// use cases
Your team ships fast.
QA hasn't kept up.
Find the situation that sounds like your last bad week.
No QA team. No problem.
The situation
You're a 5-person team moving fast. There's no dedicated QA role. Before every release, the developer who wrote the feature clicks through it themselves. This doesn't scale and catches maybe 40% of what breaks.
How Traceback helps
Traceback becomes your QA engineer. Describe the flows that matter — signup, checkout, onboarding — and they run automatically before every deploy. You stop being the last line of defense.
Never break main again.
The situation
A developer merges a PR that looks clean. Tests pass. Then a user reports the checkout flow is broken — a CSS class rename two weeks ago silently broke a Playwright selector, and nobody noticed until a customer did.
How Traceback helps
Traceback runs on every PR against the preview deployment. Results post as a status check. If checkout breaks, the merge is blocked. The developer sees it before it ever hits main.
Know before your users do.
The situation
Production is live. Something breaks quietly — a third-party payment script stopped loading, an auth edge case shows a blank screen, a config change silently broke email delivery. A user tweets about it four hours later.
How Traceback helps
Traceback runs smoke tests against production on a schedule — every 15 minutes for critical flows. When a test fails, a Slack alert fires immediately with what broke and a link to the full report.
AI agents that test their own work.
The situation
An AI coding agent writes a feature and deploys it to a preview URL. There's no human to click through and verify. The agent can't see the running application. Bugs ship silently.
How Traceback helps
The agent calls Traceback's MCP server: run_test → get_report → debug_failure. It reads the structured failure report with a fix suggestion and applies the fix before merging. No human in the loop.
Your signup and checkout work. Every time.
The situation
The two flows that kill your business if they break are signup and checkout. They touch authentication, email delivery, payment processing, and state management. One broken component across any of these and users churn silently.
How Traceback helps
Autonomous mode navigates these flows end-to-end — real browser, real form fills, real state. It catches broken email verification, payment form errors, redirect loops, and anything else a user would hit.
Refactor confidently. Tests adapt automatically.
The situation
You're migrating a component library, updating a design system, or restructuring state management. The behavior should be identical — but with hundreds of UI changes, how do you know nothing broke?
How Traceback helps
Deterministic tests with self-healing selectors adapt to UI changes automatically. HEALED steps tell you what changed without requiring test updates. You see a diff of selector changes, not a sea of red failures.
Which one
sounds familiar?
Book a demo and we'll walk through your exact case.
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