From low-code to AI-assisted development: a transition without chaos

So you’ve built a lot on a low-code platform, and now everyone is talking about AI-assisted development or vibe coding. Maybe your team is curious. Maybe your licence costs keep climbing. Maybe you’ve hit the limits of what your platform can do. And maybe someone in a meeting has already said it: “Low-code is dead, we should switch.”

I don’t fully agree with that statement. However, if low-code vendors don’t change their approach and don’t embrace AI-assisted development, they may not survive. So it’s important to check your low-code vendor’s roadmap, because it may affect your transition approach.

Let me start with the good news: you probably shouldn’t switch everything. Low-code, no-code, AI-assisted development and traditional code each fit different situations, and they can strengthen each other. The question isn’t whether to move, but what to move, when, and how without breaking what works today.

This guide walks you through that transition in seven steps. Not every organization needs all seven. But skipping them is exactly how a promising switch turns into chaos.

Step 1: Decide whether you should move at all

Before planning a migration, be honest about the reason. Good reasons to move (part of) your landscape to AI-assisted development:

• You’ve hit the platform’s limits. You keep building workarounds for things the platform simply wasn’t designed for.
• The costs no longer add up. Licences per user or per app grow faster than the value they deliver.
• Lock-in worries you. Your business-critical logic lives in a format only one vendor can run.
• You can’t find the people. Developers for your specific platform are scarce, while developers who can work with AI-assisted code are not.
• Your low-code platform doesn’t embrace AI-assisted development. If AI isn’t on the vendor’s roadmap, the platform may fall behind, and you with it.

And some reasons that are not good enough on their own:

• “Everyone is doing it.”
• “AI will make it free.” It won’t. You trade licence costs for development, review and maintenance effort.
• “Our low-code apps are a mess.” Moving a mess to new technology gives you the same mess, in new technology.

There’s also a third option: combine both. Many modern low-code platforms work well with AI: AI that helps you build on the platform, custom AI-written code where the platform reaches its limits, and AI agents built on the platform itself. For many organizations, that’s the most sensible next step.

A company I worked with was building all their software on a no-code platform, and it worked very well for them. Problems started when they needed to access the database directly, and needed an integration to support government messaging standards. The platform could no longer support them. They had two options: build part of the functionality outside their no-code platform, or transition away from it. They chose the first option, and used AI-assisted development to help them. That worked very well.
In fact, it worked so well that they eventually transitioned away from their no-code platform to AI-assisted development: in steps, not in one big bang.

Step 2: Make an inventory of your applications

List every application on your low-code platform, and put each one into one of four groups:

Group	What it means	Typical example
Keep	Works well, fits the platform, no reason to touch it	Forms, approval flows, simple internal tools
Extend with AI	Stays on the platform, but gets AI features or AI-written extensions	An app that needs a smarter search or a document-processing step
Rebuild	Has outgrown the platform, and justifies a rebuild with AI-assisted development	A customer-facing app with complex logic and high usage
Retire	Nobody really uses it anymore	The app built for a project that ended two years ago

For larger companies, my experience is that the “Rebuild” group is much smaller than expected, and the “Retire” group much bigger. Both are good news.
Smaller companies are different: because they have far fewer applications, the “Rebuild” group is usually larger.

But much depends on why the transition was needed in the first place. If cost is a big factor, companies tend to move away from their low-code platform, instead of extending it with AI.

Step 3: Set up governance before the first line of code

Your low-code platform came with a lot of governance built in: user management, deployment, hosting, often even security checks. With AI-assisted development, you have to arrange most of that yourself. Decide up front:

• Which AI tools and models are approved, and what data may be shared with them.
• How code gets reviewed before it reaches production, and by whom.
• Where code, data and applications live, and who manages that environment.
• Who owns each application once it’s built: support, updates, incidents.
• How you work together as a team, so AI doesn’t cause chaos because it’s unclear who is working on what.

This is the step most teams skip, because it feels like it slows things down. It’s also the step that decides whether you’ll be writing a “getting out of hand” story six months from now.

Step 4: Start with a pilot

Pick one application from the “Rebuild” group to start with. A good pilot:

• Matters, so the results mean something.
• Isn’t business-critical, so a delay doesn’t hurt.
• Is small enough to finish in weeks, not months.

Use the pilot to test everything from step 3: the tools, the review process, the hosting, the support arrangement. Then measure: how long did it take, what did it cost, what was the quality, and what would you do differently? Those numbers make every decision after this one much easier.

Step 5: Take your people with you

The biggest change isn’t technical. Your low-code developers know your business processes inside out, and that knowledge is exactly what AI-assisted development needs. Don’t replace them; help them make the step:

• Review skills come first. Reading and judging code matters more than writing it from scratch when AI does much of the writing.
• Pair them up. Combine low-code developers who know the business with developers who know code. That’s what a fusion team really means.
• Don’t forget your citizen developers. Decide whether they get AI tools too, and under which rules. If you don’t, they’ll find the tools themselves.

Step 6: Migrate in slices, not in one big bang

For every application you rebuild, avoid the big switch-over weekend. Move it piece by piece instead:

1. Connect first. Let the new code and the low-code app talk to each other, for example through APIs.
2. Move one function at a time. Start with a part that’s well understood and easy to test.
3. Move the data last, and only when you know exactly what goes where. Data migration is where most surprises hide.
4. Switch off the old part only when the new one has proven itself in production.

It takes a bit longer on paper. In practice it’s faster, because you never have to roll back everything at once.

Step 7: Plan for a period of running both

For a while, maybe a long while, you’ll run low-code and AI-built applications side by side. That’s fine, as long as you plan for it:

• One support desk, so users don’t need to know which technology is behind an app.
• Clear ownership per application, whatever it’s built with.
• A realistic licence plan. Don’t cancel platform licences before the last app on them is really gone, and don’t keep paying for licences you no longer need.

The pitfalls I see most

• Moving everything because it’s possible. Plenty of apps are perfectly happy on their low-code platform.
• Underestimating what the platform did for you. Hosting, security, user management, backups: with AI-assisted development, all of that becomes your job.
• Treating AI-generated code as finished code. It’s a first draft. Review it like one.
• Forgetting the people. A transition without your low-code developers loses the business knowledge you need most.

From personal experience, I can safely say that I’ve seen all of these pitfalls in projects I worked on, sometimes several at once. I learned from them, and so should you!

A transition, not a revolution

Moving from low-code to AI-assisted development isn’t about choosing a winner. It’s about putting each application on the approach that fits it best, and making that move in a controlled way. Do it step by step, set up governance first, take your people with you, and you’ll get the benefits of AI without losing what low-code gave you.