Define test personas, emails, and IDs once and reference them across every plan with {{data.X}}. Static for stability, Dynamic for per-run uniqueness, pipeline-shared values for multi-step flows, frozen snapshots in every run report.
Set up per-project test environments and run the same test plans against prod, staging, uat, and PR previews with no plan edits. Each env carries its own URL, notifications, cookies, and proxy country.
We ran Claude Opus 4.7 and OpenAI GPT-5.5 through the same Playwright script generation pipeline across hundreds of generation cycles. Here is what the data says about speed, cost, and reliability for AI-driven E2E test authoring.
Anthropic shipped Claude Opus 4.7. OpenAI shipped Codex 5.5. We've been building Test-Lab features with both for the last few weeks. Here is what actually changed, where each one shines, and how the new design and image features fit in.
Replay any AI browser test run inside Test-Lab with the embedded Playwright trace viewer. Walk the action timeline, inspect DOM snapshots, network calls, and console logs without ever downloading a trace.zip.
Generate real Playwright tests from one AI run, heal them when the UI shifts, refine them with chat. A practical fix for flaky tests at a fraction of the cost of running AI on every CI build.
We ran 11 frontier models against the same hardened production plan through our internal benchmarking harness. Here are the pass rates, durations, and costs that matter for AI driven browser automation.
Manual testing costs more than you think. Automation costs less than you fear. Here's the actual data on what each approach costs, catches, and misses.
Flaky tests waste 2-5% of your engineering time and erode trust in your CI pipeline. Here's how to find them, fix them, and stop them from coming back.
Most startups skip testing because they think it slows them down. The data says the opposite. Here's how to add automated QA without hiring a QA team or slowing your release cycle.