Repository History

4 repositories tagged with Code Analysis

Topic: Code Analysis
CodeGraph: Supercharge AI Coding Agents with Semantic Code Intelligence

CodeGraph: Supercharge AI Coding Agents with Semantic Code Intelligence

CodeGraph is a powerful, pre-indexed code knowledge graph designed to enhance AI coding agents like Claude Code, Cursor, and Codex. It significantly reduces token usage and tool calls, offering a faster and more cost-effective way for agents to understand codebases. This 100% local solution provides semantic code intelligence, improving agent efficiency and accuracy.

Analyzed May 25, 2026
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Graphify: Transform Your Codebase into a Queryable Knowledge Graph

Graphify: Transform Your Codebase into a Queryable Knowledge Graph

Graphify is an innovative AI coding assistant skill that converts any codebase, documentation, and even multimedia files into a queryable knowledge graph. This powerful tool allows developers to navigate complex projects by querying relationships between components, rather than manually searching through files. It integrates seamlessly with popular AI assistants, providing deep insights and streamlining development workflows.

Analyzed May 19, 2026
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FuncVul: Function-Level Vulnerability Detection with LLMs and Code Chunks

FuncVul: Function-Level Vulnerability Detection with LLMs and Code Chunks

FuncVul is an innovative model designed to detect vulnerabilities at the function level in C/C++ and Python code, addressing a critical gap in software supply chain security. By leveraging large language models (LLMs) and a code chunk-based approach, FuncVul significantly improves the precision of vulnerability identification. The model demonstrates superior performance compared to existing state-of-the-art methods, achieving high accuracy and F1 scores across various datasets.

Analyzed Nov 10, 2025
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Repomix: Efficiently Prepare Your Codebase for Large Language Models

Repomix: Efficiently Prepare Your Codebase for Large Language Models

Repomix is an innovative tool designed to package your entire codebase into a single, AI-friendly file. This makes it incredibly easy to feed your projects to various Large Language Models (LLMs) and other AI tools, streamlining code analysis and interaction. It supports a wide range of AI platforms, enhancing developer workflows.

Analyzed Oct 11, 2025
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