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pr agent

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Basic Information

PR-Agent is an open-source AI-powered tool designed to automate and assist pull request workflows by generating reviews, feedback, suggestions and related PR utilities. It runs as a comment-driven agent that can be invoked on public repositories (for example by mentioning @CodiumAI-Agent with commands such as /review or /improve) and can also be deployed as a CLI, GitHub Action, GitHub App/webhook, Docker service or integrated into other git providers. The project emphasizes pragmatic, single-LLM-call tools and a PR compression strategy to fit diffs into manageable prompts. PR-Agent supports multiple git hosts, multiple LLM providers and models, modular JSON-based prompting for configurable review categories, and offers both a self-hosted option using your OpenAI key and a hosted Qodo Merge product with additional enterprise features and data-retention guarantees.

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8652
App URL
https://github.com/qodo-ai/pr-agent
Github Repository
https://github.com/qodo-ai/pr-agent/blob/main/README.md

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App Details

Features
The repository bundles multiple PR-focused tools and core capabilities. Tools include describe, review, improve, ask (including ask on code lines), help docs, update changelog, add documentation, analyze, auto-approve, CI feedback, compliance checks, custom prompts, generate custom labels, generate tests, implement, scan repo discussions, find similar code, suggestion tracking, PR chat and PR-to-ticket conversion. Usage modes cover CLI, app/webhook, Actions and a Chrome extension for UI. Core abilities include PR compression and token-aware patch fitting, JSON prompting, dynamic context and RAG context enrichment, multi-model support, code validation, static code analysis (in the hosted offering), interactivity, incremental updates and self-reflection. The design prioritizes fast, affordable answers with a single LLM call per tool and configurable categories via a settings file.
Use Cases
PR-Agent speeds and standardizes code review and PR handling by producing automated, actionable feedback so teams can review changes faster and more consistently. It reduces manual review load with features like automated reviews, improvement suggestions, auto-approval, compliance checks and changelog or documentation generation. The tool integrates into CI/CD and developer workflows via Actions, CLI, apps and IDE post-commit hooks, and can generate tests or labels and track suggestions. Administrators can self-host using their OpenAI credentials to control data flow, or use Qodo Merge hosted for zero data retention, priority support and extra static-analysis capabilities. The project also supports multiple git providers and models and offers a free Qodo Merge tier for open-source projects with a monthly review limit, enabling quick experimentation on public repositories.

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Content Creation (5042)
Monetization & Business (2246)
Development Tools (1407)
Marketing & Social Media (1403)
Education & Career (1380)
Multi-Agent Platforms & Frameworks (1009)
Health & Life (957)
AI Resources (920)
Agents & Automation (778)
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Productivity Tools (679)
Writing & Editing (666)

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