Risk-scoped Playwright or Pytest coverage with the evidence discipline of a release: traces, four reporters, artifact retention, and a green gate on every PR — built in your repo, your CI, your conventions.
▸ the 45-second version — in my own voice
Coverage decided by release risk, not habit. The matrix is a document your team maintains.
Page Object Model, fixtures, data-driven where it pays; trace-on-retry and four reporters standard.
GitHub Actions (or your CI) running on every push/PR with artifact retention — a green badge that actually means something.
Quarantine lane, retry policy, and a weekly triage ritual — the discipline that keeps red meaningful.
fixed scope · quoted after a week-1 risk map · your repo, your CI
Risk map of your release path, honest read on the current suite (including whether it's worth saving), and a prioritized plan you own — the fastest way to a concrete quote.
Start here — get a quote →The flake protocol installed on your existing suite: quarantine lane, retry policy, isolation fixes — red becomes meaningful again.
Get a quote →Risk-scoped Playwright/Pytest coverage with traces, reporters, CI wiring, and the discipline documents your team maintains after I leave.
Get a quote →fixed-price starting points from $497, plus a custom quote for larger or unusual builds — scoped in writing before we start, so you pay for your problem, not a package · every engagement ends with evidence you keep — and if the scoping shows I can’t help, I’ll say so and it costs nothing
A live suite ran 500+ tests against real trading workflows — but red had stopped meaning anything, so the team had learned to re-run until green. That's how a real regression ships.
~10% flake rate · 45-minute runs · red ignored by default.
<1% flake · 8-minute runs · a quarantine lane so red blocks the merge.
Diagnosed source (shared state, timing, ordering) and fixed isolation — no rebuild. Prior full-time role; figures self-reported.
Playwright for new builds — speed, tracing, and parallelism. I've shipped 300+ test Selenium frameworks at Fortune 50 scale, so migrations are familiar territory.
Usually yes — at HighStrike I cut a live suite's flake rate from 10% to under 1% with retry logic and isolation fixes. Rebuild is the last resort, not the default.
k6 baselines on the critical path are part of the standard engagement; deeper performance work is scoped separately.
Scoped and quoted in writing after a short call — fixed scope, not open-ended hours. Most engagements start with a one-week audit, and that fee credits into the build if you continue.
A quarantine lane and the first stable CI run typically land within about two weeks; from there red means red and the suite keeps getting faster.
The suite and your CI config live in your repo, documented, with a coverage and flake report — nothing retained on my side after handoff.
You leave with a concrete plan either way — the call is free and the plan is yours.