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Organisations are building software with AI faster and faster. But how do you make sure AI-generated applications stay secure, scalable and manageable?
More and more organisations are building their own software with AI tools, low-code platforms or modern development tools. Ideas that used to be shelved can now be tested and worked out into working applications far more quickly. And often that works surprisingly well.
A dashboard, an internal portal or a process application can be built faster today than ever before. But as soon as software becomes part of daily operations, the questions change too.
No longer: "Can we build this?" But: "Can we, as an organisation, rely on this?"
Want to know when an AI prototype is ready for professional management? Download the whitepaper below and get a firmer grip on security, scalability and further development.
"A working application is not yet a professional application. As soon as software becomes part of daily operations, management, security, scalability and transferability become at least as important as speed."
Building software is one thing. Keeping software manageable is something else.
Do you want to prevent rapid development leading to technical debt or maintenance problems later on?
See how JAM-IT supports organisations with:
JamOps Embed quality, monitoring and continuity structurally in your development process.
Lately we have been speaking more and more often to organisations that have already developed software. Sometimes with low-code, sometimes traditionally, increasingly with the help of AI and regularly in some combination of those. It usually starts small.
An internal process that needs to be smarter. A dashboard. A portal. An application that quickly solves a practical problem within the organisation. And to be fair: these days that often works surprisingly well.
AI makes it possible to set up functionality in a short space of time that used to require considerably more development capacity. What once took months can now sometimes be built within days or weeks. But that is exactly where an important tipping point appears.
Because as soon as software becomes part of daily operations, customer contact or operational decision-making, new questions arise:
A working application is not automatically a future-proof application.
What makes AI remarkable is not only the speed at which software can be built, but also the sheer volume of output it produces. Adding new functionality takes less time. Ideas can be worked out faster. Iterations follow each other more quickly. But that acceleration has a downside too.
When software grows without a clear structure, complexity builds up that becomes harder and harder to manage. Functionality is added without fixed standards. Processes grow organically. The code often works, but it is not always logically built up or easy to hand over. That problem existed before as well, but now it appears far more quickly.
Where technical debt used to build up slowly, AI can generate enormous amounts of complexity in a short time. By technical debt we mean choices or quick fixes that work in the short term, but make it harder later on to manage, extend or secure the software properly. Certainly when different tools, standalone AI solutions or several development methods are mixed together.
And precisely because AI speeds up so much work, one question becomes ever more important: is there still enough grip on what is actually being built?
Low-code platforms and AI-assisted development set out to solve fundamentally the same problem: developing software faster. But the way they do it differs fundamentally.
Low-code brings structure by working within fixed frameworks. That offers predictability and helps organisations to put stable solutions in place more quickly.
AI-assisted development works far more freely. It speeds up custom development and makes it easier to build flexibly outside fixed structures.
And that freedom is exactly what makes it powerful. But that freedom also demands more responsibility.
Think of:
Because however fast AI develops, quality ultimately remains human work.
Many organisations get stuck in the end not because the software does not work, but because the software no longer fits the organisation, which has changed in the meantime.
Sometimes an application still functions perfectly well technically, but the processes no longer match day-to-day practice. Sometimes further development becomes difficult because nobody understands the original structure any more. And sometimes a solution was set up quickly at some point, but has since become so important that reliability, management and continuity are suddenly crucial.
Now that technology is developing so quickly, flexibility matters more and more.
These are questions that weigh more and more heavily in software development.
The rise of AI does not mean expertise matters less. In fact, the opposite is happening.
Now that almost anyone can build software, the real value shifts more and more towards:
Anyone can buy tools these days. And yet building firms still exist. Not because people cannot get hold of materials, but because experience, oversight and craftsmanship make the difference as soon as something really matters. We see the same thing in software development.
That is why at JAM-IT we combine different ways of developing. Sometimes Mendix low-code is the best choice. Sometimes traditional software development. Increasingly, AI-assisted development plays an important part in that. And in many projects a hybrid form emerges in which technologies are combined.
But the technology itself is never centre stage. The most important question remains: what does an organisation need, not only to build faster today, but also to keep growing tomorrow?
Because developing software is one thing. Building software that stays manageable, secure and future-proof as organisations change is something else.
More and more organisations are building their own software with AI tools or low-code platforms. But as soon as applications become important within processes or operations, new questions arise around management, security and scalability.
That is why we have put together a compact whitepaper that goes deeper into:
Want to know more?Ask Armando
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