How to Get Better at Vibe Coding

Most “get better at AI coding” advice is prompt tricks. Magic words, secret phrasings, the incantation that unlocks the good code. I’ve shipped enough products this way to say it plainly: prompt tricks are maybe five percent of it.

Here’s the uncomfortable, more useful version: when code becomes cheap to produce, judgment becomes the expensive skill. Getting better at vibe coding mostly means getting better at things that were always valuable — just at a new point in the process.

Train your taste on purpose

Taste is the ability to look at two working solutions and know which one you can live with in six months. It’s trainable, and vibe coding accidentally gives you the perfect training setup: an endless stream of plausible code to judge.

• Review every diff as if a junior wrote it. Not hostile, but awake. Ask “why this shape?” about anything surprising.
• Delete something every day. The strongest taste exercise I know: find generated code that works but shouldn’t exist, and remove it. The moment you delete 40 working lines is the moment you’re steering again.
• Read your own six-month-old code. Whatever makes you wince — that’s the feedback loop. Encode the lesson in your rules file so the next generation starts past it.

Learn your stack one level deeper than you use it

The paradox of vibe coding: the less code you type, the more your understanding matters. When something breaks at 23:41 — and it will, usually a Firebase rule doing exactly what you said instead of what you meant — the AI’s confident guesses are only useful if you can tell which guess is right.

You don’t need to know everything. You need the layer just below where you work: how Firestore queries actually bill and index, what React re-renders and why, what Capacitor does to your web code on iOS. One level of depth turns AI from an oracle you obey into a fast colleague you check. My stack is deliberately small partly for this reason — fewer things to understand deeply.

Practice describing systems, not features

The developers getting the most out of AI aren’t better prompters — they’re better describers of systems. The skill is holding the whole product in your head: data model, user flows, failure states, permissions. AI amplifies exactly this; it can’t replace it.

A concrete exercise: before starting a feature, write the four-line brief — who, what, never, exists — from the workflow, then predict what the AI will get wrong. Over time your predictions sharpen, and so do your briefs. When the prediction stops missing, you’ve internalised the model’s blind spots — which is the actual senior skill of 2026.

Build things slightly too hard for you

Vibe coding collapses the cost of attempting, which means the old advice — learn by building — got a free upgrade. A 3D physics game was slightly too hard for me; building Dolphin Beyond anyway taught me more about performance, game feel and Three.js than any course, because the AI kept me moving through the parts that would previously have stalled me for weeks.

The trap to avoid: letting the AI carry you through without extracting the understanding. My rule — every time it uses a technique I couldn’t have written, I make it explain the technique until I could. Slower that day. Compounding forever.

Keep one honesty habit

Ask, at the end of every feature: could I maintain this if the AI disappeared tomorrow? It doesn’t have to be yes for every line — nobody hand-maintains their bundler either. But if the answer is no for the core of your product, you haven’t built a product. You’ve borrowed one.

That question keeps the whole thing honest. It’s also, conveniently, the difference between the developers vibe coding is making stronger and the ones it’s quietly hollowing out. The limitations don’t disappear with skill — you just start catching them earlier.