CODYGIENE

Software creation is changing much faster than software verification. AI coding agents can now generate, refactor and modify large amounts of production code in minutes. But review, security analysis, architecture validation and quality control have not scaled at the same rate. I became interested in a simple question: if AI can produce dramatically more code, what independently checks what was actually built before it reaches production? I did not want to build another agent that writes code and then tells the developer that its own output looks good. I wanted a separate, deterministic layer between code creation and production. That became CODYGIENE. It scans locally and evaluates observable engineering risks across security, performance, code health, AI-quality patterns and structural architecture. The longer-term opportunity is to make independent verification a standard part of the AI development loop: AI writes → CODYGIENE scans → AI or developer fixes → CODYGIENE verifies → ship. As code generation becomes increasingly commoditized, I believe trust and verification become more valuable.