AI coding tools tripled our team's output. They also tripled our regression risk.

The problem: AI-generated code is fast, confident, and often subtly wrong in ways that only surface in production. The usual fix — maintaining Playwright or Cypress suites — doesn't scale. Every UI change breaks something. Nobody has time to babysit tests.

So we built Toolbar.

The core idea: tests shouldn't be code you maintain. They should be behaviors you describe. "Test that checkout still works." "Validate signup after this PR." Toolbar builds the flows, runs them in a real browser, and auto-heals them as your UI changes.

What it catches that teams typically miss:

• Checkout flows broken after an unrelated refactor

• OAuth edge cases that only fail on mobile

• Regressions from AI code that looked fine in review

• Silent failures behind feature flags

• Production issues before users report them

If you're shipping fast with AI and QA is becoming the bottleneck — this is what we built. Happy to answer questions.

Hey — glad you're here.

Toolbar keeps your QA alive as your product evolves. Here's how to hit the ground running:

1. Describe your critical flows

Tell Toolbar what matters: "Test signup", "Validate checkout after this PR", "Make sure OAuth still works." No selectors. No code.

2. Connect your repo / CI

Go to Settings → Integrations to hook up GitHub. Toolbar runs automatically on every PR.

3. Set up production monitors

Mark your most critical flows as monitors. Get Slack or Linear alerts the moment something breaks — before your users report it.

Drop any questions in Team Chat — we're here.

— The Toolbar Team