Название: Code Crash: Why Artificial Intelligence Turns Code Into Intent and Why We Now Need to Rethink Digital Products from Scratch
Автор: Matthias Schrader
Издательство: BoD - Books on Demand
Год: 2026
Страниц: 413
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

In 1865, economist William Stanley Jevons observed something counterintuitive: more efficient steam engines cut coal consumption per unit by 75% and drove total consumption up dramatically. The Jevons Paradox. That's exactly what's happening in software development today. AI drives the cost of code generation to zero. A Code Crash that changes everything. The result isn't less software. It's an explosion.

In 2017, Matthias Schrader published "Transformational Products", which became the definitive reference for digital product development in the German-speaking world. Now he's back with the sequel. He describes how AI is fundamentally reshaping digital product development. And why a window is opening right now.

Those who missed the first wave of digitalization get a second chance. Maybe the last one. Because when code costs nothing, the only thing that matters is who asks the better questions. Schrader delivers with Soul, System, Speed the operating model for this restart: from the transformational spark through technical architecture to the intent-to-production pipeline. With case studies, concrete methods, and a clear-eyed look at the risks.

With agentic AI coding tools such as Claude Code, large language models (LLMs) become extraordinary productivity engines. They now generate code that is ready to use straight away. This experience is currently repeating itself the world over. Developers report that within a matter of weeks they have shifted from manual coding to 80 per cent agentic AI coding – the single biggest change to the way they work that they have ever experienced.

The wider public has little inkling of this revolution. Yet it is equally true that the gulf between what is happening inside AI-centric software companies and within conventional IT departments is widening by the day. The irony: those who programme now programme in English. Or German, as the case may be. Not in Python, not in jаvascript – in natural language. That stings the professional pride of those who have done the programming until now. But the leverage is too great to ignore. The answer to what a world looks like once the problem of software development is solved: it will be a radically different world. To reach that point, I need to explain briefly why software development was a problem in the first place.

For everyone who wants to get it right this time.

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