code-review

Automate code reviews by applying a structured, rule-based process that audits spec compliance, testing, boundaries, security, readability, and simplicity across multi-file projects to generate objective quality assessments.

The LLM-as-Judge evaluation format is a deterministic process that audits code quality and produces a consistent JSON verdict containing the review level, identified issues, and a summary for automated CI gates.

Enforce TDD and spec compliance by running automated checks that verify each MUST requirement is implemented and confirm every source file has accompanying tests before generating a review report.

You can check boundary handling and security vulnerabilities automatically by evaluating edge cases like empty input and high load, and scanning for secure coding practices during the structured review process.

Automated code review works as a CI gate by outputting a structured JSON report with a defined level, issues, and summary, allowing pipelines to block merges based on objective quality thresholds.

Limitations of using an LLM to judge code readability and simplicity include its reliance on deterministic rule-based checks for function length and strong type usage, which may miss nuanced context-specific architectural decisions.