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.
A direct comparison of three AI testing platforms. Test-Lab.ai, Testim, and Mabl compared on test creation, self-healing, CI/CD integration, pricing, and who each one is actually built for.
Your team is shipping features, not writing test scripts. Here's how no-code test automation actually works in 2026, what the tools get right, where they fall short, and how to start without slowing down.