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Why you shouldn't use AI to write your tests

Why you shouldn't use AI to write your tests

People are starting to use AI to write their tests, with tools like Meta's TestGen. The rise of LLMs that write tests is both great and concerning. Quality TypeScript coverage can reduce the need for unit tests in some cases. Tests can serve as a form of communication in large organizations with shared code ownership. Vertical ownership and code organization can reduce the need for extensive testing.AI can be used to generate production-like inputs and translate acceptance criteria into high-level tests. It can also be used to write code that aligns with tests. AI writing tests for higher-level functionality can be more valuable than deriving tests from implementation.


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The FAUN watches over the forest of developers. It roams between Kubernetes clusters, code caves, AI trails, and cloud canopies, gathering the signals that matter and clearing out the noise.
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