★ 4.9 | 19 pages | Category: AI Automation

AI Code Review Checklist - Template Pack

This template pack provides five ready-to-use AI code review checklists, each tailored for different review scenarios. Use them to ensure consistency, speed, and thoroughness across your team.

1. Basic Code Quality & Style

Covers naming conventions, formatting (PEP8, ESLint), comment quality, and basic logic errors. Ideal for daily pull requests.

2. Security & Vulnerability Scan

Includes OWASP Top 10 checks, input validation, authentication flaws, and dependency vulnerabilities (e.g., Snyk, Dependabot).

3. Performance & Efficiency

Focuses on algorithm complexity (Big O), database query optimization, caching strategies, and resource leak detection.

4. Test Coverage & Reliability

Verifies unit test coverage (>80%), integration test scenarios, edge case handling, and mocking best practices using Jest or pytest.

5. Architecture & Design Patterns

Assesses SOLID principles, separation of concerns, dependency injection, and microservices vs. monolith trade-offs.

Payment

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Frequently Asked Questions

Can I customize these checklists for my team?

Yes, each template is provided as an editable Markdown or JSON file, so you can add, remove, or reorder items to match your team’s standards.

Do these templates integrate with GitHub or GitLab?

They are designed to be used as standalone checklists, but you can easily convert them into pull request templates or CI/CD pipeline checklists.

What programming languages are covered?

The templates are language-agnostic, with examples and references for Python, JavaScript, TypeScript, Java, and Go.