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Notes on engineering, AI, hiring, and building systems that hold up in the real world.

As developers increasingly rely on AI-augmented workflows, proprietary SaaS codebases face a silent threat: IP drift. Copying code into consumer LLMs risks leaking core business logic into public training sets. This article outlines a pragmatic CTO framework to secure data using Enterprise AI Gateways, Zero-Data-Retention APIs, and local LLMs without hurting engineering speed.