The quality layer between
your team and your users.

Autonomous AI testing, visual QA, and design accuracy checks that run on every change, so your users only ever see what works.

Works across your stack

 

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

Visual QA

Figma to code accuracy

Compare rendered components against design specs automatically. Drift is caught in review, not after launch.

2 visual differences detected

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.

01

Connect your product

Point Traceback at your production, staging, or local environment and start running tests immediately without installing anything or changing your stack.

Production URL
Staging environment
CLI (localhost)
No setup or SDK required
Productionyourapp.com
Connected
Stagingstaging.yourapp.com
Connected
GitHubrepo linked
Connected
Local CLIrunning
Connected

02

Tests run like a user

Traceback navigates your product, interacts with it, and evaluates real behavior in the browser using either flexible AI-driven execution or fully structured steps.

Autonomous runs that adapt and analyze
Deterministic tests with full control
Real browser interaction, not simulation
Works across full user flows
Test checkout flow
Login
Add to cart
Enter payment

03

See what broke

Every run returns clear, structured results showing what passed, what failed, and exactly where things broke so your team can move quickly without digging through logs.

Pass / fail status per test
Step-level breakdown
Clear failure reasons
Context from the actual run
Run #46
8p · 0f
Run #47
8p · 0f
Run #48
7p · 1f
failureExpected success modal, got error state
Homepage load
User login
Add to cart
Checkout

Built for how modern teams ship.

Traceback fits directly into your development workflow, testing changes as they happen and keeping results connected to the tools your team already uses.

01

Every pull request is tested automatically

Traceback reads your code changes, generates tests, runs them, and returns results directly to your pull request and the web app.

Triggered on every pull request
Results posted to GitHub
Pass and fail per change
No CI configuration required

02

Failures become trackable work

Create Linear issues directly from runs, link them to results, and move from detection to resolution without leaving your workflow.

Automatically creates Linear issues
Links back to failed runs
Resolves when tests pass
No manual logging

03

Run tests from anywhere

Trigger runs from the CLI, receive updates in Slack, and keep everything in sync inside the web app.

CLI, Slack, or web triggers
Run on demand or scheduled
Shared team visibility
Everything stays in sync

04

Full control over how tests run

Choose between autonomous and deterministic execution, control models, run tests in parallel, and inspect results in real time.

Autonomous and deterministic modes
Model selection and comparison
Parallel runs and cost visibility
Live run viewer and replay

Capabilities

Everything you need is already part of the system.

Execution

Autonomous and deterministic modes, parallel runs, live viewer, and full run replay.

Reliability

Self-healing tests, automatic retries, and continuous feedback loops reduce maintenance.

Integrations

GitHub, Linear, Slack, CLI, and workflow-native connections out of the box.

Agent tools

Authentication flows, credentials, and virtual environments built in.

Infra

Sandbox execution with full external service support.

Model layer

Model selection, comparison, and deeper analysis when needed.

What this saves your team

Less time lost to testing overhead, context switching, and slow feedback loops.

8+hrs/wk

Lost to engineering inefficiencies for most developers

30+min/day

Spent searching for answers and debugging context

30+min/day

Spent answering questions and sharing context

72%

Report faster test automation with AI-driven workflows

Testing overhead shows up in waiting on runs, rechecking flows, and chasing context across tools. Traceback pulls that work into one system.

What your team gets back

More time shipping, less time managing testing overhead.

01

Less manual QA

Release checks should not depend on someone clicking through the same flows by hand before every deploy. Traceback moves that work into a repeatable system that runs earlier and more consistently.

Reduce repetitive pre-release checks
Catch issues before they reach production
Spend less time retesting core flows

02

Faster feedback

When tests run closer to the change, teams get answers sooner. Traceback returns results directly to the places where work is already happening, so engineers can respond while context is still fresh.

Results come back to pull requests
Failures are easier to review and act on
Less time lost switching between tools

03

Less maintenance overhead

Traditional test suites tend to get heavier over time. Traceback keeps coverage easier to manage with plain-English inputs, self-healing behavior, and execution modes that fit the job.

Less brittle test maintenance
Fewer broken flows after UI changes
More coverage without the same upkeep

04

Cleaner handoff across the team

Testing is not useful if results stop with one person. Traceback keeps runs, failures, and follow-up connected so developers, founders, and product teams can move faster together.

Turn failed runs into Linear issues
Keep reports in the web app
Share status across Slack, GitHub, and your team

See how Traceback works on your product.

A short demo is enough to understand how it fits into your workflow.

Book a demoJoin waitlist