Interview: Sweep founders share learnings from building an AI coding assistant logo

Interview: Sweep founders share learnings from building an AI coding assistant

Free

AI coding assistant that turns GitHub issues into pull requests

FreeFree tier
Outputs: code
Type
Open Source

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

Generates code on GitHub issue submissions
Turns issues directly into pull requests without an IDE
Uses embedding-based code search
Allows iteration via comments on pull requests
Open-source with over 5000 GitHub stars
Startup time of 3-5 minutes
About 100 pull requests per day usage

Pros & Cons

Pros
  • 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
Cons
  • 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

Best For

Automating code fixes from bug reportsImplementing feature requests via pull requestsRapid prototyping by generating code from issuesBoosting developer productivity on existing projects

FAQ

How does Sweep work?
Sweep monitors GitHub issues, plans how to solve them, writes code, and creates a pull request directly without needing an IDE.
What causes agent failures?
Approximately 20% are due to prompts, 80% from other issues like wrong format or incorrect approach.
How do the founders debug Sweep?
They built an internal chat visualizer to review conversation logs, allowing them to identify and fix issues.
Who is Sweep for?
It targets strong developers to help them be as efficient as possible.
Is Sweep open-source?
Yes, it is open-source and has over 5000 GitHub stars.