Automated QA & Regression Testing
Every push tested automatically — bugs caught before production, not by customers.
Automated QA & Regression Testing
Overview
We replaced slow manual regression testing with an automated suite that runs on every push, cutting a full regression cycle from hours to minutes. Bugs are now caught pre-production instead of being discovered by users, and critical failures block the deploy before they ship.
The Challenge
What needed to change
Manual regression testing was slow and inconsistent, and full coverage was simply infeasible under release deadlines. Testers checked what they had time for, which meant gaps — and bugs slipped through those gaps into production. Each production bug cost engineering time to triage and damaged user trust, the most expensive kind of defect. Without automation, test quality depended on who was testing and how much time was left, not on a reliable process.
Our Approach
How we engineered it
We built an automated suite on Playwright and Jest, orchestrated through n8n and CI so testing happens on every push without anyone remembering to run it. The suite posts a clear pass/fail summary to Slack and blocks deploys on critical failures, making the pipeline the gatekeeper instead of a human checklist. For new flows, we use AI-assisted test generation to produce a starting point of coverage, so writing tests is no longer the bottleneck that lets coverage slip. This shifts bug detection left — to pre-prod, where fixes are cheap.
What We Built
The systems behind the result
End-to-end and unit coverage
Playwright drives real browser flows and Jest covers units, giving regression testing that exercises the app the way users actually do.
Run on every push
The full suite runs automatically on every push through CI, replacing pre-release-only testing with continuous verification.
Deploy-blocking gates
Critical failures block the deploy outright, so a regression cannot reach production just because a release was due.
Slack pass/fail reporting
Each run posts a concise pass/fail summary to Slack, giving the team immediate visibility without digging through CI logs.
AI-assisted test generation
New flows get generated test coverage as a starting point, removing the writing-tests bottleneck that used to leave coverage gaps.
The Impact
Results after launch
for a full regression cycle
automatically tested, instead of pre-release only
bug detection instead of discovery in production
Tech & Why
The stack, and the reasoning
Playwright and Jest are the proven standard for reliable end-to-end and unit testing, which is what you want guarding production. Orchestrating through n8n and GitHub Actions makes testing an automatic part of the pipeline rather than a manual ritual, and Claude-assisted generation keeps coverage growing as the app does. The result is a process whose quality does not depend on deadline pressure.
Your project
What should we build for you?
30 minutes. Tell us what you're building and we'll map exactly what it will take.
Book a Strategy Call
