Chris Heivly explains that entrepreneurs need strong belief in their ideas, but this confidence can sometimes look like arrogance. He says true conviction listens, learns, and stays focused on the purpose, while arrogance ignores feedback and comes from ego. The best entrepreneurs stay confident, curious, and open to correction. Article:https://www.techstars.com/blog/pov/conviction-or-arrogance-a-thin-line-entrepreneurs-walk

Jaroslaw Wasowski argues that many companies are moving away from microservices and back toward larger, more organized systems. He says microservices were mainly created to help human teams handle complexity, not because they are always technically better. In the age of AI coding agents, this changes because agents need clear context to understand and change […]

Jessica Stillman explains that Steve Jobs’ 10-80-10 rule is still useful in the age of AI. She describes how Jobs changed from a micromanager into a leader who gave teams more freedom. The rule means that leaders should spend the first 10 percent setting a clear direction. Then people, or AI tools, can do about […]

Marco Kotrotsos argues that many simple software products are becoming easier to replace with AI-built tools.He explains that he used Claude to create his own dithering app instead of immediately buying a commercial one. Kotrotsos says this pattern is already happening in many areas, where people and companies replace paid software with custom AI-made solutions. […]

Attila Vágó explains that AI can make software development much faster, but it also brings new challenges.He says that messy old code often leads to messy AI-generated code. Engineers now have to make many more decisions when reviewing AI work, which can become exhausting.Vágó also warns that teams cannot simply trust AI tools without strong […]

Alvis Ng argues that AI coding tools become risky when management mandates their use instead of letting engineers adopt them based on trust and experience. It uses Amazon as a warning case, claiming that a forced rollout of the Kiro AI coding assistant led to high adoption metrics but serious production failures and outages. He […]

Prof. Dr. Daniel Cremers , Tekkie(TUM Venture Labs, TU München und Munich Center for Machine Learning) “Unter Weltmodellen verstehen verschiedene Leute verschiedene Dinge…Weltmodelle werden eingesetzt werden für Robotik und Defense.LSD-Slam-Ansatz (Large Scan Direct Slam, eine Kamera und Welt in hohem Detailgrad zu rekonstruieren).Aktuelle Geschwindigkeit ist für mich überraschend. Open-Source ist eine irre Entwicklung für alle.Was […]