Interview: Sweep founders share learnings from building an AI coding assistant
FreeAI coding assistant that turns GitHub issues into pull requests
About Interview: Sweep founders share learnings from building an AI coding assistant
Sweep is an AI coding assistant that automatically generates code from GitHub issues, transforming them directly into pull requests without requiring an IDE. It uses embedding-based code search to plan and implement solutions, with an initial startup time of 3-5 minutes. Open-source and hosted on GitHub with over 5,000 stars, Sweep targets experienced developers seeking to boost efficiency. The tool, created by William Zeng and Kevin Lu as part of YC S23, handles about 100 pull requests per day and allows iterative refinement through comments on PRs. The founders share insights on agent failures (20% prompt-related, 80% other issues) and their custom debugging approach using an internal chat visualizer.
Key Features
Pros & Cons
- Automates repetitive code changes from issues
- Integrates directly with GitHub workflow
- Allows iterative refinement through comments
- Open-source and community-driven
- Designed for strong developers to maximize efficiency
- Agent failures occur frequently (20% prompt, 80% other issues)
- Debugging requires manual review of conversation logs
- Server-centralized architecture affects all users if issues arise
- Startup time of 3-5 minutes may be slow for quick tasks