You are incorporating 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 must design prompts that deliver actionable feedback while minimizing false positives.
A developer uses Claude Code to refactor a function during a development session. Before committing, they ask that same Claude session to review the code for issues. Later, an independent automated CI review finds several bugs that the same-session review missed.
What most effectively explains this discrepancy?
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