You are integrating Claude Code into your Continuous Integration/Continuous Deployment (CI/CD) pipeline. The system performs automated code reviews, creates test cases, and gives feedback on pull requests. You need to design prompts that give actionable feedback and reduce false positives.
Your automated review produces many findings per PR, but developer feedback indicates that about half are dismissed as “not worth addressing.” Analysis shows that dismissed findings are frequently technically accurate, but concern minor style preferences or patterns that are acceptable in your codebase.
Before introducing infrastructure complexity, which prompt-design change would most effectively reduce dismissals while preserving detection of genuine issues?
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