CodiumAI PR-Agent is an open-source tool aiming to help developers review PRs faster and more efficiently. It automatically analyzes the PR and can provide several types of feedback:

Auto-Description: Automatically generating PR description - name, type, summary, and code walkthrough.
PR Review: Feedback about the PR main theme, type, relevant tests, security issues, focused PR, and various suggestions for the PR content.
Question Answering: Answering free-text questions about the PR.
Code Suggestion: Committable code suggestions for improving the PR.

Example results:

/describe:

/review:

/ask:

/improve:

• Live demo
• Overview
• Quickstart
• Usage and tools
• Configuration
• How it works
• Roadmap
• Similar projects

Live demo

Experience GPT-4 powered PR review on your public GitHub repository with our hosted PR-Agent. To try it, just mention @CodiumAI-Agent and add the desired command in any PR comment! The agent will generate a response based on your command.

To set up your own PR-Agent, see the Quickstart section

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Overview

PR-Agent offers extensive pull request functionalities across various git providers:

		GitHub	Gitlab	Bitbucket
TOOLS	Review	✅	✅	✅
	⮑ Inline review	✅	✅
	Ask	✅	✅
	Auto-Description	✅	✅
	Improve Code	✅	✅
	Reflect and Review	✅
USAGE	CLI	✅	✅	✅
	Tagging bot	✅	✅
	Actions	✅
CORE	PR compression	✅	✅	✅
	Repo language prioritization	✅	✅	✅
	Adaptive and token-aware file patch fitting	✅	✅	✅

Examples for invoking the different tools via the CLI:

• Review: python cli.py --pr-url=<pr_url> review
• Describe: python cli.py --pr-url=<pr_url> describe
• Improve: python cli.py --pr-url=<pr_url> improve
• Ask: python cli.py --pr-url=<pr_url> ask "Write me a poem about this PR"
• Reflect: python cli.py --pr-url=<pr_url> reflect

"<pr_url>" is the url of the relevant PR (for example: https://github.com/Codium-ai/pr-agent/pull/50).

In the configuration file you can select your git provider (GitHub, Gitlab, Bitbucket), and further configure the different tools.

Quickstart

To get started with PR-Agent quickly, you first need to acquire two tokens:

1. An OpenAI key from here, with access to GPT-4.
2. A GitHub personal access token (classic) with the repo scope.

There are several ways to use PR-Agent. Let's start with the simplest one:

Install

Here are several ways to install and run PR-Agent:

• Method 1: Use Docker image (no installation required)
• Method 2: Run as a GitHub Action
• Method 3: Run from source
• Method 4: Run as a polling server
  • Request reviews by tagging your GitHub user on a PR
• Method 5: Run as a GitHub App
  • Allowing you to automate the review process on your private or public repositories

Usage and Tools

PR-Agent provides five types of interactions ("tools"): "PR Reviewer", "PR Q&A", "PR Description", "PR Code Sueggestions" and "PR Reflect and Review".

• The "PR Reviewer" tool automatically analyzes PRs, and provides various types of feedback.
• The "PR Q&A" tool answers free-text questions about the PR.
• The "PR Description" tool automatically sets the PR Title and body.
• The "PR Code Suggestion" tool provide inline code suggestions for the PR that can be applied and committed.
• The "PR Reflect and Review" tool first initiates a dialog with the user and asks them to reflect on the PR, and then provides a review.

How it works

Check out the PR Compression strategy page for more details on how we convert a code diff to a manageable LLM prompt

Roadmap

• Support open-source models, as a replacement for openai models. (Note - a minimal requirement for each open-source model is to have 8k+ context, and good support for generating json as an output)
• Support other Git providers, such as Gitlab and Bitbucket.
• Develop additional logics for handling large PRs, and compressing git patches
• Add additional context to the prompt. For example, repo (or relevant files) summarization, with tools such a ctags
• Adding more tools. Possible directions:
  • PR description
  • Inline code suggestions
  • Reflect and review
  • Enforcing CONTRIBUTING.md guidelines
  • Performance (are there any performance issues)
  • Documentation (is the PR properly documented)
  • Rank the PR importance
  • ...

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