High-performance Python code flow analysis with NLP query processing - CFG, DFG, call graphs, and intelligent code queries
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Updated
Jun 18, 2026 - Python
High-performance Python code flow analysis with NLP query processing - CFG, DFG, call graphs, and intelligent code queries
Goal - Automated git push with enterprise-grade commit intelligence, smart conventional commit generation based on deep code analysis, and interactive release workflow management.
curllm - Intelligent browser automation with local LLMs (Qwen, Llama, Mistral) for data extraction and form automation using a dynamic LLM-DSL architecture without hardcoded selectors.
NLP2CMD - Transforms natural language into domain-specific commands (SQL, Shell, Docker, Kubernetes) using a multi-layered detection pipeline and thermodynamic optimization.
Zero-config AI cost calculator per commit/model with liteLLM
Closed-loop automation across semcod/ repositories.
Regression Index — detect and measure code quality regressions between git versions
     
Intelligent LLM model router driven by real code metrics — successor to preLLM
Visual Intent Contract Orchestrator: freeze project slices, evolve capsules, verify intent contracts.
Progressive algorithmization toolchain — from LLM to deterministic code, from proxy to tickets
Generate environment maps (services, artifacts, env vars) for LLM decision-making
Image to Layout — screenshot OCR and semantic UI reconstruction
High-performance Python code flow analysis with optimized TOON format - CFG, DFG, call graphs, and intelligent code queries
Static-analysis documentation generator for project portfolios — WordPress-ready markdown articles without LLM
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