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8 April 2026

AI-powered apps: is this the end of development teams?

Today, AI can facilitate and speed up app development. Can we therefore say goodbye to the role of the programmer?

Tech

Today, artificial intelligence allows anyone to develop a digital product, even those with no programming skills. Things that until a few years ago seemed impossible have become not only feasible, but even easy.


For digital entrepreneurs, this is an opportunity not to be missed. Products today are created at an unthinkable speed: no longer 6-8 months, but less than half. And the costs? Starting from a few hundred euros per month, much less than a development team.


Are we therefore about to witness the end of the era of programmers? Will we find ourselves in a situation similar to that of the First Industrial Revolution? The comparison may not be entirely far-fetched, yet this does not mean that developers will disappear.


AI for building apps: what can be done

For a founder dealing with a new product, the advantage that AI provides is unmatched. Many processes are accelerated by artificial intelligence. For example, AI can:

  • Easily create a landing page for the product
  • Help define the marketing strategy: identify positioning, carry out competitor analysis, define the target, and formulate the value proposition
  • Build wireframes and prototypes, and even small MVPs


The automation of all these processes alone brings a huge competitive advantage compared to products that rely on a fully human team, with the biases that come with it.


But it is not only in the pre-launch phase of a product that artificial intelligence can help. Any operational task that can be automated can be delegated to AI with a good degree of confidence.


Therefore, these are activities where it can also help:

  • User support: it can, for example, classify tickets, group similar ones to establish priority, and also provide immediate responses 24/7.
  • Data analysis: it can analyze trends, extract patterns, and find correlations between seemingly independent elements.
  • Forecasting and simulations: it can use historical data to predict future trends.


Where the mechanism breaks down: what AI does not do

In light of these statements, why shouldn’t a digital entrepreneur rely completely and exclusively on artificial intelligence? What can a team of developers do that AI cannot?


The main risk is developing a product that appears to work, but is fragile and inconsistent, and not truly capable of meeting users’ needs.


Without quality control of the application, the product can be difficult to maintain and insecure. It may happen that the code works, but is not optimized, and every change exposes the system to the risk of complex bugs that are hard to fix, because there is no one with a clear overall vision.


Artificial intelligence does not consider performance, the vulnerabilities the application may be exposed to, or compliance with current regulations. For these aspects, technical governance is important, meaning someone who can provide direction to what is being built.


For the same reason, it is essential to have someone with knowledge of the context, who ensures the consistency of flows, the effectiveness of usability, and who is able to set priorities, always keeping the end user in mind.


In summary, a do-it-yourself approach with AI can lead to an unstable product, difficult to manage and not very user-oriented. Without control, AI creates more chaos than value.


When a development team is necessary

A development team is not just a blind and deaf executor that “produces code”. The value that the human component brings goes far beyond that.


The development team creates a partnership. Artificial intelligence generates and automates, but it does so aimlessly if there is no underlying thinking capable of guiding the right choices, and above all taking responsibility for them.


A development team, on the other hand, stands by its decisions. It has a direct interest in the success of the project, and therefore:

  • It sets priorities
  • It maintains oversight of the codebase
  • It takes into account the overall context in which development takes place
  • It aligns all aspects: business, UX, UI, and technical


In practice, the product team does not just build, but ensures that the product works well in all its facets.


When a team is needed: concrete cases

If, as an entrepreneur, you are wondering: “So should I hire a development team, or am I still at the stage where I can proceed with artificial intelligence?”, here is a simple way to understand it.


The situations in which it is time to hire a product team are mainly three. The first is when priorities and a clear roadmap start to be missing. Where there is a lack of clarity, the output of artificial intelligence can only be confused as well.


A team that behaves like a partner brings clarity and supports the decision-making process by taking into account all the aspects that intersect in product creation, from technical to business.


The second case is when the outcome of the product impacts revenue, retention, or reputation. In this case, it is time to rely on someone who has accountability for what happens with your product.


When the product starts affecting these sensitive aspects, which more or less coincides with the moment it begins to have real users, beyond “friends and acquaintances”, it is essential to be able to rely on someone capable of guiding strategic decisions.


Finally, the third case is that of a product in a growth phase. When the product starts to grow, it is important to have clean and maintainable code. Otherwise, the build is like a house of cards that can grow very tall, but is always ready to collapse.


Therefore, fast but not always reliable coding produced with AI should be complemented with the expertise of experienced developers, who can evaluate and redirect the output. Only in this way can solid foundations be laid for a scalable product.


In short, when the product stops being a trial-and-error process, the real added value is not just building, but doing it well, taking a clear direction.


Development team vs. AI? A false opposition

At Mabiloft, we are a software house. But we are not just programmers. For us, our clients are true partners, whom we support in all aspects, including those related to market strategy.


Artificial intelligence is not the enemy for us, it is not the bar to surpass: we are fully aware of our limitations as human beings, and also of those of artificial intelligence.


For this reason, on the contrary, artificial intelligence becomes an ally, allowing us to speed up certain processes, automate others, and focus on what we, as thinking minds, can do best.


Returning to the initial comparison, the advent of artificial intelligence will likely resemble, in the long term, a new Industrial Revolution. But those who will not be overwhelmed are precisely those who are able to master the new tool and treat it as such: a tool, not an enemy, nor a cure-all that solves every problem.


AI is not always the answer: it depends on what the product needs at any given moment. We can summarize the scenarios in this table:


If you need…

… the right tool is:

Speed of exploration

Artificial intelligence

Operational output

Artificial intelligence with supervision

Technical expertise

Strong technical team

Making product decisions

Product partner

Setting priorities, especially during growth

Product partner


If you have a digital product developed with AI but you are not sure it is a solid product, ready to scale, and that your priorities are in order, ask us for a consultation. We will help you define a sensible roadmap and provide a technical assessment of your product.