I Went All-In on AI Building Tools. Here's What Actually Happened.

This is not a tutorial. It's not a review written after a 20-minute demo. I spent months building real projects with AI tools and what I found is different from most of what gets posted about this topic.

So here's the honest version.

What I Actually Built

I used Claude, Cursor, Bolt.new, and Base44. Not casually.

I built apps during a hackathon in Bolt.new and kept going after it ended. One of those apps I converted with Claude and I'm actively working toward releasing it. I tested Base44 to see if it could carry a serious product.

But the biggest move was taking my own real estate platform completely off Wix Studio and rebuilding it from scratch using Cursor. Not a landing page. The full thing. A public-facing site with Miami neighborhood data, building records, and active listings. A landlord portal where property owners can manage their listings, review offers, and accept, counter, or reject in real time with AI-generated weekly feedback on their performance. An admin dashboard I use to manage the entire platform. An AI chatbot. SMS notifications via Twilio. Google OAuth for login. A full Supabase database with 297 blog posts migrated over, 500 buildings, 15 neighborhoods, and all the relational data that connects them.

That is what I built. And that is the lens this article is written from.

AI Doesn't Replace Developers. It Turns You Into One.

The pitch is that AI removes the need for technical knowledge. Describe what you want, get a working product.

Here's what actually happens.

The moment you build something real and try to take it seriously, you become responsible for everything. Not in a vague way. Here is the actual list of what lands on your plate:

The platforms you now manage:

• A hosting platform (Vercel, Railway, or similar)

• A backend database platform (Supabase, PostgreSQL)

• A frontend framework (Next.js)

• An AI platform subscription at the highest tier to get real work done

• A code editor subscription, also at the highest tier

• External service accounts for every feature you add: Twilio for SMS, an email service for notifications, Stripe for payments, OAuth providers for login

The technical responsibilities that come with all of it:

• API keys for every service

• Environment variables stored securely so they never leak into your codebase

• Key management, knowing which key does what, which ones live server-side only, and what happens if one gets exposed

• Row Level Security on your database so users only see their own data

• Authentication logic and route protection so someone cannot just type a URL and get into your admin panel

• Deployment pipelines and what breaks when a push goes wrong on a live site

• SQL schema design, database migrations, and what happens when you need to change your structure after real data already exists in it

• Debugging errors that only appear in production and not on your local machine

• Security audits, because bugs are not the only risk

And there's more not in this list.

I know this list from real experience. I have had to rotate API keys after a platform breach. I have had authentication break silently with no visible error. I have had a fix introduce three new bugs. I have had a database migration fail and require manual repair because local and remote states got out of sync. I have spent hours in server logs trying to find why something worked in development and broke in production.

None of that shows up in the demo.

The Speed Is Real. What Comes After It Isn't.

The generation speed is genuinely impressive. Getting from zero to a working prototype fast is one of the things these tools actually deliver on.

But maintaining what gets built is a completely different experience.

The actual workflow: generate something, it breaks, fix it, something else breaks, repeat. What caught me off guard is that the more you iterate on AI-generated code, the more unstable things can become. The first output is often the most reliable version. Every round of fixes after that introduces drift, and at some point you are patching patches.

These tools are starting points. Not finished products.

The Cost Is Higher Than It Looks

To use any of these tools at a serious level you end up on paid tiers across the board. Every subscription compounds. And you are still doing the work yourself. AI is not cheaper than traditional development. It just moves where the cost shows up. Instead of paying a developer, you are paying in time, complexity, ongoing subscriptions, and the mental overhead of managing systems you did not originally plan to manage.

I ended up paying for the max plan with Claude and Ultra for Cursor to avoid the limits.

The Code Debt Nobody Warns You About

Here is something that does not get talked about enough.

AI generates code fast. But that code accumulates. Fast.

Every feature you add, every fix you apply, every prompt you send to patch something that broke: it all layers on top of itself. After a while you are not sitting on a clean codebase. You are sitting on a stack of AI decisions, some of which contradict each other, some of which reference functions that no longer exist, and some of which are solving problems that were already solved three iterations ago in a different way.

I had to stop building entirely just to clean it up.

Not to add a feature. Not to fix a bug. To go back through the codebase and strip out the dead code, the redundant logic, the leftover API calls that were doing nothing, the commented-out blocks that AI left behind every time it tried a different approach. Files that had ballooned to 1,700 lines when they should have been 90. Components that were imported and never used. Functions defined twice in different places doing almost the same thing.

This is the part that actually costs you time.

The generation is fast. The cleanup is slow. And if you skip the cleanup and keep building on top of it, the instability compounds until you are spending more time debugging the mess than building the product.

Nobody shows you that part in the demo.

What Leaving Wix Studio Taught Me About Wix Studio

I moved my real estate platform off Wix Studio deliberately. The project needed more control and flexibility than the platform offered at the time. That was the right decision for that project.

But I want to be clear about something. I still have a personal project on Wix Studio. I am still building and selling templates on the Wix Studio Marketplace. I did not leave the ecosystem. I made a specific architectural decision for a specific product.

And once I stepped off Wix Studio for that platform, I immediately understood what it had been quietly handling for me. SEO. Hosting. CMS. Performance. Automations. On Wix, those things are just there. Off platform, they become your full responsibility and managing them manually takes real time away from building the actual product. I am now considering moving the marketing and content pages of that platform back onto Wix Studio for exactly that reason.

You do not notice the floor until you are standing on dirt.

What This Means For Me as a Template Creator

I build templates on Wix Studio. That context matters here because the AI conversation affects template creators directly and most of what gets said about it is wrong.

AI is generating a lot of noise right now. Generic outputs. Sites that look identical because they came from the same prompts. The demand for structured, intentional design that solves a specific problem is not going away. If anything, it is increasing because the baseline is now flooded with AI-generated work that all looks the same.

Templates are not being replaced. Low-effort, undifferentiated work is. The bar has moved up, not disappeared. If you are building templates with a real design system, a clear use case, and genuine craft behind them, you are more valuable now than you were two years ago. AI cannot replicate intentionality.

What I Am Hoping For With Wix Studio

Wix is not sitting still on AI. The moves they have made over the past year make that obvious.

They launched Wix Harmony in January 2026, a hybrid AI website builder powered by Aria, an AI agent that combines natural language creation with full drag-and-drop visual editing on Wix's production-grade infrastructure. They acquired Base44 for $80 million, an AI app builder that lets non-technical users create dashboards, portals, and functional applications from plain English prompts. And Wix Vibe sits alongside these as a more developer-oriented path with code access and GitHub sync.

Three distinct tools. Each aimed at a different type of builder.

What I am hoping for is a version of Wix Studio that learns from all three of them and delivers something that serves the professionals: the designers and developers who already know what they are doing and just need AI to help them move faster without the chaos.

The ideal version of Wix Studio is not another vibe coding tool. It is a platform where a designer with real expertise can use AI to accelerate the parts that slow them down, without losing the control, the stability, or the design fidelity that matters. A place where AI handles the repetitive work and the professional handles the judgment calls.

Wix Studio has not had a meaningful update in a while. That has been a frustration across the community, me being one of the louder ones. But I'm starting to see the delay differently.

Wix has been watching everything. They have seen where Bolt breaks. Where Base44 hits its ceiling. Where Harmony serves beginners well but leaves professionals wanting more. The professionals using these tools every day are accumulating real insight into what AI gets wrong and what it still cannot replace. That experience is exactly the foundation a serious Wix Studio update should be built on.

I have high expectations. And I think they will deliver.

What It Actually Takes to Build Well With AI

After going through all of this, one thing became clear: you have to be intentional and strategic. AI rewards discipline. It punishes chaos.

Here is what actually works:

You need a clear goal before you open any tool. Not a vague idea. A specific outcome. What does done look like? What does this feature actually need to do? The more defined your input, the cleaner the output. Vague prompts produce vague code that creates problems three steps later.

You need to know when to stop. The biggest mistake is over-iterating. Get it working, test it, move on. Every extra round of prompting to make it slightly better introduces new risk. Treat AI like a sprint, not a marathon.

And you need to separate two completely different modes of working: building and refining. When you are building, move fast, get ideas out, get something in front of real people. When you are refining, slow down, read the code, clean it up before you add anything new. Mixing the two is where things fall apart.

My goal with AI is specific. I am using it to get ideas out, build prototypes, and put real products in people's hands. That is how Allioo exists at the level it does today. That is how my second project is taking shape. AI let me move at a pace I could not have managed otherwise as a solo founder.

But I am also clear-eyed about what comes next. At a certain point, these products need a real developer. Someone who can own the codebase, architect things properly from the start, and build with the kind of precision that AI alone cannot consistently deliver. I cannot afford one yet. That is just the reality of where I am. But I know that is the next hire when the revenue gets there.

And here is what I genuinely believe: developers are more valuable now, not less. Specifically the ones who know how to leverage AI. They can move faster than ever, build more than ever, and bring a level of judgment to the work that no prompt can replicate. AI is a multiplier. It is not a replacement. The developer who understands that is worth more in 2026 than they were five years ago.

The Honest Takeaway

AI is powerful. I use it every day and it is core to how I build now.

But it is harder, more fragile, and more technically demanding than most of what gets posted about it will admit. It is a tool. Not a shortcut. And not a replacement for understanding what you are actually building.

The people who get real results from this shift will be the ones who go in clear-eyed about the tradeoffs, choose the right tool for the right job, and build with intention instead of chasing the demo.

That is what I found. That is what is actually true.