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How to review a GitHub pull request with findings and reasons with Code AF

Run the review specialist on a PR and get findings with file locations and fixes.

Remote script. The install step pipes a remote script from agentfield.ai into bash, so review it or pin a version from the releases page first.

Who it is forA maintainer or reviewer with a pending pull request who wants a structured first pass before reading every line.

The problemReviewing a large pull request by hand takes time and it is easy to miss a risky area such as retry logic.

The outcomeA Markdown or JSON review with findings, file locations, reasons, suggested fixes and review coverage, which the reviewer can act on.

What you need first

  • macOS or Linux machine with a terminal
  • A provider key (OpenRouter, DeepSeek, GLM, Kimi, MiniMax, Qwen), a ChatGPT plan through Codex, or a running Ollama install
  • A git repository for the project you want to work on
  • Install CodeAF with the curl script, or build it from source with make build

Steps

  1. Install Code AF with curl -fsSL https://agentfield.ai/get/codeaf | bash, then start it with codeaf.
  2. Connect a model provider on first start.
  3. In the chat, type /review owner/repo#123 focus on retries, replacing the repository and pull request number.
  4. Open the review task to follow progress and read the findings with their file locations.
  5. Read the coverage section before acting, and request posting or fixes as a separate step.

Prompt for your agent

Use the CodeAF repo at Agent-Field/CodeAF. After installing it, run `/review <owner>/<repo>#<number> focus on retries` in the chat. Expected output: a review report with findings, file locations, reasons, suggested fixes and coverage, in Markdown or JSON. Verify that the code was not changed and that the coverage section lists what was not analyzed.

Caveat. The README says review is imported from PR-AF and that its benchmark results belong to the original project, not to codeaf's imported review specialist.

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Disclaimer

Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked "Seen in the wild", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email [email protected] and we will look at it promptly. Full disclaimer page