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AI in Testing: Real Uses vs Hype
12.1OverviewEvery generation of testing tools brings a silver bullet promise. In the 2010s it was "codeless automation." In the early 2020s it was…12.2What AI Does WellCodebase and repository analysis — AI excels at digesting large codebases. Given a repository, an LLM can map the architecture, list API…12.3What AI Does Not Do WellRecord-and-replay — Several tools promise to record user actions and generate maintainable tests. The recording works; the "maintainable"…12.4The Pragmatic ApproachAnti-Pattern: AI is either dismissed entirely ("I don't trust it") or adopted uncritically ("the AI generates all our tests now"). No…12.5Key Takeaways- AI is a power tool, not a replacement for thinking — effective QA in 2026 means directing AI and curating its output - Codebase analysis…