PolyCheck FAQs

Question 1

How does PolyCheck ensure accurate and relevant issue detection?

Accepted Answer

It executes 3 parallel AI analyses (bugs, security, style), performs static AST analysis, and augments AI prompts with best practice patterns via its RAG system. Intelligent deduplication and fuzzy matching prioritize the most critical issues.

Question 2

What is PolyCheck?

Accepted Answer

PolyCheck is an intelligent, multi-language code analysis tool that combines AI-powered insights from Groq LLM, static AST analysis, and Retrieval Augmented Generation (RAG) to provide comprehensive code reviews for bugs, security, and style.

Question 3

Which programming languages does PolyCheck support?

Accepted Answer

PolyCheck supports 8 popular programming languages: Python, JavaScript, TypeScript, Java, Go, Rust, C, and C++.

Question 4

What kind of AI powers PolyCheck's analysis?

Accepted Answer

PolyCheck leverages the high-performance Groq LLM to simultaneously conduct its bug, security, and style analyses, ensuring rapid and in-depth code assessments. It also includes an automatic fallback model for reliability.

Question 5

Can PolyCheck integrate with existing development workflows?

Accepted Answer

Yes, PolyCheck offers a comprehensive REST API for seamless integration and a JSON-RPC 2.0 MCP Server, allowing other AI clients (like Claude) to leverage its analysis capabilities. All results are persistently stored in MySQL.

PolyCheck

PolyCheck

Key Features

Use Cases

Key Features

Use Cases