The Test Framework Is Not the Product

Short summary

AI assistants can now generate entire browser test frameworks quickly, but the real bottleneck has shifted from creation to operation. Generated frameworks fail in the seams—fixtures, environment assumptions, test data conventions—that were never explicitly agreed upon. Teams optimizing for prompt pass rate instead of user journey risk end up with large suites that look productive but miss the transitions that actually matter.

• •AI-generated test frameworks shift the bottleneck from creation to ownership and maintenance
• •Generated systems fail in integration seams: fixtures, abstractions, environment assumptions, and conventions
• •Optimizing for output metrics (test count, prompt pass rate) produces weak proxies for real confidence

Generated with AI, which can make mistakes.