See the failure live
Watch parallel workers, browser state, and logs while the suite is still active.
Live observability for Playwright tests
Debug failing Playwright tests before CI even finishes.
TestPulse gives engineering teams live visibility into Playwright runs and starts AI failure analysis while the rest of the suite is still running.
- Built for Playwright-heavy teams
- Works with GitHub Actions
- Works with GitLab CI
- Fits into existing CI pipelines
Why it matters
Most teams still debug Playwright failures after the run is over.
That means waiting for CI, downloading artifacts, replaying videos, and guessing what the browser did several minutes ago. TestPulse moves that work into the run itself.
Start AI triage immediately
TestPulse begins analyzing traces, logs, and DOM context as soon as a failure lands.
Use the remaining CI time
Teams can move toward a root cause and a candidate fix before the pipeline ends.
The magic moment
Fix failures before the pipeline ends.
TestPulse shifts debugging from a post-run activity to a real-time activity. The team does not wait for the suite to finish before understanding what broke.
Test fails
`payment.spec.ts` fails on worker 3 while three other workers keep running.
AI analysis starts
TestPulse reads logs, trace events, DOM snapshots, and browser metadata immediately.
Root cause identified
The likely issue narrows to a selector mismatch introduced by the latest pull request.
Suggested fix ready
The team gets a concrete locator update and commit context before the suite completes.
Pipeline finishes
Instead of starting the investigation now, the team already has the direction it needs.
Live incident timeline
Failure signal worker-3 failed
AI status Analyzing selector + DOM state
Likely root cause `getByRole()` name changed in checkout flow
Pipeline status 29 specs still running
Inside the workflow
TestPulse sits on top of CI and gives Playwright teams the context CI does not.
Keep GitHub Actions, GitLab CI, and the rest of your delivery workflow. TestPulse adds the observability layer: live workers, browser activity, artifacts, and AI triage that starts when the failure happens.
- Watch parallel Playwright workers in one live run grid
- See logs, traces, video, and runtime metadata in a single workspace
- Start investigating the first failure while later specs continue running
- Connect browser failures back to commits, pull requests, and suggested fixes
Feature set
Built for real Playwright debugging, not generic pipeline reporting.
Live test streaming
Watch active workers, current test names, and browser state while the CI job is still running.
Unified run timeline
Line up console logs, screenshots, traces, and videos on one shared investigation timeline.
Artifact aggregation
Pull the evidence out of CI attachments and into a single product surface that is actually usable.
Real-time AI triage
As soon as a test fails, TestPulse begins analyzing runtime data, logs, traces, and DOM context.
Multi-user debugging
QA, infra, and product engineers can review the same run together instead of forwarding artifacts around.
Failure explanation
Get grounded root-cause guidance for selector drift, timing regressions, and network instability.
Git-aware fix suggestions
Connect failures to commits, pull requests, and candidate patches so teams can move toward a repair quickly.
Product views
Believable product surfaces for a workflow that already lives in GitHub and CI.
Live run overview
See parallel workers, run progress, pull request metadata, and AI status on one screen.
Failure detail
Jump straight to the failed worker, inspect the failing step, and line up logs against browser evidence.
AI debugging workspace
Review live triage, check the evidence trail, and move from diagnosis to a suggested fix.
Why TestPulse
Better than artifacts. Better than generic dashboards. Built for Playwright runs.
| Capability | Traditional CI artifacts | Generic CI dashboards | TestPulse |
|---|---|---|---|
| Live browser visibility | After the run | Limited | Live during execution |
| Unified logs + video + trace | Manual download | Partial | Native unified view |
| Real-time failure analysis | No | No | Starts on first failure |
| Failure explanation | No | No | Root-cause guidance |
| AI-generated fix suggestions | No | No | Suggested patch flow |
| Built for Playwright | Not specifically | Not specifically | Playwright-first |
| Multi-user debugging | Ad hoc | Basic sharing | Shared live sessions |
Workflow fit
Trust signals for serious engineering teams.
TestPulse is designed to fit into the tools your team already uses. It adds observability and AI debugging without asking you to replace CI.
Built for Playwright-heavy teams
Works with GitHub Actions
Works with GitLab CI
Fits into existing CI pipelines
Designed for modern SaaS engineering teams
Built for pull request workflows
Access
Simple packaging for an early-stage developer product.
Start with the product, not a sales process. Teams can evaluate live observability and AI triage without reworking their CI stack.
Early access
Beta
For teams that want early product access and direct feedback loops with the TestPulse team.
- Core live observability
- Playwright run monitoring
- Direct product feedback channel
Best fit
Team
Custom
For engineering teams that need AI triage, shared debugging, history, and workflow depth.
- Live run streaming
- Real-time AI triage
- Collaboration and run history
- Git and CI workflow context
Enterprise
Enterprise
For larger organizations that need SSO, retention controls, security review, and custom integrations.
- SSO and access controls
- Retention and compliance options
- Custom deployment support
- Priority onboarding
FAQ
Questions teams ask before trying TestPulse.
Does TestPulse replace CI?
No. TestPulse sits on top of CI and acts as the observability and debugging layer for Playwright test runs.
Does it only work with Playwright?
The product is intentionally Playwright-first. That focus keeps the live views, AI triage, and debugging workflow specific and useful.
Can I use it with GitHub Actions or GitLab CI?
Yes. TestPulse is designed to fit existing CI systems such as GitHub Actions and GitLab CI rather than replace them.
Do I need to move my pipelines?
No. Teams keep their current pipelines and add TestPulse around those runs for visibility, artifact context, and AI analysis.
When does AI start analyzing failures?
As soon as a failure lands. TestPulse begins reading runtime evidence while the rest of the suite keeps running.
Can AI automatically fix tests?
It can explain likely causes and propose a candidate patch. Engineers still review and decide what to merge.
Can multiple engineers watch the same run?
Yes. Shared run visibility is part of the product value, especially during active release or incident investigation.
Do you store artifacts?
TestPulse is built to unify logs, traces, screenshots, and video, with retention and security controls depending on deployment and plan.
Start earlier
Understand the failure before the pipeline ends.
Join the beta to evaluate live Playwright observability, real-time AI triage, and a debugging workflow that fits into your existing CI stack.