Ito Code Review that Runs Your Code.

Ito's AI code review runs your code and thoroughly tests behavior on every PR. Posts back proof.

Connect your repo and Ito handles the rest: spinning up isolated environments, generating tests targeted to the exact code diff, and posting results directly in the PR thread with video and screenshots before anyone reviews a line of code.

No test scripts to write. No infrastructure to configure.

How It Works

1. Open a pull request
2. Ito spins up an isolated environment from your source, scoped to the diff
3. AI agents generate and execute tests targeted to what changed and can take direction from you
4. Results post directly to the PR as a comment: video recordings, annotated screenshots, and code-level bug reports with suggested fixes

No yaml. No test suites to maintain. No dedicated QA engineer required to get started.

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What You Get on Every PR

• 🎥 Video recordings of every test run
• :camera_with_flash: Annotated screenshots marking exactly where the UI broke
• 🐛 Code-level bug reports with severity classification and suggested fixes
• ✅ Pass/fail status checks on the PR
• 🔒 Isolated environments so every run is clean, reproducible, and ephemeral

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Built for Teams Shipping Fast

AI coding tools have dramatically accelerated how fast code reaches pull requests. Manual QA hasn't scaled with it. Ito is the independent validation layer that sits between git push and production — giving your team confidence that nothing broke, on every single PR, automatically.

Unlike AI copilots that help you write code, Ito watches what that code actually does and tells you when it's wrong.

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Zero Configuration. Instant Coverage.

Ito works with your existing stack. No test framework to install. No browser drivers to configure. No CI pipeline changes required.

• Supported: Web applications, APIs, React, Next.js, Vue, Angular, Rails, Django, Node.js, and more
• Works with: Any GitHub repository — public or private
• Runtime: Results in under 45 minutes per PR

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Data Privacy

Ito runs in isolated, ephemeral environments. Your source code is never stored after a run completes. All test execution data is scoped to your organization and never used to train models or shared with third parties.