An open-source AI coding agent that converts GitHub issues into pull requests by reading the codebase, creating a multi-step plan, writing the code changes, and opening a PR ready for human review, with a JetBrains IDE plugin for inline completions, test generation, and code modifications.
Product Demo Video
Sweep is an AI coding agent that resolves GitHub issues by autonomously reading the codebase, planning the required changes, writing the code, and submitting a pull request for human review.
Rather than suggesting code snippets in a chat interface, Sweep acts as a junior developer that handles the full cycle from issue to PR.
Developers trigger Sweep by labeling a GitHub issue or creating one with a specific keyword, and the agent handles the rest, including creating a branch, committing changes, writing tests, and opening the pull request.
The tool targets software development teams that deal with backlogs of small, well-defined issues that would benefit from AI implementation without requiring senior developer attention.
Bug fixes, minor feature additions, refactoring tasks, and documentation updates are examples of issue types where Sweep's automated approach is most effective.
For larger, more complex issues involving significant architectural decisions, human-led development remains appropriate, but the long tail of smaller well-scoped issues is where Sweep's autonomous PR generation delivers the most time savings.
Sweep also integrates as a plugin for JetBrains IDEs including IntelliJ, PyCharm, and GoLand, delivering AI-driven code modifications, inline completions, test generation, and static analysis feedback directly in the development environment.
This dual-mode approach allows developers to use Sweep both for fully automated issue resolution through GitHub and for assisted development within their IDE. The IDE integration makes Sweep useful for developers who prefer active coding with AI assistance rather than fully delegating issues.
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