You are integrating Claude Code into your Continuous Integration/Continuous Deployment (CI/CD) pipeline. The system runs automated code reviews, generates test cases, and provides feedback on pull requests. You need to design prompts that provide actionable feedback and minimize false positives. Your automated review calls the Claude API for each PR, using tool_use with a `report_findings` tool that returns a JSON array of finding objects (each with `file_path`, `line_number`, `severity`, `category`, and `description`). During testing on a large PR touching 30+ files, the response hits the `max_tokens` limit and the output is truncated mid-JSON, causing your pipeline's parser to fail. What is the most effective way to handle this?
Select one answer.
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