NewTraceback is officially out of public beta and generally available.Get started

The agentic quality
assurance platform.

Traceback catches regressions across key user flows and gives your team the clarity to fix issues before users feel them.

Contact sales

Works across your stack

 

Product

Everything your team needs to ship with confidence.

Computer use

AI controls the browser like a person would

No selectors, no scripts. A virtual cursor and keyboard navigate and interact with your product the same way a person does. The agent sees the rendered screen and decides what to do next.

Navigateto /checkout
Click"Confirm order"
Assertorder confirmation visible

CI integration

Every pull request, tested automatically

Tests run on every push and post results directly back to the PR. Your team sees pass and fail before anything merges.

3

Tests passed

0

Failed

8.2s

Run time

Reliability

Tests that fix themselves

When your UI changes, tests adapt. No brittle selectors or broken flows waiting to be noticed.

Auto-healed · 0 broken tests

Live viewer

Watch every step as it runs

A real-time run viewer shows the agent navigating your product step by step, with a full replay once the run is complete.

Navigate to /shop
Click "Add to cart" on Wireless Headphones
Navigate to /cart
Clicking "Proceed to checkout"

Issue tracking

Failures become trackable work

Create Linear issues from failed runs automatically. They close when the test passes again.

LIN-847 opened from run #147

How it works

From connect to fix in one flow.

Three steps. Each builds on the previous. No yak-shaving in between.

STEP 01

Connect your product

Install the CLI, wire MCP, or open the web app. Point at anywhere you ship.

  • npm i tracebackai
  • Wire your coding agent via MCP
  • Or create a workspace in the web app
  • No SDK, no code changes
$npm i tracebackai
$tracebackai login
STEP 02

Create tests and run them

Describe a test in plain English. Watch it run in a real browser.

  • Describe tests in plain English
  • Point them at the flows that matter
  • Trigger from CLI, dashboard, PR, schedule, or MCP
  • Live viewer while it runs
Prompt

Ready
STEP 03

See issues and fix them

Failures land as issues with evidence and a proposed fix. Push to Linear or GitHub.

  • Severity-tagged issues with screenshots and logs
  • Operator narrative + proposed fix
  • Push to Linear or GitHub
  • Auto-closes when the test passes
CriticalIssue #142
2m ago

Checkout button unresponsive after sign-in

On the cached-session sign-in path, the Pay button doesn't fire its click handler. Auth state hydration likely races the button mount.

Platforms

Built for web and mobile testing.

Run Traceback where your users actually interact with your product, across desktop web, responsive views, and mobile experiences.

Why Traceback

Built differently than the old test stack.

Three things every team picks Traceback for. None of them require a new framework or a rewrite.

01Tests that hold

Self-healing keeps the suite green.

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 per run
  • Smart retries that filter out flake

Selector healed

button.btn-primary--blue-500
re-grounded via aria layer
button[aria-label="Submit"]
confidence0.94
02Real surfaces

Real browsers, real devices.

Web flows run in actual browsers. Mobile runs on real Android devices, including React Native apps. No simulation that hides the bugs you actually have.

  • Web on any framework
  • Mobile on real Android devices and React Native
  • The same test suite across both
Web
Mobile
03Engineer-first

Built for the loop you already work in.

Trigger runs from your editor through MCP, from a PR, from the CLI, from Slack, or on a schedule. Results post inline on the diff. Issues route into Linear or GitHub.

  • MCP server for Cursor, Claude Desktop, Cline
  • PR detection + inline diff comments
  • Slack slash commands and Linear push
CLI$ tracebackai run
Checkout flow — passed
PRon pull_request
12 flows — all green
MCPcursor → run-test
Login flow — passed
Slack/traceback run
Smoke suite — passed
Scheduleevery 30 min
Nightly run — passed
CLI$ tracebackai run
Checkout flow — passed
PRon pull_request
12 flows — all green
MCPcursor → run-test
Login flow — passed
Slack/traceback run
Smoke suite — passed
Scheduleevery 30 min
Nightly run — passed
CLI$ tracebackai run
Checkout flow — passed
PRon pull_request
12 flows — all green
MCPcursor → run-test
Login flow — passed
Slack/traceback run
Smoke suite — passed
Scheduleevery 30 min
Nightly run — passed

Autonomous testing suite

The autonomous testing suite.

Run Traceback from agents, pull requests, and CI to validate product flows before changes reach users.

Let your coding agent test what it builds.

Give agents a way to test what they build. They can run flows, inspect failures, and use results as feedback for the next fix.

Generate tests from code changes.

Test pull requests and preview deployments before code gets merged.

Run product checks on every release.

Add product-level testing to your release process, alongside unit tests, lint checks, and build checks.

FAQ

Questions, answered.

How Traceback fits into your team, your stack, and your agents.

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.

You can test web apps, mobile apps, staging environments, preview deployments, production flows, onboarding, checkout, dashboards, forms, account settings, and other key user journeys.

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.

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.

Yes. Traceback can run against staging, preview deployments, production, or CI workflows so issues are caught before users hit them.

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.

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.

Get started

Catch broken flows before users do.

Traceback tests your web and mobile product, surfaces what broke, and gives your team & agents the context to fix it fast.

Get startedContact sales