Building With AI Is Easy. The Second Version Is Where Teams Struggle.
AI gets you a working first version in days. Then comes version two, and that is where most startups and developers hit a wall. Here is why, and how to avoid it.
By Dipankar Sinha
A founder showed me a demo in April. Clean login, a dashboard, payments wired in, all of it built in about a week with an AI coding tool. He was thrilled, and honestly, so was I. It worked. Real users could sign up and pay.
Then he asked the question that always comes next: "Can we add teams and roles by month end?"
That is where the story changed. Not because the feature was hard, but because nobody on the team could safely change the code that was already there.
The first version feels like magic
AI is genuinely good at the first version. You describe what you want, it writes the screens, the buttons, the database calls, and most of it works. For a demo, an investor meeting, or a first paying customer, this is a real gift. What used to take a small team a month now takes a few days.
I am not here to talk you out of that. Use it. Getting to a working product fast is a huge advantage.
The problem is what the speed hides.
What the speed hides
When AI writes a lot of code quickly, three things quietly go missing.
Nobody understands the whole thing. The AI made hundreds of small choices, and you approved them by saying "yes, looks good." Six weeks later, when something breaks, there is no person on the team who can explain why the code is shaped the way it is. You have a product, but you do not have understanding.
The pieces do not agree with each other. Ask AI to build ten screens over ten sessions, and you often get ten slightly different ways of doing the same thing. One screen handles errors one way, another handles them a different way, a third does not handle them at all. It all works on day one. It all fights you on day sixty.
There are no tests and no guardrails. Tests are the thing that tells you "your change just broke checkout" before your customer finds out. AI will happily skip them unless you push, and most first versions ship with none. So every new change is a gamble.
None of this shows up in the demo. It shows up the first time you try to build on top of what you have.
Why version two is the hard one
Version one is a blank page. AI is great at blank pages.
Version two is different. Now there are real users, real data, and real money moving through the system. You cannot just regenerate everything, because that would throw away the accounts, the history, and the payments people already made. You have to change the engine while the car is driving.
To do that safely, you need to understand the engine. And that is exactly the thing that got skipped.
So the team gets stuck in a bad loop. They ask the AI to add the new feature. It changes something. Something else breaks in a place they did not expect. They fix that. A third thing breaks. Each fix is fast, but the whole thing feels like pushing water uphill, because nobody can see the full picture. I have watched teams spend more time on version two of an AI-built product than they would have spent building it properly the first time.
This is not an AI problem. It is an old problem wearing new clothes.
Before AI, teams hit the same wall by hiring cheap contractors to "just ship something fast." The code worked, then became impossible to change, and the second version cost a fortune. We used to call the gap between "it works" and "we can safely change it" technical debt.
AI did not remove technical debt. It made it faster and cheaper to create, which means you can now bury yourself in it in a week instead of a year. The tool is faster. The trap is the same.
How to keep the speed without the trap
You do not have to choose between shipping fast and shipping something you can build on. A few habits make most of the difference.
- Keep one human who owns the shape. One person should be able to explain, in plain words, how the system is put together and why. If nobody can, that is your first thing to fix, not your last.
- Make the AI write tests, out loud. Ask for tests on anything that touches money, login, or user data. It will do it if you insist. This is the cheapest insurance you will ever buy.
- Refactor before you pile on. Before version two, spend a few days cleaning up the version-one code so it is consistent and understood. It feels slow. It is the fastest thing you can do.
- Draw the line between throwaway and keep. A prototype for a pitch can be messy, that is fine. The moment real users and real money show up, the rules change. Decide which side of that line you are on, and be honest about it.
The honest summary
AI has made the first ten percent of building software almost free. It has not touched the other ninety percent, which is keeping software working, safe, and easy to change as it grows. That part still needs judgment, and judgment is still human.
The teams that win with AI are not the ones that ship the fastest first version. They are the ones that can still move quickly on version five. Related reading: why you still need a tech leader even with AI, and when a startup actually needs a CTO.
Sitting on a fast first version and not sure how to build the next one without it falling apart? That is a very common place to be right now. Book a 30-minute call and we will look at what you have and map the safe way forward.