How machine intelligence gets built, sold and governed.
3 pieces
Evaluating current engineering discussions reveals a recurring pattern: teams slowing down AI adoption, waiting for the market to stabilize, or restricting tool usage to protect traditional code quality. This hesitation is often driven by four widespread assumptions.
Over the last 6 months, I built five personal projects from scratch — all running fully-functional, spanning a wide variety of domains: kissidougou.com: a fully automated AI news platform Locus: Yet another trading app Syntropy: the quest for a "free-lunch" strategy for retail trading.
You’ve been dying to get the funding to finally dismantle that monstrous, creaking legacy architecture. You know the one. The monolithic core that makes every new feature a Herculean effort, that ties your best engineers in knots with its strange, in-house protocols, and silently bleeds millions in