There's a real difference between using AI as a faster typist — autocomplete, chat-assisted edits, "fix this bug for me" — and delegating a bounded unit of work to an agent that plans, executes across multiple files, and hands you a diff to review. The first tier is now table stakes; every engineer I work with has a model open in a side pane, and it stopped being a differentiator the moment it became the default. The tiers above it — an agent working a scoped task end-to-end, or several agents running in parallel with their own permission boundaries — are where the actual leverage still lives, because almost nobody has restructured how they delegate work to get there.

As the person who sets AI-adoption standards for my org, I spend almost none of my time on prompting technique. I spend it on the guardrails: what an agent can touch unsupervised, what requires a human review gate before it ships, and what "done" has to prove before I believe it. This site's agent-readable rewrite — the notes, the structured data, the build-output bug above — was built the same way: scoped to specific files, verified against the existing type-check, lint, test, and build gates before anything shipped, with the plan surfaced for review rather than pushed silently. "I use AI" stopped being the differentiator. Whether you can hand an agent a boundary and a review bar — instead of still typing every line yourself — is the one that's left.