Lesson 1031 of 2116
AI Test Generation: Coverage Without Pretend Tests
AI generates tests fast — including tests that don't actually test anything. Disciplined adoption produces real coverage gains.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2test generation
- 3test quality
- 4mutation testing
Concept cluster
Terms to connect while reading
Section 1
The premise
AI test generation accelerates coverage; without discipline it creates false coverage that doesn't catch real bugs.
What AI does well here
- Use AI to generate test cases including edge cases humans might miss
- Validate test quality with mutation testing (do tests actually fail when code is wrong?)
- Maintain human review for critical-path test logic
- Track real bug catch rate, not just coverage percentage
What AI cannot do
- Trust AI-generated tests without quality validation
- Substitute AI tests for thinking about what to test
- Generate tests for behavior not yet defined
Key terms in this lesson
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