The Myth of Clean Code in AI

Experimentation vs. Production

In AI research, 'clean code' can sometimes be an obstacle. Rapid iteration, disposable notebooks, and quick experiments are the engine of discovery.

The Hybrid Approach

The art lies in the transition. Knowing when to stop hacking and start engineering is the defining skill of an AI Engineer. I advocate for a 'messy research, strict production' pipeline where prototypes are treated as disposable specifications for the final system.