Building the AI-powered QA Engineer for startups
Hey everyone!
I'm build an AI-native QA Engineer that think and tests like me(19yrs QA).
www.firstqa.dev
It connects to GitHub + Linear and covers the full workflow:
- Ticket review — before a dev writes a line of code, it flags requirement gaps, missing edge cases, and untestable acceptance criteria
- PR review — when code is submitted, it analyzes what changed, surfaces regression risk, and assigns a ship score
- Browser test run — spins up a real Chromium session against your staging environment and posts the results with a GO/NO-GO decision
One beta is a $30M ARR company using it daily in production. Built it solo in 5 months.
What does your QA process look like when you have no QA hire? Would you like to try?