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pr-agent

pr-agent: An open-source, AI-powered code review agent for pull requests.

What problem it solves

Pull request review requires timely, useful feedback and suggestions without adding unnecessary manual work. Teams also need control over deployment, prompts, model choice, and integration with their preferred git providers and development workflows.

Key features

  • Automated review tools — Run review-related tools as pull request comments or through the CLI, including /describe, /review, /improve, and /ask.

    Source: README

  • Multiple deployment options — Use a git provider action, run the CLI locally, or deploy with Docker, a self-hosted service, or webhooks.

    Source: README, Dockerfile.github_action_dockerhub

  • Broad git provider support — Connect with GitHub, GitLab, Bitbucket, Azure DevOps, and Gitea through platform-specific integrations.

    Source: README, github_action

  • Configurable AI models — Select among supported model providers or other models reachable through LiteLLM, with model configuration available for project-specific needs.

    Source: README, .pr_agent.toml

  • Self-hosted operation — Keep control of your data and infrastructure while customizing prompts and review behavior for your team.

    Source: README

Quick start

Copied verbatim from the project's README.

pip install "pr-agent[github]"
export OPENAI_KEY=your_key_here
pr-agent --pr_url https://github.com/owner/repo/pull/123 review
# Comment on a PR (GitHub/GitLab/Bitbucket/…):
/describe
/review
/improve
/ask "What does this PR change?" # free-text Q&A about the PR

# Issue-scoped commands run on an issue instead of a PR:
/similar_issue # find similar issues in the repository

# Or locally via the CLI:
pr-agent --pr_url <PR_URL> review
pr-agent --issue_url <ISSUE_URL> similar_issue

Who it may suit

This may suit development teams that want AI-assisted pull request review, configurable review behavior, and flexible deployment across common git platforms.

Topics to discuss

  • Which configuration and prompting patterns are most effective for your team's review standards?

  • How should AI-generated review feedback be integrated into existing development workflows?

  • What safeguards and deployment practices are important when running an AI review agent on private repositories?


Written by ReadmeX AI from the project's README, source and public GitHub data; it may contain mistakes.

Read the original README https://github.com/The-PR-Agent/pr-agent#readme

ReadmeX opened this community for a trending project; it is not run by the project. Maintainers can claim it from the community page.

github.comhttps://github.com/The-PR-Agent/pr-agent

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