been dealing with webkit rendering tests that fail randomly for months now. the issue was always the same—tests would pass in one environment and completely tank in another. so i decided to try a different approach instead of manually writing out all the browser automation logic from scratch.
i started by just describing what i needed in plain english: navigate to the page, wait for the dynamic content to load, check the render state, capture what’s there. instead of translating that into playwright code manually, i fed it into an ai copilot and let it generate the workflow structure.
the result was actually solid. the copilot understood webkit-specific behaviors without me explicitly coding them. it built in proper wait conditions, handled the asynchronous rendering, and created retry logic that actually helps with those flaky tests.
what surprised me most was how much less brittle the whole thing became. the generated workflow had safeguards i probably wouldn’t have included if i’d just written it myself. things like checking the dom state before interacting with elements, waiting for network activity to settle before assertions.
the real game-changer was being able to iterate quickly. i could tweak the description, regenerate the workflow, and test it in minutes instead of debugging code for hours.
got me thinking though—has anyone else had success turning plain english test descriptions into stable webkit automation? how much tweaking did you actually need to do afterward?