cy0307/awesome-loop-engineering
Awesome Loop Engineering Dataset A structured dataset of 1022 papers, official docs, tools, benchmarks, patterns, critiques, and implementation guides for recurring AI-agent systems. Resource Atlas · GitHub field guide · Resource selection · Report a correction Dataset Summary Each row connects an original source to its contribution, novelty, impact, publication details, lifecycle stages, audience, evidence type, link status, and… See the full description on the dataset page: https://huggingface.co/datasets/cy0307/awesome-loop-engineering.
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1# Code Of Conduct2 3Awesome Loop Engineering is a technical curation project. Contributors should help keep discussions accurate, specific, and useful for builders.4 5## Expected Behavior6 7- Be respectful and assume good intent.8- Keep feedback concrete and evidence-based.9- Prefer primary sources and verifiable claims.10- Disclose caveats such as vendor bias, paywalls, unstable links, or weak evidence.11- Respect maintainers' scope decisions when a resource is not specific to AI/coding-agent Loop Engineering.12 13## Unacceptable Behavior14 15- Harassment, insults, threats, or discriminatory language.16- Spam, link farming, or promotional submissions without technical substance.17- Posting secrets, private customer data, credentials, or internal-only links.18- Misrepresenting a source, author, benchmark, tool, or affiliation.19- Repeatedly pushing unrelated event-loop, growth-loop, control-theory, or generic automation content into scope.20 21## Enforcement22 23Maintainers may edit, close, or remove issues, pull requests, comments, or links that violate this code of conduct or the repository scope. Serious or repeated violations may lead to blocked participation.24 25## Reporting26 27If a discussion becomes unsafe or inappropriate, open an issue with sensitive details removed, or contact the maintainer through GitHub. For security-sensitive concerns, follow `SECURITY.md`.28