Sweep AI / sweep.dev
AI developer tool that automatically creates pull requests from GitHub issue descriptions by reading the codebase, writing code changes, and opening PRs for human review.
Free plan
Yes
API access
Yes
Open source
Yes
Platforms
1
Sweep reads a GitHub issue, navigates the codebase to understand context, writes the necessary code changes, and opens a pull request. Label a GitHub issue with 'sweep' or mention @SweepAI and it handles the implementation autonomously. At $0.50 per resolved PR, the value exchange is clear for well-defined tasks that would take developer hours. Particularly effective for bug fixes, documented feature additions, refactoring tasks, and dependency updates.
Sweep AI runs as code llm agent software built around text and code workflows. Users typically start with a prompt, upload, or connected data source, and the underlying model handles the heavy lifting before returning a result you can refine or export. It's available on github, with API access for teams that want to embed it into their own products.
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The capabilities that matter most for teams evaluating Sweep AI.
Automatically implements GitHub issues and opens pull requests from label or mention triggers.
Reads repository structure and code patterns to implement changes consistent with the existing codebase.
Reads review comments and updates the pull request based on feedback.
Free tier with limited monthly PR generations. Pay-as-you-go $0.50/PR resolved. Business plans available.
Model
Freemium
Starting price
Free
Free trial
No
Devin AI is more comprehensive at $500/month. Claude Code and Aider handle coding in the terminal. GitHub Copilot Workspace is GitHub's own automated PR generation feature.
A side-by-side look at the closest alternative in this category.
Key facts about model providers, platforms, and team support.
Model Provider
Anthropic, OpenAI
Models
Claude Sonnet, GPT-4
Platforms
GitHub
Deployment
SaaS
Integrations
GitHub, GitHub Actions
Team Collaboration
No
Launch Year
2023
Compliance signals and data-handling notes as reported by the vendor.
Review Sweep's data handling policy. Repository code access required. Enterprise includes data handling agreements.
Sweep accesses repository code to implement issues. Review data handling before granting access to proprietary codebases.
Editorial Verdict
Sweep is valuable for engineering teams with backlogs of well-defined issues where routine implementation consumes disproportionate developer time.
Last verified July 24, 2026.
James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias, Carole H. Sudre, Archana Venkataraman, Polina Golland, Jong Hyo Kim, Jinah Park
Paula Boddington
Toon Vanagt, Olivier Verbeke
Boris Kovalerchuk, Kawa Nazemi, Răzvan Andonie, Nuno Datia, Ebad Banissi
Free tier with limited monthly PR generations. Pay-as-you-go $0.50/PR resolved. Business plans available.
Completely free and open source. Requires your own AI model API keys. Cloud-hosted version available with usage-based pricing. No subscription costs beyond API usage.
Review Sweep's data handling policy. Repository code access required. Enterprise includes data handling agreements.
Open source codebase. All data handling depends on configured AI provider. Self-hosted deployment keeps all code within your own infrastructure beyond API calls.
Sweep accesses repository code to implement issues. Review data handling before granting access to proprietary codebases.
All processing except AI model API calls occurs within your own infrastructure when self-hosted. Code is sent to your configured AI provider (Anthropic, OpenAI, etc.) for reasoning. Review the chosen provider's data handling policy.
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