Développement
agentic-ai-prompt-research
Research into how agentic AI coding assistants work. Reconstructed prompt patterns, agent coordination, and security classification
★ 2,6 k étoilesUnknown
Voir le guide →pr-af est un projet de développement open source, créé par Agent-Field (Agent-Field/pr-af sur GitHub). Il compte 645 étoiles sur GitHub et 73 forks, il est publié sous la licence Custom et a été mis à jour pour la dernière fois sur GitHub le 21 septembre 2026.
Open-source AI code reviewer — top-ranked on the Code-Review-Bench.
Add the reviewer to your repository workflow.
PRs trigger automatic AI review.
The reviewer comments with issues and suggestions.
Push fixes and let it re-check the diff.
Ranked #1 open-source reviewer on Code-Review-Bench.
Reviews trigger on every pull request.
Deep code understanding, not regex rules.
Findings appear where the code is.
Built for everyday PR workflows.
Inspect how the reviewer reaches its verdicts.
Download the source and move into the project folder.
git clone https://github.com/Agent-Field/pr-af.git
cd pr-afEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt uses a custom license — read the license file before commercial use.
A benchmark for AI code reviewers — the project claims the top open-source spot.
Check the README for GitHub, GitLab, and other integrations.
No — it augments reviewers by catching issues early and consistently.
See the repo docs for the supported LLM providers.
Research into how agentic AI coding assistants work. Reconstructed prompt patterns, agent coordination, and security classification
开源 AI 短剧/漫剧创作 skill 合集：剧本、角色资产、分镜 storyboard、图片/视频提示词、审查，适配 Claude Code 与 Codex | Open-source AI short drama / micro-drama skills for Claude Code & Codex: sc…
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Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.