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README.md
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> Loop Engineering is the practice of designing recurring AI-agent and coding-agent systems that discover work, delegate to agents, verify results, persist state, and retry or escalate on a cadence or until a goal is reached. *Awesome Loop Engineering* is a curated, implementation-focused resource collection for this practice: [github.com/ChaoYue0307/awesome-loop-engineering](https://github.com/ChaoYue0307/awesome-loop-engineering)
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## Dataset Structure
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Each row in `data/resources.jsonl` (and the equivalent `data/resources.csv`) is one curated resource, exported from the English `README.md`.
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Versioned changes are published as [GitHub Releases](https://github.com/ChaoYue0307/awesome-loop-engineering/releases).
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##
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```bibtex
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@misc{chaoyue2026awesome_loop_engineering,
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> Loop Engineering is the practice of designing recurring AI-agent and coding-agent systems that discover work, delegate to agents, verify results, persist state, and retry or escalate on a cadence or until a goal is reached. *Awesome Loop Engineering* is a curated, implementation-focused resource collection for this practice: [github.com/ChaoYue0307/awesome-loop-engineering](https://github.com/ChaoYue0307/awesome-loop-engineering)
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## Dataset Structure
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Each row in `data/resources.jsonl` (and the equivalent `data/resources.csv`) is one curated resource, exported from the English `README.md`.
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Versioned changes are published as [GitHub Releases](https://github.com/ChaoYue0307/awesome-loop-engineering/releases).
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## Citation
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```bibtex
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@misc{chaoyue2026awesome_loop_engineering,
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