We built an AI Agent to reproduce bugs
Meet Repro-Bot, our GitHub issue triage agent
- Freemium
- Web, API
- AI Code AssistantsDesignAI Code Quality & Review
- Free plan available
- No credit card

What is We built an AI Agent to reproduce bugs?
Key features
Automatic bug reproduction
reads GitHub issues and attempts to recreate reported problems without manual intervention
Issue triage
identifies which reported issues are valid bugs versus user misunderstandings or duplicates
Diagnostic collection
gathers logs, error messages, and reproduction steps automatically when issues are confirmed
GitHub integration
works directly with GitHub issue trackers to process incoming reports
Time saving
reduces manual verification work for development teams handling high issue volumes
Pros & cons
Advantages
- Cuts down manual reproduction work for teams with large backlogs
- Provides consistent, documented reproduction steps for confirmed bugs
- Available on a freemium model, making it accessible to open-source projects
- Integrates directly with GitHub workflows without requiring additional tooling
Limitations
- Limited to reproducing issues that can be tested in a running instance; won't catch environment-specific problems
- Requires proper issue descriptions to work effectively; poorly written reports may not reproduce
- Still in early stages; may not handle all types of bugs or edge cases reliably
Use cases
Open-source projects with high issue volume needing faster triage processes
Development teams wanting to reduce time spent on manual bug verification
Confirming which GitHub issues represent actual bugs versus feature requests or user errors
Generating initial diagnostic information before assigning issues to developers
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Pricing
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- Free plan available
- No credit card