
Patchly
Turn production errors into GitHub-ready patches
Details
- Categories
- Developer ToolsAnalytics & Monitoring
- Target Audience
- DevelopersSoftware DevelopersStartups
- Pricing
- Freemium
- Platforms
- Web
- Alternative To
Sentry
About Patchly
Patchly is error monitoring for indie hackers and small teams building with AI coding tools. It captures production failures, groups the noise into readable issues, and automatically opens a GitHub issue with stack trace, affected users, and source-aware repair notes ā so your next Claude Code or Cursor session has everything it needs to propose a fix. Think Sentry, but built for the vibe-coder workflow: one DSN for browser and server, GitHub OAuth to route issues straight to your repo, and an MCP server so your AI agent can list open errors, fetch repair notes, and mark patches proposed without leaving the editor. Free plan captures up to 1,000 errors/month. Pro ($10/mo) unlocks automatic GitHub issues, AI fix comments, and source map analysis.
Product Insights
Patchly provides a specialized monitoring and bug tracking platform for Web developers that streamlines the transition from production error to code fix. It integrates error capturing with GitHub and AI coding tools to facilitate automated issue creation and repair notes.
- Native MCP server support to interface directly with AI agents like Cursor or Claude Code.
- Integrated GitHub OAuth for automatic issue routing and repository management.
- Unified DSN for both browser and server-side production monitoring.
- Freemium model with a low-cost Pro tier for source map analysis and AI fix comments.
Ideal for: Developers and Startups can use Patchly to automate the bridge between production failures and AI-assisted code repair within their repository workflow.
Patchly serves as an alternative to Sentry specifically tailored for modern workflows involving AI coding assistants.
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Comments (1)
Built this because I kept pasting stack traces into Claude Code manually. Patchly automates the loop: error ā GitHub issue ā AI repair note ā fix. Ready for agentic workflows.