Lucidity FAQs

Question 1

Which languages does Lucidity support?

Accepted Answer

Lucidity is language-agnostic, meaning it can analyze any language that your AI assistant understands. It focuses on identifying general code quality principles, rather than language-specific syntax.

Question 2

How does Lucidity integrate with my workflow?

Accepted Answer

Lucidity integrates seamlessly with AI assistants like Claude via MCP. It can analyze code changes directly from Git diff, making it ideal for pre-commit reviews. You can use it in your terminal or network via SSE transport.

Question 3

What is Lucidity?

Accepted Answer

Lucidity is an AI-powered tool that analyzes code changes to identify potential quality issues. It integrates with AI assistants via the Model Context Protocol (MCP) to provide structured, prompt-based feedback and suggestions for improvement.

Question 4

What is MCP, and why does Lucidity use it?

Accepted Answer

MCP stands for Model Context Protocol. Lucidity uses it to standardize communication between itself and AI coding assistants, ensuring structured data exchange and enabling effective prompt-based analysis.

Question 5

What kind of code quality issues does Lucidity detect?

Accepted Answer

Lucidity analyzes code across 10 critical dimensions, including unnecessary complexity, poor abstractions, unintended code deletion, security vulnerabilities, performance issues, code duplication, and test coverage gaps.

Lucidity

Lucidity

주요 기능

사용 사례

주요 기능

사용 사례