Sweep AI
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.
Pricing
Free
Free plan
Yes
Category
Coding
Platforms
1
Free plan
Yes
API access
Yes
Open source
Yes
Platforms
1
What is Sweep AI?
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.
How Sweep AI works
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.
Watch Sweep AI in action
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What makes it worth shortlisting
The capabilities that matter most for teams evaluating Sweep AI.
GitHub issue to PR
Automatically implements GitHub issues and opens pull requests from label or mention triggers.
Codebase context
Reads repository structure and code patterns to implement changes consistent with the existing codebase.
Iterative refinement
Reads review comments and updates the pull request based on feedback.
Best use cases
Who should use it
Pros
- Clear ROI at $0.50/PR vs developer time for well-defined issues
- Works within existing GitHub workflow
- Codebase context produces more relevant implementations
- Iterative refinement from PR comments
Cons
- Quality varies significantly by issue complexity
- Not suited for complex architectural changes
- Repository access requires security consideration
Is it worth the price?
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
Tools like Sweep AI
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.
Sweep AI vs OpenHands
A side-by-side look at the closest alternative in this category.
Sweep AI
Sweep AI
OpenHands
OpenHands
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.
- Clear ROI at $0.50/PR vs developer time for well-defined issues
- Works within existing GitHub workflow
- Codebase context produces more relevant implementations
- Iterative refinement from PR comments
- Free open source alternative to expensive commercial coding agents like Devin
- Self-hosted deployment keeps code within your infrastructure
- Model flexibility — use any compatible AI model with your own API keys
- Active open source community with regular improvements
- Quality varies significantly by issue complexity
- Not suited for complex architectural changes
- Repository access requires security consideration
- Requires technical capability to deploy and manage the runtime environment
- Autonomous task quality depends heavily on the underlying model quality
- Self-managed means no commercial support for production issues
Technical & deployment info
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
Security & privacy
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.
What users are saying
Verified reviews from signed-in users, stored in the backend and averaged into this tool's rating.
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Common questions about Sweep AI
Editorial Verdict
Should you use Sweep AI?
Sweep is valuable for engineering teams with backlogs of well-defined issues where routine implementation consumes disproportionate developer time.
Last verified July 24, 2026.