High-performance Python code flow analysis with NLP query processing - CFG, DFG, call graphs, and intelligent code queries
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Updated
Jul 29, 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.
Closed-loop automation across semcod/ repositories.
Regression Index — detect and measure code quality regressions between git versions
High-performance Python code flow analysis with optimized TOON format - CFG, DFG, call graphs, and intelligent code queries
WUP (What's Up) - Intelligent file watcher for regression testing in large projects
Cross-layer dependency correlation and safe refactoring planner for applications.
Declarative quality gate loops for AI-assisted development
Intelligent LLM model router driven by real code metrics — successor to preLLM
Infrastructure anomaly detection and monitoring tool
AI-powered Linux/Windows diagnostics and repair – audio, hardware, system issues
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