You are integrating Claude Code into your Continuous Integration/Continuous Deployment (CI/CD) pipeline. The system performs automated code reviews, generates test cases, and gives feedback on pull requests. You need to design prompts that deliver actionable feedback and reduce false positives.
Your test-generation process creates unit tests for new code, but reviews show that 55% are low-value: trivial assertions that merely confirm functions do not throw exceptions, tests that duplicate existing coverage, or tests that disregard your team’s fixture conventions.
How can you reduce the rate of low-value tests being generated in the first place?
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