Canary

Canary is an AI QA engineer that automatically tests your code on every pull request — no brittle scripts, no manual QA required. Backed by Y Combinator, Canary integrates directly into your GitHub workflow, analyzes code diffs to understand intent, generates browser tests, and posts results as PR comments before you merge. Engineers at Google, AWS, DeepMind, Morgan Stanley, and Windsurf trust Canary to ship with confidence.

Key Features:

• Automatic PR Analysis — Canary activates instantly when a pull request is opened, understanding the intent of your changes and the affected user workflows.
• AI Test Generation — Generates comprehensive test suites from code changes automatically, eliminating the need to write repetitive unit, integration, or Playwright tests manually.
• Parallel Browser Execution — Runs generated tests in real browsers in parallel and drops live execution recordings directly into your PR as comments.
• Pass/Fail Reporting — Posts a final status report of passed and failed tests, including video recordings for every failure, so you know exactly what broke before merging.
• Session Replay for Bugs — Click any failure to see the exact error and a session replay of what went wrong, making debugging fast and precise.
• On-Demand Tests from PR Comments — Trigger a specific test directly from a PR comment by setting the intent and burner details, enabling instant ad-hoc test runs.
• CI/CD Pipeline Integration — Catches regressions in your CI/CD pipeline so developers can focus on building features rather than writing tests.
• Built for Developers, QA, and PMs — Canary serves the entire product team, helping developers eliminate manual testing, QA engineers scale coverage, and product managers ship bug-free products.

To get started, request early access on the Canary website, connect your GitHub repository, and Canary will begin analyzing pull requests and running tests automatically on every code change.