next-gen-code-graph 1.0.0

High-performance, multi-language code analysis engine with execution-aware context pruning.

🚀 Next-Gen Code Graph

Surgical Code Intelligence powered by Execution Pruning.

Next-Gen Code Graph is a high-performance, multi-language code analysis engine designed to bridge the gap between static AST indexing and dynamic runtime behavior. By combining Tree-sitter's precision with execution coverage analysis, it achieves 8.2x better token efficiency during code reviews by surgically pruning unexecuted "cold" branches from the context.

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✨ Key Features

• 🌐 23+ Language Support: Integrated grammars for Python, TypeScript, Kotlin, Go, Rust, C++, and more via a pluggable registry architecture.
• ✂️ Execution Pruning: Automatically prunes unexecuted code blocks from your analysis context using coverage.xml data, saving up to ~74% on LLM tokens.
• 📓 Jupyter Support: Direct parsing and indexing of .ipynb notebook cells.
• 🔌 One Install, Every Platform: Auto-configures as an MCP server for Cursor, Claude, Windsurf, Zed, and Continue.
• 🛰️ LSP Integration: Real-time symbol type resolution via Language Server Protocol.

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🛠️ Installation

# Clone the repository
git clone https://github.com/PiQuessen/next-gen-code-graph
cd next-gen-code-graph

# Install locally
pip install .

# Auto-configure your AI assistants
next-gen-graph install

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🚀 Usage

Indexing a Workspace

next-gen-graph index --path ./my-project

Performing a Surgical Review

# Analyze using execution data for maximum token efficiency
next-gen-graph review --coverage ./coverage.xml

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📊 Performance Benchmarks (The PiQue Project)

Metric	Standard Indexer	Next-Gen Code Graph	Improvement
Context Tokens	120k	14.5k	8.2x Reduction
Analysis Speed	~45s	~8s	5.6x Faster
Precision	Generic	Surgical	High

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🛡️ License

Distributed under the MIT License. See LICENSE for more information.

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Powered by PiQuessen Technologies. "Surgical precision for the modern engineer."