AI can now write, test, and ship code with almost no human keystrokes — so why does developer trust in its output keep falling even as adoption climbs past 84%? The answer isn’t a tooling problem, it’s a taste problem.
AI isn’t eliminating developer work—it’s moving it. Time saved writing code now reappears in specifying intent, assembling context, supervising agents, verifying changes, and owning the outcome. AI mostly reshuffles a developer’s day away from typing and toward judgment calls: what to delegate, what to verify, what to reject outright.
Drawing on real WordPress examples — the “almost right” bug that passes every glance-test, the security debt hiding in AI-suggested dependencies, the new bottleneck of feeding an agent the right context — we’ll unpack what’s actually changing in developer experience, and why the developers who thrive won’t be the ones who prompt best, but the ones with the sharpest taste.
You’ll leave with a practical model for working with AI—specify, delegate, verify—and a clear vision of the developer’s future role: writing less code, perhaps, but making more consequential decisions.
