decker_dev

Absolutely agree. But I'd push this further: the real advantage isn't just applying expertise to prompts—it's recording the problem-solving process itself.

Think about it: when you (an expert) solve a bug, you're not just generating correct code. You're making dozens of micro-decisions about scope, trade-offs, and edge cases that an LLM won't know.

The gap between "I solved this issue" and "I can explain why I solved it THIS way" is enormous. Most devs only keep the former (the code), and lose the latter (the reasoning).

In the AI era, experts need tools that capture how they think, not just what they write. That changes the game from "LLM vs human" to "LLM + augmented human judgment."

The principal engineers who will win are those who build compounding knowledge of their own decision-making patterns.