that runs steps until a task is complete. | Use Allowing GitHub Copilot CLI to work autonomously to turn a recurring-agent idea into an explicit loop contract. | Primary official documentation from docs.github.com; use it for current product or standard behavior. | high | README.md | 602 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L602 | Design | design | Specify a loop contract and operating pattern. | trigger | builder | workflow | direct | official-documentation | A | ok | https://docs.github.com/en/copilot/concepts/agents/copilot-cli/autopilot | Allowing GitHub Copilot CLI to work autonomously - GitHub Docs | The CLI's autopilot mode lets Copilot CLI work autonomously on a task, carrying out multiple steps until the task is complete. | GitHub Docs | html-meta | 2026-07-18T08:16:45 | |||||||||||||||
ale-0069 | Core Loop Primitives | core-loop-primitives | Tool | 🧰 | opencode-scheduler | https://github.com/different-ai/opencode-scheduler | external | github.com | OpenCode plugin that runs recurring agent jobs through OS-native schedulers (launchd on macOS, systemd on Linux), with workdir-scoped jobs, timeouts, and skipped ticks when the previous run is still active. | OpenCode plugin that runs recurring agent jobs through OS-native schedulers (launchd on macOS, systemd on Linux), with workdir-scoped jobs, timeouts, and skipped ticks when the previous run is still active. | OpenCode plugin that runs recurring agent jobs through OS-native schedulers (launchd on macOS, systemd on Linux), with workdir-scoped jobs, timeouts, and skipped ticks when the previous run is still active. | Breaks loop design into operational primitives that can be combined across agents and runtimes. OpenCode plugin that runs recurring agent jobs through OS-native schedulers (launchd on macOS, systemd on Linux), with workdir-scoped jobs, timeouts, and skipped ticks when the previous run is still active. | Use opencode-scheduler to turn a recurring-agent idea into an explicit loop contract. | Inspectable GitHub source (442 stars; 30 forks; MIT license; updated 2026-07-18); popularity is context, not proof of reliability. | medium | README.md | 603 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L603 | Design | design | Specify a loop contract and operating pattern. | budget | builder | workflow | direct | source-implementation | A | ok | https://github.com/different-ai/opencode-scheduler | GitHub - different-ai/opencode-scheduler: OpenCode plugin for scheduling recurring jobs using launchd (Mac) or systemd (Linux) · GitHub | OpenCode plugin for scheduling recurring jobs using launchd (Mac) or systemd (Linux) - different-ai/opencode-scheduler | 2026-01-04 | 2026 | different-ai/opencode-scheduler | GitHub | github-api | different-ai/opencode-scheduler | 442 | 30 | MIT | 2026-01-04T03:04:58Z | 2026-07-18T06:09:01Z | 2026-07-18T08:16:45 | ||||||
ale-0070 | Core Loop Primitives | core-loop-primitives | Tool | 🧰 | Agent-Loop-Skills | https://github.com/gaasher/Agent-Loop-Skills | external | github.com | Reusable verification-gated loops (autoresearch, scientific writing, data analysis, code and prompt optimization, red-teaming) packaged as open-standard Agent Skills, each with a feedback signal, run ledger, and termination conditions. | Reusable verification-gated loops (autoresearch, scientific writing, data analysis, code and prompt optimization, red-teaming) packaged as open-standard Agent Skills, each with a feedback signal, run ledger, and termination conditions. | Reusable verification-gated loops (autoresearch, scientific writing, data analysis, code and prompt optimization, red-teaming) packaged as open-standard Agent Skills, each with a feedback signal, run ledger, and termination conditions. | Verification is promoted from a final check to a loop-control signal. Reusable verification-gated loops (autoresearch, scientific writing, data analysis, code and prompt optimization, red-teaming) packaged as open-standard Agent Skills, each with a feedback signal, run ledger, and termination conditions. | Use Agent-Loop-Skills to turn a recurring-agent idea into an explicit loop contract. | Inspectable GitHub source (134 stars; 15 forks; MIT license; updated 2026-07-17); popularity is context, not proof of reliability. | medium | README.md | 604 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L604 | Design | design | Specify a loop contract and operating pattern. | verification;exit | builder | workflow | direct | source-implementation | A | ok | https://github.com/gaasher/Agent-Loop-Skills | GitHub - gaasher/Agent-Loop-Skills: Loop until it's better — drop-in agentic loops (autoresearch, scientific writing, data analysis, code/SQL/prompt optimization, red-teaming) as open-standard Agent Skills. Verification-gated; native on Claude Code, portable across Codex, Cursor & other Skills hosts. · GitHub | Loop until it's better — drop-in agentic loops (autoresearch, scientific writing, data analysis, code/SQL/prompt optimization, red-teaming) as open-standard Agent Skills. Verification-gated; native on Claude Code, portable across Codex, Cursor & other Skills hosts. - gaasher/Agent-Loop-Skills | 2026-06-15 | 2026 | gaasher/Agent-Loop-Skills | GitHub | github-api | gaasher/Agent-Loop-Skills | 134 | 15 | MIT | 2026-06-15T02:01:33Z | 2026-07-17T22:55:10Z | 2026-07-18T08:16:45 | ||||||
ale-0071 | Core Loop Primitives | core-loop-primitives | Tool | 🧰 | launch-your-agent | https://github.com/anthropics/launch-your-agent | external | github.com | Anthropic's official Claude Code skill set that operationalizes an interview, launch, grade-against-definition-of-done, iterate, and schedule loop for Claude Managed Agents, leaving a live recurring scheduled agent plus an eval scaffold and roadmap. | Anthropic's official Claude Code skill set that operationalizes an interview, launch, grade-against-definition-of-done, iterate, and schedule loop for Claude Managed Agents, leaving a live recurring scheduled agent plus an eval scaffold and roadmap. | Anthropic's official Claude Code skill set that operationalizes an interview, launch, grade-against-definition-of-done, iterate, and schedule loop for Claude Managed Agents, leaving a live recurring scheduled agent plus an eval scaffold and roadmap. | Primary-source operational guidance rather than commentary. Anthropic's official Claude Code skill set that operationalizes an interview, launch, grade-against-definition-of-done, iterate, and schedule loop for Claude Managed Agents, leaving a live recurring scheduled agent plus an eval scaffold and roadmap. | Use launch-your-agent to turn a recurring-agent idea into an explicit loop contract. | Inspectable GitHub source (814 stars; 154 forks; Apache-2.0 license; updated 2026-07-18); popularity is context, not proof of reliability. | medium | README.md | 605 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L605 | Design | design | Specify a loop contract and operating pattern. | trigger;verification;exit | builder | workflow | direct | source-implementation | A | ok | https://github.com/anthropics/launch-your-agent | GitHub - anthropics/launch-your-agent: Claude Code skills that take a founder from idea to a live Claude Managed Agent: interview, scope a v0, launch in their own account, grade it, iterate, and schedule it · GitHub | Claude Code skills that take a founder from idea to a live Claude Managed Agent: interview, scope a v0, launch in their own account, grade it, iterate, and schedule it - anthropics/launch-your-agent | 2026-06-16 | 2026 | anthropics/launch-your-agent | GitHub | github-api | anthropics/launch-your-agent | 814 | 154 | Apache-2.0 | 2026-06-16T14:49:50Z | 2026-07-18T05:18:12Z | 2026-07-18T08:16:45 | ||||||
ale-0072 | 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. OpenAI's runbook for plan-edit-test-observe-repair-document-repeat work, including specs, plans, status logs, and validation gates. | Use Run long horizon tasks with Codex to choose an implementation surface for repeatable agent work. | Primary official documentation from developers.openai.com; use it for current product or standard behavior. | high | README.md | 618 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L618 | Build | build | Choose runtimes, tools, and delegation surfaces. | context;verification | builder | harness | enabling | official-documentation | A | ok | https://developers.openai.com/blog/run-long-horizon-tasks-with-codex | Run long horizon tasks with Codex | OpenAI Developers | OpenAI Developer Blog | OpenAI Developers | html-meta | 2026-07-18T08:16:45 | |||||||||||||||
ale-0073 | Official Runtime Guides | official-runtime-guides | Docs | 📚 | Best practices - ChatGPT Learn | https://learn.chatgpt.com/guides/best-practices | external | learn.chatgpt.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. Official best practices for context, `AGENTS.md`, MCP, skills, subagents, and automations. | Use Best practices - ChatGPT Learn to choose an implementation surface for repeatable agent work. | Primary official documentation from learn.chatgpt.com; use it for current product or standard behavior. | high | README.md | 619 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L619 | Build | build | Choose runtimes, tools, and delegation surfaces. | context;delegation | builder | harness | enabling | official-documentation | A | ok | https://learn.chatgpt.com/guides/best-practices | Best practices | ChatGPT Learn | Getting started with Codex and proven practices for better results | ChatGPT Learn | html-meta | 2026-07-18T08:16:45 | |||||||||||||||
ale-0074 | 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. OpenAI guide for agent orchestration, tool execution, approvals, state, guardrails, and observability. | Use Agents SDK to choose an implementation surface for repeatable agent work. | Primary official documentation from developers.openai.com; use it for current product or standard behavior. | high | README.md | 620 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L620 | Build | build | Choose runtimes, tools, and delegation surfaces. | workspace;delegation;state;escalation | builder | harness | enabling | official-documentation | A | ok | https://developers.openai.com/api/docs/guides/agents | Agents SDK | OpenAI API | Learn how the OpenAI Agents SDK fits together and which docs to read next. | OpenAI Developers | html-meta | 2026-07-18T08:16:45 | |||||||||||||||
ale-0075 | 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. SDK primitives for agents, tools, handoffs, guardrails, and runner-managed loops. | Use Agents - OpenAI Agents SDK to choose an implementation surface for repeatable agent work. | Primary official documentation from openai.github.io; use it for current product or standard behavior. | high | README.md | 621 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L621 | Build | build | Choose runtimes, tools, and delegation surfaces. | workspace;delegation | builder | harness | enabling | official-documentation | A | ok | https://openai.github.io/openai-agents-python/agents/ | Agents - OpenAI Agents SDK | openai.github.io | domain-fallback | 2026-07-18T08:16:45 | ||||||||||||||||
ale-0076 | 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. OpenAI guide to turns, state, approvals, sessions, and continuation in the SDK runtime loop. | Use Running agents to choose an implementation surface for repeatable agent work. | Primary official documentation from developers.openai.com; use it for current product or standard behavior. | high | README.md | 622 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L622 | Build | build | Choose runtimes, tools, and delegation surfaces. | state;escalation | builder | harness | enabling | official-documentation | A | ok | https://developers.openai.com/api/docs/guides/agents/running-agents | Running agents | OpenAI API | Learn how to run agents, stream output, and choose the right conversation-state strategy in the OpenAI Agents SDK. | OpenAI Developers | html-meta | 2026-07-18T08:16:45 | |||||||||||||||
ale-0077 | 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. OpenAI guide to MCP wiring and traces as the basis for debugging and evaluation loops. | Use Integrations and observability to choose an implementation surface for repeatable agent work. | Primary official documentation from developers.openai.com; use it for current product or standard behavior. | high | README.md | 623 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L623 | Build | build | Choose runtimes, tools, and delegation surfaces. | verification | builder | harness | enabling | official-documentation | A | ok | https://developers.openai.com/api/docs/guides/agents/integrations-observability | Integrations and observability | OpenAI API | Learn how to integrate MCP into Agents SDK workflows and how to trace and debug runs. | OpenAI Developers | html-meta | 2026-07-18T08:16:45 | |||||||||||||||
ale-0078 | 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. Splits the harness control plane from the sandbox execution plane for long-running file and command work. | Use Sandbox Agents to choose an implementation surface for repeatable agent work. | Primary official documentation from developers.openai.com; use it for current product or standard behavior. | high | README.md | 624 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L624 | Build | build | Choose runtimes, tools, and delegation surfaces. | workspace | builder | harness | enabling | official-documentation | A | ok | https://developers.openai.com/api/docs/guides/agents/sandboxes | Sandbox Agents | OpenAI API | Learn how sandboxes fit into Agents SDK workflows, when to use them, and how orchestration stays separate from execution. | OpenAI Developers | html-meta | 2026-07-18T08:16:45 | |||||||||||||||
ale-0079 | 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. Approval and validation boundaries for sensitive agent actions. | Use Guardrails and human review to choose an implementation surface for repeatable agent work. | Primary official documentation from developers.openai.com; use it for current product or standard behavior. | high | README.md | 625 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L625 | Build | build | Choose runtimes, tools, and delegation surfaces. | escalation | builder | harness | enabling | official-documentation | A | ok | https://developers.openai.com/api/docs/guides/agents/guardrails-approvals | Guardrails and human review | OpenAI API | Learn how to use guardrails and human review in the OpenAI Agents SDK for safer, more controlled workflows. | OpenAI Developers | html-meta | 2026-07-18T08:16:45 | |||||||||||||||
ale-0080 | Official Runtime Guides | official-runtime-guides | Blog | 📝 | ChatGPT Work and the Codex Desktop App | https://openai.com/index/chatgpt-for-your-most-ambitious-work/ | external | openai.com | OpenAI's July 9, 2026 launch of ChatGPT Work, a GPT-5.6-powered agent that stays with a project for hours by breaking a goal into smaller steps and completing them independently across apps and files, alongside Codex merging into the ChatGPT desktop app with in-sidebar PR review and cross-repository projects, extending... | OpenAI's July 9, 2026 launch of ChatGPT Work, a GPT-5.6-powered agent that stays with a project for hours by breaking a goal into smaller steps and completing them independently across apps and files, alongside Codex merging into the ChatGPT desktop app with in-sidebar PR review and cross-repository projects, extending... | OpenAI's July 9, 2026 launch of ChatGPT Work, a GPT-5.6-powered agent that stays with a project for hours by breaking a goal into smaller steps and completing them independently across apps and files, alongside Codex merging into the ChatGPT desktop app with in-sidebar PR review and cross-repository projects, extending... | The work targets tasks that exceed a single context window or prompt session. OpenAI's July 9, 2026 launch of ChatGPT Work, a GPT-5.6-powered agent that stays with a project for hours by breaking a goal into smaller steps and completing them independently across apps and files, alongside Codex merging into the ChatGPT ... | Use ChatGPT Work and the Codex Desktop App to choose an implementation surface for repeatable agent work. | Contextual source from openai.com; useful for practice signals or boundary conditions, not independent validation. | contextual | README.md | 626 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L626 | Build | build | Choose runtimes, tools, and delegation surfaces. | objective | builder | harness | enabling | practitioner-analysis | B | ok | https://openai.com/index/chatgpt-for-your-most-ambitious-work/ | ChatGPT is now a partner for your most ambitious work | OpenAI | ChatGPT Work is an agent that can take action across your apps and files, stay with a project for hours if needed, and turn a goal into finished work. | OpenAI | html-meta | 2026-07-18T08:16:45 | |||||||||||||||
ale-0081 | 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. Claude SDK overview for tool-using agents, subagents, state, permissions, and streaming. | Use Building agents with the Claude Agent SDK to choose an implementation surface for repeatable agent work. | Primary official documentation from code.claude.com; use it for current product or standard behavior. | high | README.md | 631 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L631 | Build | build | Choose runtimes, tools, and delegation surfaces. | workspace;delegation;state | builder | harness | enabling | official-documentation | A | ok | https://code.claude.com/docs/en/agent-sdk/overview.md | Anthropic | domain-fallback | 2026-07-18T08:16:45 | |||||||||||||||||
ale-0082 | 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. Official walkthrough of the inner agent loop that outer recurring loops build on. | Use How the agent loop works to choose an implementation surface for repeatable agent work. | Primary official documentation from code.claude.com; use it for current product or standard behavior. | high | README.md | 632 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L632 | Build | build | Choose runtimes, tools, and delegation surfaces. | workspace;context;delegation;state | builder | harness | enabling | official-documentation | A | ok | https://code.claude.com/docs/en/agent-sdk/agent-loop | How the agent loop works - Claude Code Docs | Understand the message lifecycle, tool execution, context window, and architecture that power your SDK agents. | Claude Code Docs | html-meta | 2026-07-18T08:16:45 | |||||||||||||||
ale-0083 | 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. Claude Code skill system for reusable loop instructions and assets. | Use Extend Claude with skills to choose an implementation surface for repeatable agent work. | Primary official documentation from code.claude.com; use it for current product or standard behavior. | high | README.md | 633 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L633 | Build | build | Choose runtimes, tools, and delegation surfaces. | workspace;context;delegation;state | builder | harness | enabling | official-documentation | A | ok | https://code.claude.com/docs/en/skills | Extend Claude with skills - Claude Code Docs | Create, manage, and share skills to extend Claude's capabilities in Claude Code. Includes custom commands and bundled skills. | Claude Code Docs | html-meta | 2026-07-18T08:16:45 | |||||||||||||||
ale-0084 | 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. Claude Code custom subagents with isolated context, model choice, and tool permissions. | Use Create custom subagents to choose an implementation surface for repeatable agent work. | Primary official documentation from code.claude.com; use it for current product or standard behavior. | high | README.md | 634 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L634 | Build | build | Choose runtimes, tools, and delegation surfaces. | workspace;context;delegation | builder | harness | enabling | official-documentation | A | ok | https://code.claude.com/docs/en/sub-agents | Create custom subagents - Claude Code Docs | Create and use specialized AI subagents in Claude Code for task-specific workflows and improved context management. | Claude Code Docs | html-meta | 2026-07-18T08:16:45 | |||||||||||||||
ale-0085 | 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. Anthropic's guidance on evaluating and improving tool specs using agentic loops and realistic tasks. | Use Writing effective tools for AI agents to choose an implementation surface for repeatable agent work. | Primary official documentation from www.anthropic.com; use it for current product or standard behavior. | high | README.md | 635 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L635 | Build | build | Choose runtimes, tools, and delegation surfaces. | workspace | builder | harness | enabling | official-documentation | A | ok | https://www.anthropic.com/engineering/writing-tools-for-agents | Writing effective tools for AI agents—using AI agents \ Anthropic | Writing effective tools for AI agents—using AI agents | Anthropic | domain-fallback | 2026-07-18T08:16:45 | |||||||||||||||
ale-0086 | 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. Tool search, programmatic tool calling, and tool-use examples for scaling large tool libraries without flooding context. | Use Introducing advanced tool use on the Claude Developer Platform to choose an implementation surface for repeatable agent work. | Primary official documentation from www.anthropic.com; use it for current product or standard behavior. | high | README.md | 636 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L636 | Build | build | Choose runtimes, tools, and delegation surfaces. | workspace;context | builder | harness | enabling | official-documentation | A | ok | https://www.anthropic.com/engineering/advanced-tool-use?e45d281a_page=3 | Introducing advanced tool use on the Claude Developer Platform \ Anthropic | Claude can now discover, learn, and execute tools dynamically to enable agents that take action in the real world. Here’s how. | Anthropic | domain-fallback | 2026-07-18T08:16:45 | |||||||||||||||
ale-0087 | 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. Anthropic's guidance for agents that work across many context windows: durable progress artifacts, environment setup, and self-verification. | Use Effective harnesses for long-running agents to choose an implementation surface for repeatable agent work. | Primary official documentation from www.anthropic.com; use it for current product or standard behavior. | high | README.md | 637 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L637 | Build | build | Choose runtimes, tools, and delegation surfaces. | context;verification | builder | harness | enabling | official-documentation | A | ok | https://www.anthropic.com/engineering/effective-harnesses-for-long-running-agents | Effective harnesses for long-running agents \ Anthropic | Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems. | Anthropic | domain-fallback | 2026-07-18T08:16:45 | |||||||||||||||
ale-0088 | 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. Widely cited workflow guidance that underlies many recurring Claude Code loops. | Use Claude Code best practices to choose an implementation surface for repeatable agent work. | Primary official documentation from code.claude.com; use it for current product or standard behavior. | high | README.md | 638 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L638 | Build | build | Choose runtimes, tools, and delegation surfaces. | workspace;context;delegation;state | builder | harness | enabling | official-documentation | A | ok | https://code.claude.com/docs/en/best-practices | Best practices for Claude Code - Claude Code Docs | Tips and patterns for getting the most out of Claude Code, from configuring your environment to scaling across parallel sessions. | Claude Code Docs | html-meta | 2026-07-18T08:16:45 | |||||||||||||||
ale-0089 | Official Runtime Guides | official-runtime-guides | Docs | 📚 | Claude Managed Agents: Scheduled Deployments and Vaults | https://claude.com/blog/whats-new-in-claude-managed-agents | external | claude.com | Scheduled deployments for Claude Managed Agents, where each cron firing starts a fresh session to complete the task, plus environment-variable vaults that let sandboxed agents authenticate tools while the real secret attaches only at the network boundary. | Scheduled deployments for Claude Managed Agents, where each cron firing starts a fresh session to complete the task, plus environment-variable vaults that let sandboxed agents authenticate tools while the real secret attaches only at the network boundary. | Scheduled deployments for Claude Managed Agents, where each cron firing starts a fresh session to complete the task, plus environment-variable vaults that let sandboxed agents authenticate tools while the real secret attaches only at the network boundary. | The trigger or cadence is explicit, making the workflow recurring rather than one-off. Scheduled deployments for Claude Managed Agents, where each cron firing starts a fresh session to complete the task, plus environment-variable vaults that let sandboxed agents authenticate tools while the real secret attaches only at... | Use Claude Managed Agents: Scheduled Deployments and Vaults to choose an implementation surface for repeatable agent work. | Primary official documentation from claude.com; use it for current product or standard behavior. | high | README.md | 639 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L639 | Build | build | Choose runtimes, tools, and delegation surfaces. | trigger;workspace | builder | harness | enabling | official-documentation | A | ok | https://claude.com/blog/whats-new-in-claude-managed-agents | New in Claude Managed Agents: run agents on a schedule and store environment variables in vaults | Claude by Anthropic | Claude Managed Agents now supports scheduled deployments and vaults: run agents on a cron schedule and securely authenticate CLI tools and other services. | Claude | html-meta | 2026-07-18T08:16:45 | |||||||||||||||
ale-0090 | Official Runtime Guides | official-runtime-guides | Blog | 📝 | Getting Started with Loops | https://claude.com/blog/getting-started-with-loops | external | claude.com | Official Claude Code team guide by Delba de Oliveira and Michael Segner (June 30, 2026) that defines loops as agents repeating cycles of work until a stop condition is met, categorizes turn-based, goal-based (/goal), time-based (/loop, /schedule), and proactive loops by trigger and stop criteria, and recommends encodin... | Official Claude Code team guide by Delba de Oliveira and Michael Segner (June 30, 2026) that defines loops as agents repeating cycles of work until a stop condition is met, categorizes turn-based, goal-based (/goal), time-based (/loop, /schedule), and proactive loops by trigger and stop criteria, and recommends encodin... | Official Claude Code team guide by Delba de Oliveira and Michael Segner (June 30, 2026) that defines loops as agents repeating cycles of work until a stop condition is met, categorizes turn-based, goal-based (/goal), time-based (/loop, /schedule), and proactive loops by trigger and stop criteria, and recommends encodin... | Primary-source operational guidance rather than commentary. Official Claude Code team guide by Delba de Oliveira and Michael Segner (June 30, 2026) that defines loops as agents repeating cycles of work until a stop condition is met, categorizes turn-based, goal-based (/goal), time-based (/loop, /schedule), and proactiv... | Use Getting Started with Loops to choose an implementation surface for repeatable agent work. | Contextual source from claude.com; useful for practice signals or boundary conditions, not independent validation. | contextual | README.md | 640 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L640 | Build | build | Choose runtimes, tools, and delegation surfaces. | objective;trigger;verification;budget;exit | builder | harness | enabling | practitioner-analysis | B | ok | https://claude.com/blog/getting-started-with-loops | Loop engineering: Getting started with loops | Claude by Anthropic | Loop engineering with Anthropic's Claude Code: design turn-based, goal, time, and proactive agent loops that run to a stop condition. | Claude | html-meta | 2026-07-18T08:16:45 | |||||||||||||||
ale-0091 | Official Runtime Guides | official-runtime-guides | Docs | 📚 | Claude Code What's New, Week 28 | https://code.claude.com/docs/en/whats-new/2026-w28 | external | code.claude.com | Weekly digest whose loop-integrity features include auto mode blocking tampering with session transcript files and confirmation prompts before destructive operations in unattended runs. | Weekly digest whose loop-integrity features include auto mode blocking tampering with session transcript files and confirmation prompts before destructive operations in unattended runs. | Weekly digest whose loop-integrity features include auto mode blocking tampering with session transcript files and confirmation prompts before destructive operations in unattended runs. | Shows how production platforms expose loops through concrete tools, permissions, skills, agents, and automation features. Weekly digest whose loop-integrity features include auto mode blocking tampering with session transcript files and confirmation prompts before destructive operations in unattended runs. | Use Claude Code What's New, Week 28 to choose an implementation surface for repeatable agent work. | Primary official documentation from code.claude.com; use it for current product or standard behavior. | high | README.md | 641 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L641 | Build | build | Choose runtimes, tools, and delegation surfaces. | workspace;context;delegation;state | builder | harness | enabling | official-documentation | A | ok | https://code.claude.com/docs/en/whats-new/2026-w28 | Week 28 · July 6–10, 2026 - Claude Code Docs | Browse external sites from the Desktop app's built-in browser, run a full setup checkup with /doctor, and pick up auto mode transcript protections and agent view upgrades. | 2026 | Claude Code Docs | html-meta | 2026-07-18T08:16:45 | ||||||||||||||
ale-0092 | 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. Repository automation that runs coding agents in GitHub Actions on events or schedules with guardrails. | Use GitHub Agentic Workflows to choose an implementation surface for repeatable agent work. | Primary official documentation from github.github.com; use it for current product or standard behavior. | high | README.md | 646 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L646 | Build | build | Choose runtimes, tools, and delegation surfaces. | workspace;context;delegation;state | builder | harness | enabling | official-documentation | A | ok | https://github.github.com/gh-aw/ | Home | GitHub Agentic Workflows | Write repository automation workflows in natural language using markdown files and run them as GitHub Actions. Use AI agents with strong guardrails to automate your development workflow. | GitHub Agentic Workflows | html-meta | 2026-07-18T08:16:45 | |||||||||||||||
ale-0093 | 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. GitHub Next's umbrella framing for CI/CD-style AI automation across the software lifecycle, the category that agentic workflows demonstrate. | Use Continuous AI to choose an implementation surface for repeatable agent work. | Primary official documentation from githubnext.com; use it for current product or standard behavior. | high | README.md | 647 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L647 | Build | build | Choose runtimes, tools, and delegation surfaces. | workspace;context;delegation;state | builder | harness | enabling | official-documentation | A | ok | https://githubnext.com/projects/continuous-ai/ | Continuous AI | Exploring LLM-powered automation in platform-based software collaboration | githubnext.com | domain-fallback | 2026-07-18T08:16:45 | |||||||||||||||
ale-0094 | 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, announced in the [technical preview changelog](https://github.blog/changelog/2026-02-13-github-agentic-workflows-are-now-in-technical-preview/). | Official walkthrough of writing Markdown-defined agentic workflows with guardrails for triage, QA, and docs chores, announced in the [technical preview changelog](https://github.blog/changelog/2026-02-13-github-agentic-workflows-are-now-in-technical-preview/). | Official walkthrough of writing Markdown-defined agentic workflows with guardrails for triage, QA, and docs chores, announced in the [technical preview changelog](https://github.blog/changelog/2026-02-13-github-agentic-workflows-are-now-in-technical-preview/). | Primary-source operational guidance rather than commentary. Official walkthrough of writing Markdown-defined agentic workflows with guardrails for triage, QA, and docs chores, announced in the [technical preview changelog](https://github.blog/changelog/2026-02-13-github-agentic-workflows-are-now-in-technical-preview/). | Use Automate repository tasks with GitHub Agentic Workflows to choose an implementation surface for repeatable agent work. | Contextual source from github.blog; useful for practice signals or boundary conditions, not independent validation. | contextual | README.md | 648 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L648 | Build | build | Choose runtimes, tools, and delegation surfaces. | intake | builder | harness | enabling | practitioner-analysis | B | ok | https://github.blog/ai-and-ml/automate-repository-tasks-with-github-agentic-workflows/ | Automate repository tasks with GitHub Agentic Workflows - The GitHub Blog LinkedIn icon Instagram icon YouTube icon X icon TikTok icon Twitch icon GitHub icon | Build automations using coding agents in GitHub Actions to handle triage, documentation, code quality, and more. | Don Syme, Peli de Halleux | 2026-02-13 | 2026 | The GitHub Blog | html-meta | 2026-07-18T08:16:45 | ||||||||||||
ale-0095 | 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. Concrete agentic-CI automations available today, with recurring patterns for triage, review, and documentation upkeep. | Use Continuous AI in practice: What developers can automate today with agentic CI to choose an implementation surface for repeatable agent work. | Contextual source from github.blog; useful for practice signals or boundary conditions, not independent validation. | contextual | README.md | 649 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L649 | Build | build | Choose runtimes, tools, and delegation surfaces. | intake | builder | harness | enabling | practitioner-analysis | B | ok | https://github.blog/ai-and-ml/generative-ai/continuous-ai-in-practice-what-developers-can-automate-today-with-agentic-ci/ | Continuous AI in practice: What developers can automate today with agentic CI - The GitHub Blog LinkedIn icon Instagram icon YouTube icon X icon TikTok icon Twitch icon GitHub icon | Think of Continuous AI as background agents that operate in your repository for tasks that require reasoning. | GitHub Staff | 2026-02-05 | 2026 | The GitHub Blog | html-meta | 2026-07-18T08:16:45 | ||||||||||||
ale-0096 | 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. GitHub's autonomous coding agent: assign an issue, the agent works in an isolated Actions-powered workspace, and a reviewable pull request comes back. | Use About GitHub Copilot coding agent to choose an implementation surface for repeatable agent work. | Primary official documentation from docs.github.com; use it for current product or standard behavior. | high | README.md | 650 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L650 | Build | build | Choose runtimes, tools, and delegation surfaces. | intake;workspace | builder | harness | enabling | official-documentation | A | ok | https://docs.github.com/en/copilot/concepts/agents/cloud-agent/about-cloud-agent | About GitHub Copilot cloud agent - GitHub Docs | Copilot can research a repository, create an implementation plan, and make code changes on a branch. You can review the diff, iterate, and create a pull request when you're ready. | GitHub Docs | html-meta | 2026-07-18T08:16:45 | |||||||||||||||
ale-0097 | 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. Launch overview of the issue-to-PR delegation loop, including iteration on review feedback. | Use GitHub Copilot: Meet the new coding agent to choose an implementation surface for repeatable agent work. | Contextual source from github.blog; useful for practice signals or boundary conditions, not independent validation. | contextual | README.md | 651 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L651 | Build | build | Choose runtimes, tools, and delegation surfaces. | intake;delegation | builder | harness | enabling | practitioner-analysis | B | ok | https://github.blog/news-insights/product-news/github-copilot-meet-the-new-coding-agent/ | GitHub Copilot: Meet the new coding agent - The GitHub Blog LinkedIn icon Instagram icon YouTube icon X icon TikTok icon Twitch icon GitHub icon | GitHub Copilot has a new feature: a coding agent that can implement a task or issue, run in the background with GitHub Actions, and more. | Thomas Dohmke | 2025-05-19 | 2025 | The GitHub Blog | html-meta | 2026-07-18T08:16:45 | ||||||||||||
ale-0098 | Official Runtime Guides | official-runtime-guides | Docs | 📚 | GitHub Copilot for Jira Is Now Generally Available | https://github.blog/changelog/2026-06-25-github-copilot-for-jira-is-now-generally-available/ | external | github.blog | General availability of Copilot for Jira: delegate a Jira issue to the Copilot coding agent, monitor session progress inside the issue, and send follow-up instructions that continue the same draft pull request instead of starting a new one. | General availability of Copilot for Jira: delegate a Jira issue to the Copilot coding agent, monitor session progress inside the issue, and send follow-up instructions that continue the same draft pull request instead of starting a new one. | General availability of Copilot for Jira: delegate a Jira issue to the Copilot coding agent, monitor session progress inside the issue, and send follow-up instructions that continue the same draft pull request instead of starting a new one. | Shows how production platforms expose loops through concrete tools, permissions, skills, agents, and automation features. General availability of Copilot for Jira: delegate a Jira issue to the Copilot coding agent, monitor session progress inside the issue, and send follow-up instructions that continue the same draft p... | Use GitHub Copilot for Jira Is Now Generally Available to choose an implementation surface for repeatable agent work. | Primary official documentation from github.blog; use it for current product or standard behavior. | high | README.md | 652 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L652 | Build | build | Choose runtimes, tools, and delegation surfaces. | intake;delegation | builder | harness | enabling | official-documentation | A | ok | https://github.blog/changelog/2026-06-25-github-copilot-for-jira-is-now-generally-available/ | GitHub Copilot for Jira is now generally available - GitHub Changelog LinkedIn icon Instagram icon YouTube icon X icon TikTok icon Twitch icon GitHub icon | GitHub Copilot for Jira is now generally available. Since launching the public preview in March 2026, we have shipped a series of enhancements based on your feedback, including model selection,… | 2026 | The GitHub Blog | html-meta | 2026-07-18T08:16:45 | ||||||||||||||
ale-0099 | Official Runtime Guides | official-runtime-guides | Docs | 📚 | Copilot Agent Session Streaming (Public Preview) | https://github.blog/changelog/2026-07-02-copilot-agent-session-streaming-is-now-in-public-preview/ | external | github.blog | Public preview that streams Copilot agent session activity, including prompts, responses, and tool calls, from cloud agents, the CLI, and IDEs to SIEM-compatible endpoints and a REST API, giving enterprises an audit trail for delegated agent work. | Public preview that streams Copilot agent session activity, including prompts, responses, and tool calls, from cloud agents, the CLI, and IDEs to SIEM-compatible endpoints and a REST API, giving enterprises an audit trail for delegated agent work. | Public preview that streams Copilot agent session activity, including prompts, responses, and tool calls, from cloud agents, the CLI, and IDEs to SIEM-compatible endpoints and a REST API, giving enterprises an audit trail for delegated agent work. | Shows how production platforms expose loops through concrete tools, permissions, skills, agents, and automation features. Public preview that streams Copilot agent session activity, including prompts, responses, and tool calls, from cloud agents, the CLI, and IDEs to SIEM-compatible endpoints and a REST API, giving ent... | Use Copilot Agent Session Streaming (Public Preview) to choose an implementation surface for repeatable agent work. | Primary official documentation from github.blog; use it for current product or standard behavior. | high | README.md | 653 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L653 | Build | build | Choose runtimes, tools, and delegation surfaces. | workspace;delegation | builder | harness | enabling | official-documentation | A | ok | https://github.blog/changelog/2026-07-02-copilot-agent-session-streaming-is-now-in-public-preview/ | Copilot agent session streaming is now in public preview - GitHub Changelog LinkedIn icon Instagram icon YouTube icon X icon TikTok icon Twitch icon GitHub icon | GitHub Enterprise Cloud customers with enterprise managed users can now access GitHub Copilot agent session data across all Copilot clients, including: Cloud agents operating on github.com and data resident deployments… | 2026 | The GitHub Blog | html-meta | 2026-07-18T08:16:45 | ||||||||||||||
ale-0100 | Official Runtime Guides | official-runtime-guides | Docs | 📚 | Security Reviews in the GitHub Copilot App | https://github.blog/changelog/2026-07-14-security-reviews-now-available-in-the-github-copilot-app | external | github.blog | Changelog adding on-demand security reviews inside the Copilot app, so an agent's proposed changes can be scanned for vulnerabilities before they are merged. | Changelog adding on-demand security reviews inside the Copilot app, so an agent's proposed changes can be scanned for vulnerabilities before they are merged. | Changelog adding on-demand security reviews inside the Copilot app, so an agent's proposed changes can be scanned for vulnerabilities before they are merged. | Shows how production platforms expose loops through concrete tools, permissions, skills, agents, and automation features. Changelog adding on-demand security reviews inside the Copilot app, so an agent's proposed changes can be scanned for vulnerabilities before they are merged. | Use Security Reviews in the GitHub Copilot App to choose an implementation surface for repeatable agent work. | Primary official documentation from github.blog; use it for current product or standard behavior. | high | README.md | 654 | https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md#L654 | 2026-07-15 | Build | build | Choose runtimes, tools, and delegation surfaces. | workspace;context;delegation;state | builder | harness | enabling | official-documentation | A | ok | https://github.blog/changelog/2026-07-14-security-reviews-now-available-in-the-github-copilot-app/ | Security reviews now available in the GitHub Copilot app - GitHub Changelog LinkedIn icon Instagram icon YouTube icon X icon TikTok icon Twitch icon GitHub icon | You can now run a security review on your in-flight code changes directly from the GitHub Copilot app. The /security-review slash command is shipping in public preview, bringing the same… | 2026 | The GitHub Blog | html-meta | 2026-07-18T08:16:45 |
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