There’s a lie that keeps making the rounds in developer circles: “We’ll polish the UX later.” It sounds reasonable. It never happens. And in 2025, that excuse has officially expired.

We’re in the middle of the biggest drop in experimentation cost that software has ever seen. AI tools have compressed the gap between idea and working prototype from days to minutes. And yet the products shipping today still trip over the same UX failures they always have. Confusing navigation. Forms that fight you. Feedback that never arrives. Interactions that feel like they were designed for the code, not the person using it.

The old excuse is dead

For years, “poor UX is a resource problem” was a fair position. Iterating on the experience took real time. Exploring a different interaction pattern meant building it. Testing a different onboarding flow meant engineering a different onboarding flow. Small teams and tight timelines made this a genuine tradeoff.

AI assistance has taken that apart. Today you can scaffold a completely different version of a feature in the time it used to take to write the ticket for it. You can explore three competing navigation approaches in an afternoon. You can prototype a new interaction model, test it, hate it, throw it away, and build something better — all before your old workflow would have gotten past the whiteboard.

The cost of exploration is now about as close to zero as it’s ever been. Which means the only thing between a developer and a thoughtful, well-tested UX is the decision to care about it.

AI writes code. It doesn’t feel friction.

AI-assisted development generates functional code at speed. What it can’t do is sit down with your application as an actual user, get confused, get frustrated, and tell you where things quietly break.

AI has no patience to lose. It doesn’t notice that your modal closes when you click two pixels outside it. It doesn’t feel the cognitive load of a seven-step signup form. It won’t tell you that your error messages read like they were written for the compiler, not the person staring at them.

When you sit down and actually use what you built — the way a stranger would use it — you catch things no automated test or AI review will surface. The hesitation before clicking a button whose label doesn’t quite say what it does. The moment you realize you don’t know if your action went through. The low-grade anxiety of an interface that works but never quite feels like it’s on your side. These aren’t bugs. They don’t show up in error logs. But they’re the difference between a product people come back to and one they quietly drop.

Testing by hand is a design act

There’s a temptation, especially in code-first workflows, to treat UX testing as a QA step — something that happens after the real work is done. That’s backwards.

Testing your own product by hand, repeatedly and deliberately, is one of the most important design decisions you can make. It’s how you discover what the interface is actually saying, versus what you intended it to say.

Walk through every core flow as a first-time user. Kill your assumptions. Forget what the buttons are supposed to do and just read what they say. Try to break things gently — not to find crashes, but to find confusion. Pay attention to the moments where you have to think, where you look twice, where you feel even slightly unsure about what just happened.

Then fix those moments. With AI assistance, the fix is faster than ever. Rebuild the component. Rephrase the copy. Restructure the flow. This is not the expensive rework it used to be.

The bar has moved

People interact with extraordinarily well-crafted products every day. Their baseline for what a good experience feels like has been quietly set by years of using tools built by teams who obsessed over every interaction. When your product feels rough by comparison, users don’t sit there analyzing why — they just leave, or lose a little trust, or do what they came for and never feel the pull to return.

In a world where AI helps any developer ship faster, speed is table stakes. What separates good products from forgettable ones is the care embedded in them — the texture of the experience, the sense that someone thought about it from the user’s side and kept going until it felt right. That care can’t be automated. But it can be practiced.

A simple commitment

You don’t need a UX team. You don’t need a research budget. You don’t even need users yet.

You need a practice: before anything ships, use it. Use it tired. Use it rushed. Use it as someone who has never seen it before. Ask one other person to use it while you watch and say nothing. Notice what they do and where they pause.

Then use AI to act on what you find — faster than you ever could have before. Rebuild the thing that confused them. Shorten the path. Make the feedback unmissable. Try the version you were afraid was too bold.


The cost of getting UX right has never been lower. The cost of getting it wrong — in lost trust, in churn, in the gap between what you built and what people actually wanted — hasn’t changed at all. There are no more excuses.