Test your productthe way users use it.
Traceback's AI agents explore your web and mobile app, catch regressions on every pull request, and report each failure with evidence and a proposed fix.
Plain English
Describe a test in a sentence. There are no scripts to write or maintain.
Real browsers and devices
Web flows run in actual browsers. Mobile runs on real Android devices.
Security testing
Find vulnerabilities and security weaknesses in your app before they reach production.
Runs where you work
Trigger runs from pull requests, the CLI, Slack, MCP, or a schedule.
Tests that survive your redesign.Selectors heal mid-run.
When a class name shifts or a flow gets reordered, Traceback patches the selector, logs the resolution, and keeps the run going. Maintenance load doesn't grow with the suite.
- DOM, aria, text, and vision recovery layers
- Confidence-scored healing events on every run
- Smart retries that filter out flake
Real browsers. Real devices.One suite across both.
Web flows run in actual browsers. Mobile runs on real Android devices, including React Native apps. There's no simulation to hide the bugs you actually have.
- Web on any framework
- Mobile on real Android devices and React Native
- The same tests run on both surfaces
Every pull request, tested.Results land inline on the diff.
Traceback reads your code changes, generates tests, runs them, and returns results directly to your pull request and the web app.
- Runs against staging, previews, and production
- Failures become Linear or GitHub issues
- Parallel runs you can watch in real time
Let your coding agent test what it builds.Failures come back ready to act on.
Agents can run a flow, inspect the result, and use the failure report to decide what to fix next, instead of guessing whether a change worked.
- MCP server for Cursor, Claude Desktop, and Cline
- CLI and Slack slash commands
- Scheduled runs for nightly and release checks
Meet your AI QA agents
One platform.A team of AI QA specialists.
Lens
Reads your app the way a first-time visitor does, and writes down every place they have to guess.
Learn moreFrom connect to fixin three steps.
~/acme-web % npm i tracebackaiadded 1 package~/acme-web % tracebackai loginOpening app.traceback.cc to sign in…✓ Logged in
Questions, answered.
What does Traceback do?
Traceback tests your product like a user would. It runs through important flows, finds broken experiences, and returns clear reports that both engineers and coding agents can use to understand what broke.
What can I test with Traceback?
You can test web apps, mobile apps, staging environments, preview deployments, production flows, onboarding, checkout, dashboards, forms, account settings, and other key user journeys.
Do I need to write test scripts?
No. You describe the flow or product behavior you want tested. Traceback runs it, checks what happened, and gives back the result without requiring your team to maintain brittle scripts.
How is this different from Playwright or Cypress?
Playwright and Cypress are testing frameworks. Your team or your agent still needs to write, maintain, and debug the tests. Traceback is a product testing layer that can be used by humans and agents to run flows, inspect failures, and understand what changed.
Can Traceback run on pull requests or deployments?
Yes. Traceback can run against staging, preview deployments, production, or CI workflows so issues are caught before users hit them.
How do agents use Traceback?
Agents can use Traceback as a feedback loop while building. Instead of guessing whether a change worked, an agent can run a flow, inspect the result, and use the failure report to decide what to fix next.
What do I get when a test fails?
You get a clear failure report with the broken step, what Traceback expected, what actually happened, and the evidence needed to reproduce the issue. It is readable for humans and structured enough for agents to act on.
Find the broken flowbefore your users do.
Describe a flow in plain English, run it on your next pull request, and see what breaks first.
