I rolled my eyes the first time I heard the phrase "vibe coding." It sounded like something invented to sell a course. Then I actually spent a few weekends doing it — describing what I wanted in plain English, letting an LLM write the code, running it, fixing what broke — and I had to admit the eye-roll was premature. There's something real here. There's also a trap, and most of the hype skips right over it.
So here's my honest take, from someone who ships backend and blockchain code for a living.
What it actually is
The term got popular thanks to Andrej Karpathy, who described a way of working where you "fully give in to the vibes" and let the model drive. You stop typing code and start describing outcomes: "add a login form," "now store submissions in a database," "make it look less ugly." The AI writes it, you run it, something breaks, you tell it what broke, and round and round you go until it works.
That's the whole loop. Prompt, run, break, refine. It feels less like engineering and more like sculpting — you're nudging a rough shape toward the thing in your head.
There are broadly two ways people do it: all-in-one app builders that generate the whole frontend and backend from a description, and AI assistants sitting in your editor (ChatGPT, Copilot, Claude, and friends) that you drive snippet by snippet. Same philosophy, different altitude.
Where it genuinely shines
I'll be direct about the wins, because they're real:
- Prototypes. Idea to clickable demo in an evening. When you just need to see whether a concept feels right, nothing beats it.
- Boilerplate. The hundredth CRUD form, the config wiring, the glue code nobody enjoys writing. Let the machine have it.
- Throwaway tools. Little internal scripts, a one-off dashboard, a personal automation. Things where "good enough and done today" beats "perfect next month."
- Getting unstuck. Sometimes you don't want the answer, you want a starting point to react to. Vibe coding is a great rubber duck that types.
For any of these, the speed is not a small improvement. It's a different category.
Where it quietly bites you
Here's the part the tutorials gloss over. The code an LLM hands you looks finished. It runs, the demo works, everyone claps. That polish hides three problems:
- No architecture. You end up with a working blob and no structure. It's fine at 200 lines and a nightmare at 2,000. The mess doesn't announce itself — it just slowly makes every new change harder.
- You stop reading. The whole appeal is not sweating the details, so you don't. Then a bug shows up in code you've never actually read, and you're debugging a stranger's work that happens to live in your repo.
- Security. This is the one that worries me most. Generated code is not secure by default. It'll happily skip input validation, log things it shouldn't, or wire up an endpoint with no auth — and it won't warn you. I've seen "it works!" prototypes that were one deploy away from leaking data.
None of these are reasons to avoid vibe coding. They're reasons to not switch your brain off while doing it.
How I actually use it without regretting it
A few habits have made the difference for me:
- Work in small chunks. One feature per prompt, tested before the next. A giant "build me the whole app" prompt gives you a giant thing you don't understand.
- Read the output. Every time. Non-negotiable. If I don't understand a block, I ask the model to explain it before I ask it to fix anything.
- Feed it real data. Actual example inputs and edge cases, not the happy-path toy values. The code is only as good as the cases you show it.
- Keep a backup before big changes. A commit, a branch, anything. "Undo" for AI edits is a git history, not a keystroke.
- Know when to restart the prompt. When a conversation has drifted into patch-on-patch chaos, throwing it away and re-describing the goal cleanly beats twelve more "no, not like that" replies.
- Never ship a prototype straight to production. Once the shape is right, I go back through it like a code review: structure it, harden it, validate inputs, add error handling. The vibe gets you the draft. You still owe it an edit.
So, replacement or not?
The industry keeps repeating that a huge share of new apps — some say around 75% by this year — will lean on no-code and low-code approaches. I believe the direction, if not the exact number. But "most apps" has always included a long tail of small, simple things, and that's exactly where vibe coding fits.
For the systems I care about most — the ones handling money, user data, or anything that has to run reliably at scale — it's a helper, not a replacement. It writes the first draft faster than I ever could. It does not relieve me of the responsibility to understand what shipped.
That's the honest summary: vibe coding is a fantastic way to start and a dangerous way to finish. Use it to move fast early, then slow down and do the boring engineering before anyone depends on it. The vibes are real. So are the consequences of trusting them too far.
