auto-code-review

Automated code review enforces a pipeline across security, performance, and quality for Python pull requests. It detects secrets, insecure dependencies, and common vulnerabilities while evaluating type safety and efficiency to yield structured markdown guidance.

Reviewing branch diffs and commits requires orchestrating a pipeline that checks security, quality, and patterns. It detects secrets and common vulnerabilities across Python projects, APIs, and services, yielding a structured markdown summary with actionable feedback.

Automated code review works with Python projects, APIs, and services within PortKit. It orchestrates a pipeline evaluating security, quality, performance, and patterns, assisting reviewers to surface critical issues quickly before merging.

To run a targeted code review, specify the files, branch, base_branch, and commit_sha as input. The pipeline evaluates security, quality, performance, and patterns, yielding a structured markdown review summary with actionable guidance.

The code review pipeline operates within PortKit and focuses on Python projects, APIs, and services. It handles specified files, branch diffs, and commits, generating structured markdown output, though its scope is limited to these environments.

Automated code review detects secrets, insecure dependencies, and common vulnerabilities during pull request evaluation. It enforces security, quality, and performance checks to surface critical issues early and improve code quality before merging.