How AI can increase software quality in the hands of experts.

Human developers' choices.

Having an entire application written by AI does not provide that grip. Architecture, system design and in-depth knowledge of the business and customer are choices human developers make. With us, the combined expertise of the whole team ensures that these choices are right: a software architect who understands the business and tests scalability, and developers who fully master the framework. As a result, we build an optimal application with high-performing database queries, efficient code, solid security and thoughtful design patterns.

What AI does: accelerate and empower.

What AI can do is speed up the development process: generating boilerplate code, suggestions for routine parts or help with documentation and refactoring. It does not replace human expertise, but supports developers so they can focus on quality, security and customisation. This allows developers to spend their time where they make the most impact: architecture, domain knowledge, quality assurance, security, scalability and creativity.

Fewer hands, more control.

AI does for software development what automation does for factories: it takes over more and more executive tasks, allowing one person to do much more than before. But just as a factory full of robots does not decide for itself what to produce, to what quality standards and why certain choices are wise, so it works with AI. No matter how smart the systems become, they have no understanding of context, risk, ethics or business goals. They do not know what is scalable in the long term, which exceptions are really important or how a product should fit with an organisation's processes.

Software as the backbone of your organisation.

The role of software is only going to increase. Business processes, acquisition, administration. Thanks to the smart deployment of software, your organisation will become increasingly efficient and you will continuously gain more insight into performance, processes and therefore opportunities for improvement. Precisely because this role is becoming increasingly important, controlling your digital landscape is essential. And directing, that is people work. It means taking into account privacy, business processes, future plans and much more. The context around your software.

Even though you can often rely on standard software, and thus many of your processes are standardised; your entire organisation is unique, and thus has unique challenges. It is precisely this that ensures that the role of a software developer cannot simply be replaced by AI.

How we deploy AI in practice.

Software touches every part of your organisation: from business processes and acquisition to administration and customer contact. Smart software can make your organisation more efficient and insightful, but only if there is direction. At Cube, we help you take direction in this digital landscape. We ensure that software not only works, but is also secure, scalable and future-proof, while you keep a grip on data, processes and strategic choices. This is how you turn software into a powerful tool for growth and agility.

We ourselves deploy AI in many areas. For ourselves, but also for our clients. Our processes are supported as much as possible throughout our development process with AI-driven tools. For instance, we work with code reviews, where a developer always evaluates the work of a colleague. In addition to the code review by a developer, we also have an AI agent evaluate the code. The results from this can be used by the code reviewer to spot salient features faster

It remains human work.

Summarising entire discussions around an issue can also be done just fine by AI. And don't forget, of course, the tools we use to make code suggestions. Simple and common rules are pre-populated by AI agents, and a developer only has to check and correct them. Still, there is a common thread in all these examples: the AI tools are tools. They help gain insights faster and predict repetitive issues. But determining whether proposed code is also the best solution in exactly that application remains human work. At least for now.

The developer of the future.

This is precisely why the role of the developer is becoming more important than ever. But what will that role look like in the future? And will this person actually continue to be called 'developer'? The need is shifting towards people who can interpret, improve and provide context to AI output. People who manage a digital landscape that involves collaboration with real people, as well as AI-driven development agents.

The emphasis is less and less on writing code and more and more on direction: designing architecture, monitoring security, capturing domain logic, quality assurance, data governance and effectively deploying increasingly powerful AI tools. AI is taking over a growing part of the execution, but real people still determine the direction, intent and quality of the end result.

Someone behind the wheel.

Of course, the development of AI is not standing still, and its impact, but especially its level, will develop at a bizarre speed. As a result, the versatility of tasks that AI can take over from a human will naturally grow. Those tasks may also become increasingly complex. Yet that will not take away from the fact that there must always be someone behind the wheel when developing software. That is the only way to really get a grip. To really know what is happening with your data and to be able to really guarantee the functioning of your software.