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.

Toonic — Universal TOON Format Platform for LLM-optimized file representations

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.

Zero-config AI cost calculator per commit/model with liteLLM

     

Regression Index — detect and measure code quality regressions between git versions

Generate the next 10 project tasks from project state, git history and an LLM prompt.

A complete toolkit for validating LLM-generated code

Intelligent LLM model router driven by real code metrics — successor to preLLM

Analyze test value, coverage, duplication, and generate LLM planfiles

Semantic compiler: Code → AST → CQRS Model → Workflow DAG → Proto/Schema

Bi-directional runtime reconciler and drift-aware state graph for full-stack systems

SUMD - Structured Unified Markdown Descriptor for AI-aware project documentation

Pyqual Demo

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

AI-powered Linux/Windows diagnostics and repair – audio, hardware, system issues