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Turns GitHub issues into pull requests, with a JetBrains-first workflow
Sweep AI is an AI coding agent that takes a GitHub issue, reads the relevant files, writes a patch and opens a pull request. It also ships as a JetBrains IDE plugin. There is a free start for open source, with paid plans for private repos.
It works asynchronously from an issue, not a cursor position. You label an issue or mention the bot, and it goes away and comes back with a branch. That fits triage-style work — a backlog of small bugs — better than interactive pair programming does.
The team pivoted from a cloud-only GitHub bot to a JetBrains-first product, which is unusual given the market’s Copilot and VS Code focus. If your team lives in IntelliJ or PyCharm, that is a real differentiator.
Where Sweep shines is small, well-specified chores: bump a dependency, add a null check, update a deprecated API call across 12 files. Those tasks have clear success criteria, and Sweep handles them without much supervision.
Where it stumbles is ambiguity. A vague issue produces a plausible-looking PR that misses the real requirement, and you spend more time reviewing than you saved. Multi-file changes in large repos can also drift. The tool is not a substitute for a clear spec.
Pricing is seat-based for teams, with usage limits on how many PRs the agent generates per month. Compared with Cursor or Copilot at flat monthly rates, the value depends entirely on how many issues you actually want automated.