llms.txt@docs git:20260611.9133863A

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# Awesome Loop Engineering

> Curated resources and practical patterns for Loop Engineering: the practice of designing recurring AI-agent and coding-agent systems that discover work, delegate to agents, verify results, persist state, and run again on a cadence or until a verifiable goal is reached.

## Core

- [README](https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/README.md): the curated list with the Loop Contract, design checklist, and maturity model
- [Canonical definition](https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/DEFINITION.md): short definition, positioning, and minimal loop test
- [Taxonomy](https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/TAXONOMY.md): classification by trigger, intake, verification, state model, and topology
- [Anti-patterns](https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/ANTI-PATTERNS.md): common loop failure modes

## Patterns

- [Pattern library](https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/patterns/README.md): operational loop patterns with triggers, gates, budgets, and escalation
- [Loop contracts](https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/examples/README.md): schema-validated contract JSON for every pattern, plus runnable reference loops

## Optional

- [Landing page](https://chaoyue0307.github.io/awesome-loop-engineering/)
- [Contributing](https://github.com/ChaoYue0307/awesome-loop-engineering/blob/main/CONTRIBUTING.md)