Vibe Coding Thoughts- Why Most AI-Built Apps Are Doomed Before They Launch
Why Most AI-Built Apps Are Doomed Before They Launch
In Q1 of 2026, Apple’s App Store received close to 235,000 new app submissions — an 84% jump year-over-year. That’s not total apps on the platform. That’s new apps, in a single quarter. And if you think AI-assisted coding tools are responsible for a big chunk of that surge, you’re right. But here’s what nobody is talking about: most of those apps were already a mistake before the first line of code was ever written.
The Vibe Coding Revolution Is Real — and So Is the Problem
There’s no denying that AI-powered coding tools have fundamentally changed what’s possible. About 40% of new SaaS MVPs in 2026 are being built primarily with AI-assisted coding, and 63% of the people using these tools have zero coding background. Zero. Tools like Cursor and Claude Code have genuinely democratized product building in a way that would have seemed impossible just a few years ago.
of people building AI-assisted SaaS MVPs in 2026 have zero coding background — and 40% of new MVPs are being built primarily with AI coding tools.
Critics are quick to point out the technical risks — code that breaks at scale, security vulnerabilities, systems that aren’t production-ready. Those concerns are legitimate. But honestly? That’s not the biggest problem here.
The biggest problem is something much more fundamental than code quality.
Vibe Coding Removed Friction — And Friction Was Doing Important Work
Here’s the uncomfortable truth: the old barriers to shipping software — needing to hire engineers, spending months in development, burning through runway before you had anything to show — were painful. But they were also filters. They forced founders to sit with an idea long enough to ask: is this problem actually worth solving?
That friction is gone now. You can go from idea to deployed MVP in a weekend. And that’s exactly why we’re drowning in apps that are solutions searching for problems.
There’s a name for this pattern. It’s called solution-first thinking — and it’s essentially a disease in the founder community. It’s always existed, but AI coding tools have supercharged its spread. Developers and founders used to resist it out of necessity. Now, with the barrier to shipping at an all-time low, it’s running wild.
The 3-Question Framework That Separates Real Products from Expensive Hobbies
Before you write a single line of code — before you even open Cursor or Claude Code — you need honest answers to three questions. If you can’t answer them clearly, you’re not ready to build. Full stop.
Who, exactly, are you building for?
Not “small business owners.” Not “people who want to lose weight.” Those answers are too vague to be useful — and they’ll produce a product that’s too vague to find traction. Precision is everything here. Instead of “people who want to lose weight,” try: “Pre-diabetic professionals in their 30s and 40s who are sedentary at a desk job, are overweight, and don’t exercise.” Now you have a real person in mind. Now you can build use-case scenarios that map to actual behavior. The narrower your target, the sharper every product decision that follows.
How often does this problem occur — and how painful is it?
Frequency and pain intensity are your two most important early signals. A problem that happens once a year and takes ten minutes to fix is not a business. Nobody is paying a monthly subscription for that. What you’re looking for is a problem that hits regularly — ideally weekly or daily — and costs your customer real time, money, or stress every single time. That combination creates urgency, willingness to pay, and the kind of repeat usage that actually makes a SaaS business work.
What are they doing about it right now?
This is the most important question on the list — and the one most builders completely skip. Forgetting to ask it is how you end up building something your customers will never pay for. If your target customer has a real, painful, frequent problem, they are already doing something about it — even if that something is ugly. Maybe they’re using a spreadsheet. Maybe they’re stitching together three tools that don’t talk to each other. Maybe they’re stuck with some bloated enterprise software from 1998 that they hate but tolerate. That existing behavior tells you the problem is real, that there’s already implicit willingness to invest in solving it, and that you have a clear incumbent to displace. If they’re not doing anything about it? That’s your signal the pain isn’t actually painful enough to matter. Move on.
The Bottom Line
The ability to ship fast is genuinely a superpower — but only when you’re pointed in the right direction. AI coding tools have collapsed the cost of building, but they haven’t changed what makes a product successful: solving a specific problem for a specific person who is actively trying to solve it right now.
Before your next build, get honest answers to these three:
- Who is your customer, precisely? — Not a category. A person.
- How often does the problem hit, and how much does it hurt? — Frequency and pain intensity are everything.
- What are they already doing about it? — If the answer is “nothing,” that’s not an opportunity. That’s a warning sign.
For any early-stage founder: these aren’t exotic product management concepts. They’re the basics — and skipping them is one of the most common reasons MVPs fail to find traction, even when the underlying code is solid. Get the fundamentals right first, and everything you build on top of them becomes much easier to validate, iterate, and grow.
If you found this useful, I cover SaaS products, agentic AI workflows, and product thinking right here on SaroBuilds. Drop a comment or reach out — I’d love to hear what products you want me to review next.
