Domain expertise has always been the real moat

2 hours ago

The primary challenge in software development has been building a mental model of the domain, not writing code.
Agentic AI decouples software creation from domain understanding, shifting focus to verifying correctness rather than implementation.
Domain experts without coding skills can use AI tools effectively by applying their knowledge to judge outputs.
Generalist engineers may struggle to assess correctness in unfamiliar domains, even with well-built software.
AI has devalued the skill of translating domain models into code but increased the value of deep domain expertise.
The most valuable individuals now combine domain knowledge with engineering skills to verify both code soundness and output accuracy.

Hasty Briefsbeta