PR-Agent — AI-Powered Code Review for Pull Requests

What it is

PR-Agent is an AI-powered code review tool by Qodo that works with GitHub, GitLab, and Bitbucket pull requests. It auto-generates PR descriptions, reviews code changes, suggests improvements, and answers questions about the code. It runs as a GitHub Action, GitLab webhook, or CLI tool.

This tool is for development teams who want to speed up code review cycles. It provides a first-pass review that catches common issues before human reviewers look at the PR.

How it saves time or tokens

Human code review is a bottleneck in most development workflows. PR-Agent provides immediate feedback on PRs, reducing the wait time for initial review. It generates structured PR descriptions from the diff, saving authors from writing them manually. The estimated token cost is around 500 tokens per review. The real value is in faster iteration cycles and more consistent review quality.

How to use

1. Install PR-Agent as a GitHub Action or GitLab webhook.
2. Configure your LLM API key.
3. PR-Agent automatically reviews new pull requests.
4. Use slash commands in PR comments for on-demand actions.

# .github/workflows/pr-agent.yml
name: PR-Agent
on:
  pull_request:
    types: [opened, reopened, ready_for_review]
  issue_comment:
    types: [created]

jobs:
  pr-agent:
    runs-on: ubuntu-latest
    steps:
      - uses: Codium-ai/pr-agent@main
        env:
          OPENAI_KEY: ${{ secrets.OPENAI_KEY }}
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

Example

Slash commands in PR comments:

/describe    - Auto-generate PR description from diff
/review      - Full code review with suggestions
/improve     - Suggest code improvements
/ask 'Why was this approach chosen?'  - Ask questions about the code
/update_changelog  - Generate changelog entry
/add_docs    - Suggest documentation additions

PR-Agent responds inline with structured feedback, code suggestions, and explanations.

Related on TokRepo

• AI coding tools — More AI-assisted development tools
• Automation tools — CI/CD and workflow automation

Common pitfalls

• PR-Agent sends code diffs to an LLM API. Ensure your security policy allows sending code to third-party APIs.
• Large PRs with many files may hit token limits. Consider splitting large PRs or configuring file filters.
• AI review suggestions are not always correct. Treat them as input for discussion, not as authoritative decisions.
• Rate limiting on the LLM API can delay reviews during high-activity periods.
• The free open-source version has fewer features than the Qodo Pro offering. Advanced features like SOC2 compliance and priority support require a paid plan.
• Review the official documentation before deploying to production to ensure compatibility with your specific environment and requirements.