Over the years, I've seen the same pattern: engineering teams ship code anxiously, not knowing if their tests are enough. QA becomes a bottleneck. Flaky tests erode trust. Production incidents happen because no one had objective data to say "don't ship yet."
The expensive failure modes aren't in the tests themselves. They're earlier — a vague acceptance criterion, an oversized story nobody wants to split, a BDD scenario that drifts into widget language before anyone notices.
fayazbuilds is where I build in public — AI tools for QA engineers, quality gates for the pull request, and reliability engineering for AI-driven systems. Every tool here is either live and working or honestly labelled as in design.