Artificial intelligence is transforming software development. But rather than making IT specialists obsolete, AI is changing what it means to be a successful developer.
Artificial intelligence is changing software development at a rapid pace. At the same time, the IT job market has become more challenging for people entering the profession. Companies are hiring more selectively and paying closer attention to the practical skills candidates can actually bring to the table.
That does not mean that IT specialists or computer scientists no longer have a future. Quite the opposite.
Companies still need people who can develop, understand, secure, and adapt digital systems to real-world requirements. However, the role itself is changing.
Those who want to succeed in the future will need to do more than simply generate code.
Good Software Starts With Understanding the Problem
In professional software development, the starting point is rarely a perfectly defined technical specification.
Users might report that a workflow takes too long, information is difficult to find, or the same data has to be entered multiple times. But they cannot always explain exactly what technical solution is needed.
That is why a developer's job is not simply to turn instructions into source code. The first step is understanding the actual problem that needs to be solved.
This means getting to know how users work, questioning existing processes, and recognizing relationships between different parts of a system.
A seemingly small technical change can affect other features, databases, interfaces, security mechanisms, or even entire business processes.
IT specialists therefore need to learn to think beyond the individual programming task. They need to understand the broader environment in which they work and recognize how a technical decision can affect other areas of a system.
“Software development is not about writing as much code as quickly as possible. It is about fully understanding a task and developing a sustainable solution from that understanding.”
— Oliver Otto, Managing Director of Genese.de
AI makes this ability even more important.
An AI system can generate code within seconds. But it does not automatically know whether that code fits the company's processes, existing systems, architecture, or the actual requirements of its users.
Communication Is Part of the Profession
Anyone who develops software for other people needs to be able to communicate with those people.
According to Oliver Otto, communication should therefore be an integral part of training for IT specialists and computer science education.
“Developers need to learn how to listen to users, ask the right questions, and explain technical relationships in a way that is easy to understand. Only then can they develop solutions that genuinely help people in their everyday work.”
— Oliver Otto, Managing Director of Genese.de
Users and developers often speak different languages.
Users think in terms of tasks, deadlines, documents, customers, and workflows. Developers tend to think in terms of data structures, functions, interfaces, and technical components.
Professional software development has to connect these two worlds.
A good IT specialist therefore needs more than programming skills. They need to be able to conduct conversations, structure requirements, and determine whether a requested feature is actually the best solution.
Sometimes communication reveals that the real problem lies somewhere completely different.
Communication is therefore not simply an additional skill for developers who enjoy working with people. It is a core professional competency.
Modern Software Is Built by Teams
Collaboration with other developers is becoming increasingly important as well.
Modern applications consist of numerous interconnected components. User interfaces, databases, web applications, mobile apps, APIs, cloud services, and security mechanisms all have to work together.
Very few developers can completely understand a complex software system on their own.
“We work in an interconnected development environment. Developers therefore need to share knowledge, discuss technical decisions together, and document their work so that others can build on it.”
— Oliver Otto, Managing Director of Genese.de
This also means being able to read and understand code written by someone else.
Developers need to accept criticism, explain their own decisions, and work with colleagues to find better solutions.
The rise of AI makes this collaboration even more important.
AI-generated code needs to be reviewed, tested, and integrated into the existing architecture. An answer generated by AI can appear technically plausible while still being incomplete, insecure, or unsuitable for a particular system.
The responsibility ultimately remains with the developers.
Personal Skills Will Shape the Future
A degree or completed vocational training remains important. However, qualifications alone do not guarantee a successful career.
Personal abilities are becoming increasingly important.
Young people who enjoy solving puzzles, think logically, and do not give up when a task becomes complicated have a strong foundation for a career in software development.
Curiosity matters too.
Successful developers want to understand how things are connected and enjoy systematically searching for errors and finding solutions.
The willingness to keep learning is equally important.
Programming languages, development environments, and technical tools continue to evolve. The ability to analyze problems and solve them systematically, however, remains valuable in the long term.
Responsibility is another critical skill.
Software now influences central business processes. Errors can disrupt workflows, compromise data, or lead to incorrect decisions.
Developers therefore need to understand that their work has real-world consequences.
IT specialists and computer scientists continue to have promising career opportunities. But that future increasingly depends on their willingness to develop their skills.
People who simply wait to receive clearly defined programming tasks may find the profession more challenging.
Those who identify problems, take responsibility, communicate with others, and evaluate technical solutions within their broader context will continue to be needed in an AI-driven working environment.
Training at Genese.de: Learning Through Real-World Projects
For more than 25 years, Genese.de has been developing software solutions for managing patents, trademarks, and other intellectual property rights.
Its applications are used by patent law firms as well as patent departments within companies.
Trainees at Genese.de therefore learn much more than individual programming techniques.
They gradually work on real software solutions and learn how complex professional requirements can be transformed into reliable applications.
The training goes far beyond writing code.
Trainees work with existing software systems, databases, user interfaces, and APIs. They learn how to understand requirements, analyze errors, and make technical decisions that can be clearly explained and justified.
Each trainee is supported by a personal mentor who helps with technical questions, explains complex relationships, and supports the transition from basic knowledge to professional skills.
The goal is not to give trainees ready-made solutions as quickly as possible.
Instead, they are encouraged to think independently, ask questions, and develop their own approaches to solving problems.
Those are precisely the skills that will become increasingly important in the future.
AI Is a Tool — Not a Replacement for Understanding
Artificial intelligence will become a standard part of software development.
It can help developers write code, create documentation, suggest test cases, and identify potential sources of errors.
But a tool is only as effective as the person using it.
Anyone who does not understand the fundamentals cannot reliably evaluate AI-generated results either.
Developers need to determine whether a proposed solution is secure, maintainable, and technically correct. They need to know which questions to ask and which AI-generated results require particularly careful review.
Trainees should therefore learn how to use AI effectively without handing over their own thinking to it.
The future does not belong exclusively to people who work without AI.
But it does not belong to people who blindly accept every answer generated by AI either.
The developers who will remain valuable are those who use modern tools while retaining professional and technical control over the results.
A Career for People Who Enjoy Solving Problems
Training as an IT specialist remains a strong career path for young people who have a technical mindset, enjoy logical thinking, and like solving problems.
It is particularly suited to people who want to understand how software works and who want to build applications themselves rather than simply use finished products.
A willingness to collaborate with colleagues and users is equally important.
Programming is not going away.
But it will continue to change.
Some routine programming tasks will increasingly be automated. At the same time, analysis, architecture, communication, quality assurance, and the ability to understand complex relationships will become more important.
This does not make the profession less interesting.
It makes it more diverse.
Training With a Future in Mind
Genese.de gives young people the opportunity to develop their technical skills in a professional environment.
Existing programming experience or school grades are not the only factors that matter.
Curiosity, reliability, logical thinking, and the willingness to engage deeply with a problem are equally important.
Applicants should enjoy asking questions, discovering new connections, and developing solutions together with others.
For those who bring these qualities, software development will continue to offer strong professional opportunities.
Companies will continue to need IT specialists and computer scientists.
But they will need more than people who can write code.
They will need people who understand problems, take responsibility, communicate effectively, and turn technological possibilities into solutions for the real world.
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