Beyond code: Why soft skills for developers in the AI era become irreplaceable

AI tools such as Github Copilot, Chatgpt and other code generators change the developer role. Many programmers wonder which skills will be asked in the future. AI does not replace any developers. But developers without soft skills replace themselves.

“The best developers 2030 will not be a better code – but better translators between humans and machines.” Andrej Karpathy, ex-Openai

In June 2025, Microsoft deleted 9000 jobs [1]. Companies such as Microsoft, Google or IBM change their teams-and AI tools are often part of the strategy. One reason for these laying waves is the comprehensive availability of powerful AI tools. According to a study by McKinsey [2], AI systems can accelerate up to 60% of the Developer workload. If AI can do up to 80% of the coding, what makes me irreplaceable? More and more people are now asking themselves this central question because they are directly affected by the 4th industrial revolution or are affected in the foreseeable future.

Unlike earlier revolutions, there is no ‘retraining on web design’ this time. AI tools such as Devin or Chatgpt code not only automate tasks, but entire job profiles and faster than most of those affected can react. Studies show that up to 30% of all developer roles will not be converted by 2030, but are replaced by artificial intelligence.

This trend can be found in almost all professions, also in classic craft. On YouTube you can specifically search for videos, such as deliver small, cute robots orders in Moscow. Or as robots print out entire houses. New patents that affect steel shavings to concrete increase the stability and replace classic iron lichen. Machines that lay the floor tiles can also be seen. The list of activities that can be carried out by AI is long.

If you internalize this forecast, you can be afraid and worried. In order not only to survive in this new period, but even to be one of the winners, requires a high degree of flexibility. That is why one of the most important properties we have to develop will be a flexible spirit. Because although AI is very powerful, their limits are also set. If we only think about what defines us as humans, we find an important quality: creativity. How can we use this for future success? So that the statement: if your creativity does not become a platitude, I first look at the way how it will most likely become nothing.

Often junior developers ask me which framework, which programming Apache, which operating system etc. you should learn. These were the wrong questions in the old days. It’s not about following trends, but an appeal. If programming is to be a calling for me, it is first of all about understanding what the code you write really does. With a profound understanding of the source text, performance improvements can also be found quickly. Optimizations in the area of security are also included. But locating errors and their elimination are also characteristics of good developers. Because it is precisely in these areas that human creativity of artificial intelligence is superior. Of course, this means that as a consequence, it is consequently expanding exactly these skills.

Anyone who is only busy running after current fashion phenomena was not one of the specialists in demand in the ‘old’ time. Pure code of Monkeys their activities primarily consist of copying and inserting, without really grasping what the code snippets mean, were easy to replace. Especially now that AI is supposed to increase productivity, it is important to decide quickly and safely where a proposed implementation needs adjustments so that there are no unpleasant surprises when the application goes into production. Of course, this also means as a consequence that AI is a tool that needs to be used efficiently. In order to continue to stay on the winning page in the future, it is essential to significantly improve your own productivity by handling AI. Companies expect their employees that with the support of AI they can do a four to five times the current workload.

In order to be able to work effectively with artificial intelligence, your own communication skills are essential. Because only if you have clearly structured your thoughts can you formulate it correctly and specifically. A significant increase in performance can only be achieved if the desired result is achieved when the first instruction. Anyone who has to explain to the language model every time how inquiries can be understood, for example, because they contain amplifying, you will be able to achieve little time savings by AI.

You can basically say that the developer of the future should have some management skills. In addition to clear tasks, there will be a lot of self -management. To distribute suitable resources for optimal results. Because not only artificial intelligence threatens your own workplace, but also a strong competition from the Asian region. Well -trained, motivated and powerful people are now available in high numbers.

So we see that very moving times are coming up. The world will turn a little faster. Anyone who perceives these changes as a threat but as a challenge has a good chance of being fit for the no longer too long future. Anyone who already sets the course is well prepared for what will come to us and does not have to be afraid of anything.

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Cook Book: Maven Source Code Samples

Our Git repository contains an extensive collection of various code examples for Apache Maven projects. Everything is clearly organized by topic.

Back to table of contents: Apache Maven Master Class

  1. Token Replacement
  2. Compiler Warnings
  3. Excecutable JAR Files
  4. Enforcments
  5. Unit & Integration Testing
  6. Multi Module Project (JAR / WAR)
  7. BOM – Bill Of Materials (Dependency Management)
  8. Running ANT Tasks
  9. License Header – Plugin
  10. OWASP
  11. Profiles
  12. Maven Wrapper
  13. Shade Ueber JAR (Plugin)
  14. Java API Documantation (JavaDoc)
  15. Java Sources & Test Case packaging into JARs
  16. Docker
  17. Assemblies
  18. Maven Reporting (site)
  19. Flatten a POM
  20. GPG Signer

Apache Maven Master Class

Apache Maven (Maven for short) was first released on March 30, 2002, as an Apache Top-Level Project under the free Apache 2.0 License. This license also allows free use by companies in a commercial environment without paying license fees.

The word Maven comes from Yiddish and means something like “collector of knowledge.”

Maven is a pure command-line program developed in the Java programming language. It belongs to the category of build tools and is primarily used in Java software development projects. In the official documentation, Maven describes itself as a project management tool, as its functions extend far beyond creating (compiling) binary executable artifacts from source code. Maven can be used to generate quality analyses of program code and API documentation, to name just a few of its diverse applications.

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This online course is suitable for both beginners with no prior knowledge and experienced experts. Each lesson is self-contained and can be individually selected. Extensive supplementary material explains concepts and is supported by numerous references. This allows you to use the Apache Maven Master Class course as a reference. New content is continually being added to the course. If you choose to become an Apache Maven Master Class member, you will also have full access to exclusive content.

Developer

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Computer Science Library – Top 10 Coding Books

For hobby programmers and professional software developers, information sources are essential. A small, manageable private library with timeless books about programming is therefore always a good thing. Unfortunately, the offer for IT literature is very extensive and the books often outdo it again quickly. In addition, for various reasons, some titles do not necessarily have the predicate worth reading. Some texts are very understandable. Others contain hardly any relevant information that can already be easily obtained from public sources. That’s why I took the trouble and put together my top 10 books on the topic of software development.

All titles have been published in English. Most of them were also translated into German. If you don’t have any difficulties reading English books, you should get the original, since the translations are sometimes a bit bumpy.

An important criterion for a selection is that the books are very general and are not limited to a specific version. In addition, I actually have the works proposed here on my bookshelf and therefore also read.

  1. Effective Java 3rd Edition, J. Bloch, 2017, ISBN: 0-134-68599-7 |
    For all Java developers, the standard work with many background information about the functioning of the language and optimizations of your own source code.
  2. The Linux Command Line 2nd Edition, W. Shotts, 2019, ISBN: 1-59327-952-3 |
    Linux is very important in software development, since not only cloud applications in Linux are deployed. It is all the more important to be able to move safely on the command line. This book is only devoted to dealing with the Bash and is suitable for all Linux distributions.
  3. Angry Tests, Y. Bugayenko, 2025, ISBN: 978-1982063740 |
    Test driven software development is an important ability to ensure high quality. This book is not geared towards a specific programming language, but only deals with how to write meaningful test cases.
  4. Clean Architecture, R. C. Martin, 2018, ISBN: 0-13-449416-4 |
    In addition to a demolition of the history of how the various programming paradigms are related to each other, the book describes fundamental architectural design styles. Not only for software architects, but also very worth reading for developers.
  5. Mastering Regular Expressions 3rd Edition, J. E. F. Friedl, 2006, ISBN: 0-596-52812-4 |
    The absolute standard work on regular expressions. A must for anyone who really has to understand the topic.
  6. Head First Design Pattern, Eric & Elisabeth Freeman, 2004, ISBN: 0-596-00712-4 |
    Design patterns are among the basic skills of every programmer. In this book, the individual concepts of the GOF patterns are discussed comprehensively. It is suitable for both entry and as a reference.
  7. Advanced API Security 2nd Edition, P. Siriwardena, 2020, ISBN: 978-1-4842-2049-8 |
    API draft for Restful Services is now part of the standard repertoire of a developer. But the topic of security must not be neglected either. This book discusses new concepts that have been raised to the industrial standard. A good start for programmers who have not yet come into contact with Saml, Oauth and Open ConnectID.
  8. SQL Antipatterns, B. Karwin, 2010, ISBN: 987-1-934356-55-5 |
    Even for seasoned programmers, databases are often a book with seven seals. Even if SQL statements are quickly written down and they also produce the desired result, significant problems can lead to significant problems in productive operation. This book describes why statements are carried out very slowly and how they can be formulated correctly.
  9. Domain Driven Design, E. Evans, 2003, ISBN: 0-32-112521-5 |
    The connection between object -oriented programming (OOP) and database draft is made with the paradigm domain driven design.
  10. The Art of Computer Programming I-IV, D.E. Knuth, 2021, ISBN: 0-137-93510-2 |
    Four individual books in the Schuber describe in a very mathematical way how algorithms work.