If you spend any time on developer Twitter, you have seen vibe coding: describe an app in chat, accept every suggestion, and ship when it "feels" right. The memes are funny because they contain truth. The problem is not using AI fast. The problem is confusing motion for progress.
This post is not anti-AI. It is anti-magic thinking.
Myth 1: "If it works on my machine, we are done"
Local green builds are the floor, not the ceiling. Production cares about:
- Error boundaries and timeouts
- Data validation at boundaries you do not control
- Observability — can you explain a failure from logs in five minutes?
A vibe-coded prototype often skips all three. Treat the first working version as draft zero. The real work starts when you ask what breaks under load, bad input, and partial outages.
Myth 2: "The AI read the whole repo"
It did not. Even with good tooling, context windows and indexing have limits. The model may mirror patterns from the wrong folder, import a deprecated helper, or duplicate logic that already exists.
Mitigate: point tools at the right files, restate invariants in prompts, and run static analysis after every meaningful edit. Let machines move fast; let CI catch structural mistakes.
Myth 3: "We can fix security later"
Later rarely comes before someone fuzzes your auth route. Basic hygiene — parameterized queries, scoped cookies, SSRF guards on outbound fetches — belongs in the same session as the feature, not a mythical cleanup week.
If you would block a junior’s PR for it, block the vibe merge too.
Myth 4: "Users cannot tell AI slop from craft"
They can. Generic microcopy, same-y layouts, and accessibility gaps add up. Speed buys you iterations — use them to refine copy, keyboard paths, and empty states. Differentiation is still human curation.
What good vibe coding looks like
Think guided velocity:
- Tight loops — small tasks, reviewable diffs, tests where regressions hurt.
- Explicit contracts — schemas, types, and API shapes agreed before implementation details explode.
- Stop conditions — if two refactors do not help metrics, step back and design.
The vibe is the accelerator. Discipline is the steering wheel.
Closing thought
The teams winning with AI are not the loudest. They are the ones with green tests, clear rollback plans, and boring monitoring. Exciting demos get likes. Boring systems get renewals.
Pick which game you are playing before you open the chat panel.