Articles on AI, organizations, and the changing nature of software development. Analytical work, grounded in practice.
Argues that AI-driven development does not kill agile but delivers its core principle more completely than any sprint ever did. Deconstructs the 'waterfall is back' narrative by separating agile principle from Scrum ceremony, and showing that faster feedback loops make AI-era development the most agile in history.
Have you ever received the same answer from an AI twice? Not approximately the same — exactly the same. If you've used a large language model for anything beyond trivial queries, you already know the answer is no. This article examines what the probabilistic turn means for how we work with machines, and what it demands of us.
Why intelligence and experience determine whether AI helps or harms. An examination of how cognitive load, expertise, and personality shape the outcome of working with large language models.
First we commoditized music. Then knowledge. Then relationships. Now intelligence. What's left? A reflection on what AI is doing to the structures of meaning that human life has historically relied on.
It starts with one more prompt. Two hours vanish. This article examines why working with AI pulls people into longer hours, not shorter — and why the old productivity playbook fails when your teammate is an AI.
On March 5, 2026, the U.S. Department of Defense officially designated Anthropic a supply chain risk — the first time this instrument had ever been used against an American company. The event reveals a dependency that European enterprises have yet to take seriously: American AI providers are not just businesses, they are political instruments.
The translation layer between business ideas and working software has been the most expensive bottleneck in technology for decades. It is collapsing — and the consequences reach far beyond who writes the code.
No verified case of a one-person unicorn exists. This article examines the gap between the AI-enabled solo founder narrative and the evidence, distinguishes productivity leverage from valuation leverage, and argues for a more grounded ambition: the million-dollar solo career, not the billion-dollar company.
Was passiert mit unserem Wohlstand, wenn KI kognitive Arbeit ersetzt? Eine quantitative Analyse mit Fünfjahres-Modellierung für Deutschland und die USA – mit drei Szenarien und expliziten Angaben zu Annahmen und Grenzen.
For decades, the software industry has made its living translating between domain experts and machines. What happens when the machine no longer needs that translation? A look at the SaaSpocalypse of early 2026 and what it reveals about a structural break in the software industry.
KI ermöglicht Unternehmen, Kosten und Time-to-Market in erheblichem Tempo zu optimieren. Was für das einzelne Unternehmen rational erscheint, kann kollektiv zu einem Ergebnis führen, das niemand anstrebt – eine Abwärtsspirale aus strukturellen Anreizen. Teil 1 einer fünfteiligen Serie.