Vibe Coding Is Already 'Passe': Here's What's Replacing It
Andrej Karpathy coined the term "vibe coding" in February 2025, describing how you tell an AI what you want in plain language, and it writes, tests, and refines the code. A year later, in February 2026, Karpathy himself called the term "passe," proposing a more structured successor: "agentic engineering," where AI agents work within defined boundaries and a human retains architectural responsibility for the result.
That's a fast turnaround for a term to go from coined to superseded, and it tells you something real about how quickly this space is moving.
The numbers behind the shift
The adoption data backs up how fast this has become normal practice: roughly 90% of developers now use at least one AI coding tool regularly, and by some measures 92% of U.S. developers use AI coding tools daily. That part of the story is settled.
What's more interesting, and more honest, is the trust gap sitting underneath that adoption number. By several 2026 surveys, a majority of developers say they don't fully trust that AI-generated code is functionally correct, even while using it constantly. One controlled study by AI safety research group METR found that experienced developers using AI tools were measurably slower on real coding tasks than developers working without them, and didn't realize it. They believed the AI had helped, even when it hadn't.
That gap between how productive AI-assisted coding feels and what it actually measures out to is arguably the real story of 2026 software development, more than the adoption numbers themselves.
Why that changes what a "coding demo" should look like
If the honest state of the technology includes real trust gaps and real productivity questions, then a polished, edited coding demo is actively misleading. It shows none of the friction that's apparently the norm right now. A live-build format, where the process is unscripted and mistakes happen on stream, is a more accurate representation of what building with these tools is actually like in 2026, not less.
That's not a criticism of the tools. It's a reason live, unscripted building is a more honest way to show them off than a highlight reel.
What's actually on display
In a live-build session, the interesting moments aren't the parts where the AI got it right on the first prompt. They're the moments where it didn't, where a developer has to recognize a subtly wrong output, decide whether to re-prompt or take manual control, and course-correct in front of an audience with no edit available. That's judgment, and it's exactly the skill the trust-gap data above suggests most developers are still building.
That's the format LEVEL//UP AI runs on: one speaker, one AI NPC, built live from a blank project: the real process, unscripted, including the parts that don't go perfectly the first time.