semcod

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

Closed-loop automation across semcod/ repositories.

A complete toolkit for validating LLM-generated code

NLP2CMD - Transforms natural language into domain-specific commands (SQL, Shell, Docker, Kubernetes) using a multi-layered detection pipeline and thermodynamic optimization.

Reusable Python SDK for the NLP2DSL platform

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

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

Code duplication analyzer and refactoring planner for LLMs

Text-interface LLM control plane for semcod/coru shell automation (pair with gillm for GUI).

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

✓ DoMD - Do Markdown Docs - automatically detect, run and show working commands in DONE.md and errors in TODO.md markdown files

Historical CPU, memory, I/O, energy and duration estimates for ticket-bound URI processes

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

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

Pyqual Demo

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