QA/Testing at Startups
Startups struggle to maintain quality when moving fast, especially with AI-generated code. Even with automated tests, critical bugs are often caught manually by customers or internal teams.
Background
This Hacker News thread discusses a classic startup engineering tension: how to maintain software quality (QA/testing) while moving fast, especially now that AI tools let teams generate code even faster.
- PMF = Product-Market Fit, the holy grail for startups; before achieving it, speed of iteration is often valued over stability.
- "Reag bugs" is likely a typo for "reg bugs" (regression bugs) — issues that reappear after a change that wasn't supposed to break anything.
- The commenter notes that even with automated tests, the most important bugs still get found by real users or manual testing by the team, not by test suites.
- The underlying question is whether traditional QA practices (CI/CD pipelines, integration tests, end-to-end tests) scale down sensibly for early-stage startups, or whether the cost of writing those tests outweighs the benefit when the product and its requirements are still changing rapidly.
- Hacker News (news.ycombinator.com) is Y Combinator's tech-news forum where engineers and founders debate tradeoffs like this in detail; the audience tends to be skeptical of dogmatic processes and interested in pragmatic, lean approaches.