AI Writes Tests Cheaply, But Your Team Bears the Long-Term Maintenance Cost

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AI tools can rapidly generate test automation code — including page objects, fixtures, and assertions — dramatically reducing the initial effort required. However, the real cost emerges after tests enter the repository, as teams must validate selector durability, assertion quality, and data safety over time. AI-generated tests also frequently pass locally but fail in CI environments due to missing context around Node versions, feature flags, browser builds, and resource limits. Reviewers of AI-generated tests must prioritize intent — asking what product risk is reduced and whether a test genuinely catches failures — rather than focusing only on syntax. As test generation becomes nearly free, teams risk accumulating hundreds of low-quality tests, making restraint and architectural discipline more critical than ever.

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