The original title is "AI For Test Generation: Where It Helps And Where It Lies"

Short summary

AI excels at generating test boilerplate and extrapolating boundary cases from existing tests, but fails when asked to infer contracts from function code—it tests what the function does, not what it should do. The solution: write test specifications first in plain language, then use AI to implement assertions and test bodies.

• •AI excels at generating boilerplate and extrapolating from existing tests; less effective at inferring contracts from code alone.
• •Core problem: AI-generated tests verify implementation behavior, not intended business logic, allowing bugs to ship.
• •Solution: write test contracts first (plain language specifications), then use AI to implement assertions and test bodies.

Generated with AI, which can make mistakes.