CCA-F: Claude Certified Architect — Foundations

By Anthropic · Question Mode

QuestionQ128

Prompt Engineering & Structured Output

You are integrating Claude Code into your Continuous Integration/Continuous Deployment (CI/CD) pipeline. The system performs automated code reviews, generates test cases, and supplies feedback on pull requests. You need to design prompts that deliver actionable feedback while minimizing false positives.

In addition to your CI pipeline, your organization has enabled Claude's managed Code Review (via the Claude GitHub App) for this repository, and reviews run automatically on each PR. Reviews average 18 findings per PR. Developer feedback identifies three categories of unwanted noise:

  1. Style and formatting issues that your linter already enforces in CI
  2. Findings on auto-generated template code under src/gen/
  3. Rendering helper patterns that are intentional project conventions but are flagged because they resemble common anti-patterns

Only about 4 findings per PR are real logic bugs.

What is the most effective way to reduce this noise while preserving detection of real issues?

Explanation

Managed Claude Code Review uses a repository-root REVIEW.md for review-only guidance. It supports skip rules for paths and finding categories, including generated code and checks already enforced by CI, and it can require source file:line evidence before a behavior-related finding is posted. These targeted rules suppress the identified noise while preserving review of genuine correctness issues. Claude Code Code Review documentation

Learn more

Community Discussion

No comments yet. Be the first to start the discussion!