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ScriptsMar 28, 2026·2 min de lecture

Sweep — Turn GitHub Issues into Pull Requests

AI agent that turns GitHub issues into pull requests automatically. Handles bug fixes and small features with context-aware code generation.

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Introduction

Sweep was an AI-powered GitHub bot that turned issues into pull requests automatically. You'd describe a bug fix or small feature in a GitHub issue, and Sweep would read your codebase, write the code, and open a PR. It handled planning, code generation, and even responded to PR review comments. 7,600+ GitHub stars.

Status: The team has pivoted to building a JetBrains AI coding assistant. The original Sweep bot code is still on GitHub but is no longer the team's focus.

Works with: GitHub Copilot ---

How Sweep Worked

  1. You create a GitHub issue describing the change ("Fix the login redirect bug" or "Add dark mode toggle to settings")
  2. Sweep reads your codebase — understands the project structure, dependencies, patterns
  3. Sweep writes code — creates the implementation following your project's conventions
  4. Sweep opens a PR — with descriptive title, summary, and the actual code changes
  5. You review — leave comments on the PR, and Sweep can respond to feedback and make adjustments

What It Could Handle

  • Bug fixes from issue descriptions
  • Small feature implementations
  • Code refactoring tasks
  • Documentation updates
  • Test additions

Limitations

  • Worked best on small, well-defined changes
  • Large features or architectural changes were beyond scope
  • Required clear issue descriptions for best results

FAQ

Q: What is Sweep? A: AI agent that turns GitHub issues into pull requests automatically. Handles bug fixes and small features with context-aware code generation.

Q: How do I install Sweep? A: Check the Quick Use section above for step-by-step installation instructions. Most assets can be set up in under 2 minutes.

🙏

Source et remerciements

sweep — ⭐ 7,600+ JetBrains AI Plugin

Thanks to the Sweep team for pioneering the issue-to-PR workflow. The concept influenced many subsequent AI coding tools.

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