Vibe Coding: Why AI-first developers are the new quants
How building with AI changes the game — and why the best coders now think like traders, not engineers.
For a decade, being a great developer meant knowing more — more syntax, more frameworks, more edge cases held in your head. AI collapsed that moat almost overnight. The scarce skill is no longer recall; it is judgment about what to build and how to verify it fast.
The quant parallel
Quants never win by hand-calculating faster than the market. They win by designing systems, managing risk, and compounding small edges across thousands of trades. AI-first developers work the same way: they orchestrate models, review output critically, and ship in loops instead of writing every line by hand.
Edge comes from taste, not typing
When generation is nearly free, the bottleneck shifts to specification and evaluation. Knowing exactly what "good" looks like — and being able to reject a plausible-but-wrong answer in seconds — is the new senior skill. That is a trader's instinct applied to code.
How I actually work
I treat every feature like a position: a clear thesis, a small first bet, and tight feedback before I size up. AI writes the first draft, I own the architecture and the tests, and I never merge anything I could not defend in a review. Speed without verification is just leverage without a stop-loss.
The developers who thrive in the next decade will think like investors and build like engineers. The tooling is already here — the mindset is the differentiator.