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Sweep

AI coding agent built for JetBrains IDEs

coding#ai-coding#jetbrains#code-completion#developer-tools
Free plan Claimed Teams
Toolglade’s take

Sweep is a strong pick if your team already works in JetBrains IDEs, where its PSI-aware indexing and next-edit autocomplete feel native rather than bolted on. It is a smaller player than Copilot or Cursor, and its JetBrains-only focus is both its strength and its limit: developers in VS Code or other editors will not benefit. The credit-based pricing is affordable, but heavy agent usage can consume credits quickly, so watch your allocation.

About Sweep

Sweep is an AI coding agent designed specifically for JetBrains IDEs, combining a fast next-edit autocomplete driven by a small custom model with an agent that can edit across multiple files to handle refactors, bug fixes, and code review. It indexes the IDE's Program Structure Interface for code-aware suggestions and connects to GitHub so it can read issues, create branches, and open pull requests. In early 2026 the company released an open-weight 1.5B next-edit model. Sweep is best for teams standardized on JetBrains and is priced on affordable credit-based tiers with a free option for open source.

Sweep began in 2023 as a GitHub bot that turned issues into pull requests, launched through Y Combinator's Summer 2023 batch by former Roblox engineers William Zeng and Kevin Lu. Since then the product has narrowed its focus to deep integration with JetBrains IDEs such as IntelliJ IDEA, PyCharm, WebStorm, GoLand, PhpStorm, Rider, and CLion, where it indexes the Program Structure Interface so it understands classes, methods, and variables the way the IDE does. The product combines two experiences. A low-latency next-edit autocomplete, powered by a small custom model, predicts your next change as you type, while a broader agent can plan and edit multiple files to complete refactors, fix bugs, and respond to review feedback. In February 2026 Sweep released an open-weight 1.5B-parameter next-edit model that the team says punches above its size on next-edit benchmarks while remaining small enough to run locally. Sweep sits in a crowded field alongside GitHub Copilot, Cursor, and other agentic coding tools, but its differentiator is a JetBrains-first design rather than a VS Code fork. That makes it most compelling for teams already standardized on JetBrains, and less relevant for developers who live in other editors.

TL;DR

Sweep is an AI coding agent purpose-built for JetBrains IDEs, combining fast next-edit autocomplete with an agent that edits across files and connects to GitHub. It indexes the IDE's Program Structure Interface for code-aware suggestions and released an open-weight 1.5B next-edit model in early 2026. Pricing is credit-based and affordable, with a free tier for open source. It is best for JetBrains-standardized teams and less relevant for VS Code users.

Company overview

Sweep was founded in 2023 by former Roblox engineers William Zeng (CEO) and Kevin Lu (CTO) and launched through Y Combinator's Summer 2023 batch. It started as a GitHub bot that turned issues into pull requests.

The company has since focused on a JetBrains-first coding assistant. Early reporting indicated a seed round of about $2 million from investors including Goat Capital and Replit CEO Amjad Masad; larger later rounds are not clearly disclosed for the coding-agent entity, so treat funding figures cautiously and verify with the company.

Product features

Sweep offers next-edit autocomplete powered by a small custom model, plus an agent that can plan and edit across multiple files for refactors, bug fixes, and review. It indexes the JetBrains Program Structure Interface so it understands code structure directly.

It integrates with GitHub to read issues, create branches, write code, and open pull requests, extending the workflow from the IDE to the repository.

Target market

Software teams and individual developers who work primarily in JetBrains IDEs and want AI assistance that feels native to that environment, including startups and enterprises standardized on IntelliJ, PyCharm, or similar.

Buyer personas

End users

Developers writing and refactoring code in JetBrains IDEs who want faster autocomplete and an agent for larger tasks.

Buyers

Engineering managers or team leads standardizing tooling for JetBrains-based teams.

Key influencers

Senior engineers and tech leads who evaluate coding assistants and care about code-aware quality.

Ideal customer profile

Small-to-midsize engineering teams and startups already committed to JetBrains IDEs who want an affordable, native AI coding agent.

Funding & performance

Early reporting indicated a seed round of roughly $2 million (investors including Goat Capital and Replit CEO Amjad Masad) at around a $25M post-money valuation, plus standard Y Combinator backing. Larger subsequent rounds are not clearly disclosed; verify current funding with the company.

Pros & cons

Pros

  • Deep, PSI-aware integration purpose-built for JetBrains IDEs
  • Fast, low-latency next-edit autocomplete
  • Agent can edit multiple files for larger tasks
  • GitHub integration from issue to pull request
  • Affordable credit-based pricing with a free tier for open source
  • Released an open-weight next-edit model developers can inspect

Cons

  • Limited to JetBrains IDEs, no VS Code or other editor support
  • No public transcription-style API for external integration
  • Smaller ecosystem than Copilot or Cursor
  • Heavy agent use can burn through monthly credits
  • Fewer independent long-term reviews than larger rivals
  • Best value depends on you being a JetBrains user already

Pricing plans

Open Source / Free
$0 / month
  • Free access for open source projects
  • Next-edit autocomplete
  • Limited agent usage
Basic
$10 / month
  • Unlimited autocomplete
  • Agent credits
  • Rolling 30-day credit window
Pro
$20 / month
  • Everything in Basic
  • About $20 of included API credits
  • For power users
Ultra
$60 / month
  • Higher credit allocation
  • Maximum agent usage
  • For heavy daily use

Key features

Team collaboration
Integrations
JetBrains IDEs, IntelliJ IDEA, PyCharm, WebStorm, GitHub
Input types
text, code
Output types
code
Best For
JetBrains-based teams, next-edit autocomplete, multi-file refactors, GitHub issue-to-PR workflows

Compare key features

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Feature
Sweep
Zencoder
Augment Code
Pricing
Freemium
Freemium
Paid
Free plan
Yes
Yes
No
Free trial
No
Yes
Yes
API
No
Yes
Yes
Team support
Yes
Yes
Yes

Frequently asked questions

Which IDEs does Sweep support?+

Sweep is built for JetBrains IDEs, including IntelliJ IDEA, PyCharm, WebStorm, GoLand, PhpStorm, Rider, and CLion. It does not support VS Code or other editors.

Does Sweep work with GitHub?+

Yes. Sweep can connect to GitHub to read issues, create branches, write code, and open pull requests, in addition to its in-IDE features.

Is there a free version of Sweep?+

There is a free tier, and Sweep offers free access for open source projects. Paid tiers add more agent credits and heavier usage.

What is the next-edit model Sweep released?+

In February 2026 Sweep released an open-weight 1.5B-parameter model focused on predicting your next edit. The company reports it performs strongly on next-edit benchmarks while being small enough to run locally.

Who is behind Sweep?+

Sweep was co-founded by former Roblox engineers William Zeng and Kevin Lu and went through Y Combinator's Summer 2023 batch.

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