AI · Quality · Engineering
Developers using Copilot, Cursor, and Claude Code ship features in hours that used to take days — but the quality processes weren't built for that speed. I'm an independent QA consultant, and I build the AI-powered gates that keep pace with how your team actually ships.
Practical notes for engineering leaders on shipping fast without shipping bugs.
Every couple of weeks: one idea, pattern, or teardown on AI-era quality — how fast-moving teams catch defects before customers do. Free, and no fluff.
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The build so far
How I can help
Tap a card to explore. Wherever you start, the goal is the same — quality gates that keep pace with how fast you ship.
Six AI tools across three families — before code is written, at the pull request, after tests run. Two are live and free to use right now.
Explore the toolkit →Runnable code for the hard problems — multi-tenant isolation, billing reconciliation, AI eval harnesses, CI quality gates. Not slides. Actual code.
View the work →Embedded QA engineering inside your team — your Jira, your GitHub, your CI. I install the quality gates and hand them over working.
See how to engage →Not sure where your quality gates leak? A 2-minute diagnostic shows where defects slip through — and what to fix first. Instant result.
Start the diagnostic →"The failure modes haven't changed. The speed at which they compound has. Building quality gates for teams that ship faster than their processes were designed for — that's the problem worth solving right now."
Skip the cold sales call. Start with the free diagnostic — it shows exactly where your quality gates are leaking. If it's a fit, we'll take it from there.
Take the free diagnostic →No agenda · No pitch · You get a usable result either way