Code Review FAQs

Question 1

Which LLM providers are supported?

Accepted Answer

Code Review supports multiple leading LLM providers, including OpenAI, Anthropic, and Gemini, allowing you to choose the best model for your needs and budget.

Question 2

Can I review specific files or focus on particular areas?

Accepted Answer

Yes! Code Review allows you to specify which files to review, the file types to include, the level of detail (basic or detailed), and the areas of focus (security, performance, quality, maintainability) to tailor the analysis to your specific needs.

Question 3

What is Code Review and how does it work?

Accepted Answer

Code Review automates the code review process by using Large Language Models (LLMs) to analyze code, identify potential issues (security, performance, quality, maintainability), and provide actionable recommendations for improvement.

Question 4

What type of issues can Code Review identify?

Accepted Answer

Code Review can detect a wide range of issues, including security vulnerabilities, performance bottlenecks, code quality problems, and maintainability concerns. It provides severity ratings and specific line numbers for each issue.

Question 5

Does Code Review support large codebases?

Accepted Answer

Yes, Code Review handles chunking for large codebases using Repomix to flatten the repository structure, ensuring comprehensive analysis even for complex projects.

Code Review

Code Review

Key Features

Use Cases

Key Features

Use Cases