code-review-checklist

Automate structured code reviews by applying pre-implementation and post-implementation checks to evaluate value, quality, security, and architectural alignment. This generates formal findings with severity scales to guide UAT and ongoing QA.

Pre-implementation reviews require value statement assessments, plan completeness checks, and constraint compliance validation to ensure plans are clear, complete, and aligned with architectural constraints before coding begins.

Yes, this code review checklist integrates with eslint, prettier, and TypeScript alongside Python tools like ruff, flake8, and mypy to perform automated quality, security, and architectural compliance checks.

The best way to evaluate code post-implementation is running comprehensive security, performance, maintainability, and architectural compliance checks on implemented source code and system design to validate implementation quality.

Yes, you can use staticcheck for Go code review assessments. The skill leverages staticcheck alongside other linters to automate structured QA evaluations and enforce architectural compliance across your codebase.

You need a formal finding format with severity scales during post-implementation reviews when auditing code and architecture for security, performance, and maintainability to produce actionable, prioritized remediation items.