TypeScript Async/Await: Definition, Syntax & Examples for QA Engineers
Three days before a release, a test suite that had been green for months started failing intermittently. Not every run — maybe one in six. The failure was always the same: an assertion against a value that hadn’t been set yet, even though the code…
Read MoreTypeScript Record: Typed Key-Value Collections Explained
If you’ve spent any real time writing TypeScript, you’ve probably typed Record<string, number> or Record<K, V> a hundred times without giving it a second thought. It’s one of those utility types that quietly earns its keep…
Read MoreTypeScript Functions: Typing Parameters, Return Types & Examples
TypeScript functions are where the language’s type system actually earns its keep on a day-to-day basis, and if you’ve spent any time reviewing pull requests on a mid-size TypeScript codebase, you already know the pain I’m talking about…
Read MoreTypeScript Set: Definition, Syntax, and Real-World Use Cases for Test Automation
I still remember the exact moment a TypeScript Set saved me from a genuinely embarrassing production bug review. We had a Playwright suite that was supposed to validate a list of unique transaction IDs coming back from a payments API, and…
Read MorePlaywright best practices: locators waits flaky tests
A Confession Before We Start This is a long, opinionated walk through Playwright best practices — specifically the three that cause the most pain when they’re gotten wrong: locators, waits, and flaky test prevention. Three years ago I inherited a…
Read MoreHow to Write Testable User Stories Using AI: Prompts, Templates & a QA Workflow
The Two-Line Ticket That Costs You a Full Sprint Day Every QA engineer I know has a version of the same story. A ticket lands in the sprint backlog. The title says something like “Improve checkout flow” or “Add filters to search…
Read MoreBuilding a Custom MCP Server for Playwright Test Data (2026 Guide)
If you have spent any real time running Playwright suites at scale, you already know that test code was never the hard part. The hard part was always test data. Flaky fixtures, stale seed files, hand-rolled faker scripts scattered across a dozen repos,…
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