If software can be built faster, the rest of the development process needs to evolve as well. Producing code more quickly does not automatically mean you're building better software.
AI Is Changing the Development Process
The conversation around AI and software often focuses on what we can build with it. From intelligent assistants and advanced search capabilities to fully automated processes. But AI is also transforming the way software itself is created.
The gap between a business need and a first working solution is shrinking. Developers can create initial solutions faster, gain a deeper understanding of existing code more quickly, and compare alternative approaches with less effort. Product Owners can refine requirements more effectively. UX teams can explore scenarios faster, while testing activities can increasingly be supported or automated. As a result, the value shifts.
When the technical work can be done faster, strong analysis, architecture, and decision-making become even more important. You still need to understand the problem you're trying to solve, how a solution fits within the existing organization, and which choices make sense in the long term.
AI does not eliminate that thinking. It simply helps you reach the point where those decisions need to be made much sooner.
Faster Development Requires Greater Control
That increased speed comes with another challenge. When teams can produce code faster, build integrations more quickly, and release new functionality at a higher pace, security must be able to keep up.
Cybersecurity can no longer be something that is only reviewed at the end of a development project.
What data are we using? Which external models and tools have access to information? Where is data being processed? Which dependencies are we introducing? What code is being generated, and how do we validate it?
AI introduces new questions, but more importantly, it reinforces a principle that has been relevant for years: security must be embedded within the development process itself.
Not as an additional step after development, but as an integral part of architecture, development, testing, and deployment.
The Way We Work Becomes More Important
This may be the most interesting shift of all.
You can add AI tools to a traditional software development process and continue working exactly as before, just a little faster. But that only captures part of the potential.
If analysis, development, and testing can all move faster, it becomes possible to rethink the entire process. Work in smaller increments. Validate ideas earlier. Automate more activities. Bring specialists together sooner. And return more quickly to the original business question when it becomes clear that a chosen direction is not delivering the expected results.
At Infodation, we are actively working on exactly that. We call it our New Way of Working.
It is not about a single AI tool or a new development methodology. It is about combining AI, automation, modern architecture, and the expertise of people from different disciplines.
AI can accelerate many tasks. But people remain responsible for context, decision-making, quality, and ultimately the outcome.
The real transformation is not how much faster AI can generate code, but how we can redesign the entire software development process around that new reality.
Ultimately, Custom Software Is Still About Customization
I find this particularly interesting in the world of custom software.
Custom software exists because organizations have different processes, systems, customers, and challenges. AI does not change that. If anything, as technology becomes more accessible, the ability to apply that technology effectively within a specific organization will only become more valuable.
So the question is no longer just: What can we build with AI?
It is also: How do we ensure that what we build truly fits the organization, remains secure, and continues to provide a solid foundation years from now?
That is where AI, cybersecurity, architecture, and collaboration between teams come together.
Three Topics, One Transformation
Soon, we will be hosting a small-scale session at Infodation focused on three areas that are part of our daily work: AI in software development, cybersecurity, and our New Way of Working for modern custom software.
On paper, these are three separate knowledge sessions. In practice, they are becoming increasingly interconnected.
Ultimately, they all revolve around the same question:
How do you develop custom software in a world where technology is evolving faster than ever, without losing sight of quality, security, and the real needs of the organization?
I believe that conversation is far more interesting than discussing which new AI tool we might be using tomorrow.
