SweepAI coding assistant that turns bug reports and feature requests into pull requests.

4.5 (4)

Reviewed by Daniel Nikulshyn·Updated July 2026

Developer Tools AI Coding Assistant GitHub Integration Automation Code Review CI/CD DevOps

Overview

Sweep is an AI coding assistant designed for JetBrains IDEs, aiming to accelerate coding by turning bug reports and feature requests into pull requests. It utilizes custom Large Language Models (LLMs) for performance, price, and security, ensuring no code is retained by third parties. The tool features a 'Tab' model for suggesting precise code changes rapidly and offers autocomplete functionalities. Sweep supports all JetBrains IDEs, including IntelliJ IDEA, PyCharm, Android Studio, and more. It's praised for its productivity boost, speed, and usefulness within the JetBrains environment. Key features include context-aware suggestions by indexing the entire project, SOC 2 compliance for enterprise readiness, and a focus on privacy.

Key features

Issue-to-pull-request automation
Codebase-aware planning and edits
GitHub integration and CI awareness
Self-correction from test failures
Support for bug fixes and feature requests
Human-in-the-loop review workflow

Pricing

Model: Freemium
Category: AI Agents
Rating: 4.5 / 5 (4)

Use cases

Automate bug fix pull requests

Convert bug report issues into reviewable PRs by letting Sweep analyze the codebase, propose fixes across relevant files, and iterate based on CI test results.

Clear small feature backlog

Assign small-to-medium feature requests to Sweep so engineers can focus on higher-level design work while routine tickets are drafted into PRs for review.

Handle routine maintenance chores

Use Sweep to tackle repetitive maintenance tasks like refactors, dependency tweaks, or minor updates described in issues, reducing manual developer overhead.

Human-in-the-loop code changes

Keep developers in control by reviewing Sweep's PRs, providing feedback, and letting it self-correct until changes pass checks and meet team standards.

Pros & Cons

Pros

Turns issues into reviewable PRs automatically
Reduces time spent on small tickets and chores
Integrates into existing Git workflows
Iterates on feedback and CI results

Cons

Complex changes still need human guidance
Quality depends on clear issue descriptions
Limited usefulness on poorly documented codebases

Reviews

4.5

Average from 4 ratings.

Margaret Whitfield

Apr 3, 2026

Compared a few options

Evaluated this against two competitors. Where it wins: support for bug fixes and feature requests and iterates on feedback and CI results. On balance the feature set — especially self-correction from test failures — justifies the 5 stars for our use case.

Rina Desai

Nov 22, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is human-in-the-loop review workflow — handled better than most — and reduces time spent on small tickets and chores. Quality depends on clear issue descriptions is my one real gripe. Worth the time if this is your use case.

Leila Hassan

Oct 20, 2025

Use it every day

Honestly didn't expect to like it this much. Support for bug fixes and feature requests is exactly what I needed, and turns issues into reviewable PRs automatically. I do wish limited usefulness on poorly documented codebases, but I reach for it almost every day now and it just clicks.

Marcus Bell

May 30, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: issue-to-pull-request automation and reduces time spent on small tickets and chores. Where it lags: complex changes still need human guidance. On balance the feature set — especially human-in-the-loop review workflow — justifies the 4 stars for our use case.