Why obfuscating Python for AI tools requires a different mental model than Java — and how .env handling becomes the load-bearing question.
Java vs Python: a different relationship with the workspace
Obfuscating Java for an AI assistant is — at heart — about producing a workspace that still compiles. The developer rarely runs the obfuscated workspace directly; they let the AI work in it, apply the changes back to source, and run the app from there. Compilation is the contract. If mvn test-compile passes after obfuscation, you're 95% done.
Python is a fundamentally different game. There is no compile step. The workspace's "validation" happens at runtime, when the developer fires up:
streamlit run dashboard.py
