Sweep

AI junior developer that turns GitHub issues into pull requests — vector-based code search, multi-step planning, and embed-aware refactors.

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About Sweep

Sweep is the AI junior developer that turns GitHub issues into pull requests. Tag a Sweep label on an issue and Sweep analyzes the codebase, creates a multi-step plan, writes the code, opens a PR, and iterates on feedback — all autonomously. Vector-based code search keeps an updated embedding index of the entire repo, so AI changes understand dependencies and shared utilities. Free for open-source; paid plans start at $20/mo Pro (with $20 in usage included), with options for credit top-ups and automatic top-up. Best fit for backlogs of well-scoped bug fixes and small features.

Key Features

GitHub issue → autonomous pull request
Vector-based code search across the repo
Multi-step plan + commit + PR generation
Iterative feedback loop on PR comments
Free for open-source projects
Pro from $20/mo with $20 usage included
Auto top-up option for active teams
Codebase-aware refactors

Use Cases

Turn a backlog of GitHub issues into PRs autonomously
Auto-fix small bugs without engineering time
Generate first drafts of new features from issues
Respond to PR review comments with code updates
Run inside open-source projects for free
Scale junior engineering throughput

Pros & Cons

Pros

  • End-to-end issue → PR flow is genuinely autonomous
  • Free for open-source projects
  • Vector-based code search reduces hallucinations
  • Tight GitHub integration

Cons

  • Best for small/well-scoped issues
  • Less polished UI than Cursor / Copilot
  • Pricing structure has changed multiple times
  • Quality drops on large multi-module refactors