Software migrations are among the most challenging projects in IT, requiring clear strategies, consistent processes, and trust in the expertise of those involved. This article provides a case study on how unclear priorities, mistrust, and technical missteps can turn such a project into chaos and place a company in a critical situation.
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Developing high-quality software requires far more than just technical implementation – it demands structured processes, effective communication, and an understanding of the interplay between different roles.
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The rapid development of Artificial Intelligence (AI) promises a future where machines take over many tasks currently performed by humans. We are already seeing AI technologies being integrated into more and more industries, making work processes more efficient. However, while this transformation offers enormous productivity gains and advancements, it also has a darker side: job losses, identity crises, and the feeling of being unable to keep up in an increasingly fast-paced world.
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In a time when agile methodologies in software development should be the standard, it is alarming how little these principles are actually understood and implemented in some companies. Modern companies, especially in the software industry, face the challenge of developing complex products that are efficient, user-friendly, and future-proof. This requires clear role distribution, for example between Product Owners, UI/UX designers, and developers—yet this basic understanding is still surprisingly lacking in many places.
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Large software projects often need to be split into modules developed independently by different teams. This modular development brings significant challenges, particularly in the coordination and communication between teams. Hybrid frameworks like React Native initially appear to reduce this complexity and save costs by enabling cross-platform development. However, in reality, an unclear architecture often leads to a complexity trap, slowing down progress rather than simplifying work.
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In modern software development, user experience plays a central role. Products that remain functionally the same can be evaluated very differently depending on external circumstances. This leads us to an interesting thought: What if we could predict and adjust user behavior and app ratings based on external factors such as weather or time of day?
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In today’s work environment, companies and leaders are increasingly required to make decisions that go far beyond technical qualifications. Selecting the right employee for a position is crucial for the success of a team and the company as a whole. Personality models like the Enneagram, Myers-Briggs Type Indicator (MBTI), and the Big Five model are valuable tools for making informed decisions.
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In many companies, there is still the misconception that training is the solution to every skills gap. But reality often looks quite different.
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Have you ever considered that we could expand our conventional thought processes? Our thinking is mostly based on internal monologues and visual thinking, but what if we could explore and teach new cognitive styles—similar to learning a new language? These new ways of thinking could expand our problem-solving abilities and understanding in previously unimaginable ways.
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