pr-agent provides automated AI-powered code review for pull requests. It generates PR descriptions, reviews, and code improvement suggestions using a single LLM call at approximately 30 seconds with low cost.
Project overview
Each tool operates with a single LLM call at roughly 30 seconds with low cost, and the project effectively processes both small and large PRs using a PR Compression strategy while being community-owned and in the process of being donated to an open-source foundation.
Deployment
Refer to project documentation
License
MIT
Best for
Developers and operations teams seeking automated AI-powered code review for pull requests.
Key capabilities
Automatically generates a PR title, summary, walkthrough, and labels.
Produces findings covering security, review effort, and tests.
Provides actionable code-improvement suggestions.
Supports free-text Q&A about a PR.
Effectively processes both small and large PRs using adaptive and token-aware file patch fitting.
Supports SKILL.md files to define specific agent skills.
Supports AGENTS.md files to pick up project conventions by default.
Tool for help docs is temporarily disabled pending a fix for a credential-exposure issue.
Limitations and risks
Help Docs has been temporarily disabled since v0.36.1 pending a fix for a credential-exposure issue.
Requires external LLM API keys, which may incur costs.
Getting started
Run `pip install pr-agent`, set `export OPENAI_KEY=your_key_here`, then execute `pr-agent --pr_url <PR_URL> review` to begin.