Agile Is Not Dead. The Agile Industry Might Be.

I keep hearing it lately: “Agile is dead because of AI.” At conferences, in customer meetings, on LinkedIn. The reasoning is usually the same: If an AI agent builds in[...]

Why Vaadin Browserless Testing Is a Game Changer for AI Generated Web Applications

AI coding agents write code fast. The bottleneck is no longer typing, it is verification. How fast can the agent find out that the code it just wrote is correct? This is where[...]

The Three Levels of Spec-Driven Development, and Where the AI Unified Process Sits

Spec-driven development is a popular term at the moment. Everybody uses it, and everybody means something slightly different. Birgitta Böckeler from Thoughtworks wrote a helpful[...]

Code Is No Longer the Bottleneck. Requirements Are.

On August 21, 2026, Anthropic published The AI-Native SDLC Playbook. It is worth reading. It describes how the software development lifecycle changes when agents write most of[...]

From Plan-Build-Run to Specify-Generate-Verify-Operate

For about twenty years, most IT organisations were built around three words: Plan, Build, Run. It was a good model. It gave everyone a place. Plan owned the budget and the[...]

I hear the same sentence in almost every project I join. “We have a frontend team and a backend team.” Nobody questions it. It is just how software is built today. But[...]

Modernizing Legacy Systems with the AI Unified Process

Most software modernization projects do not fail because of technology. They fail because nobody knows anymore what the old system actually does. The code is there. It runs. It[...]

Use-Case 3.0: The Refreshed Guide to Driving Development with Use Cases

Use cases have been around since 1987. In May 2024, Ivar Jacobson, Ian Spence, and Keith de Mendonca published a refreshed guide called Use-Case 3.0. If you read my earlier post[...]

AI Writes the Code. This Book Still Teaches the Use Cases.

In the AI Unified Process (AIUP), the spec sits at the center. The use case is the unit of work. You write a system use case, AI generates the code, and tests confirm the[...]

Shift-Left: Getting the Spec Right Before the Code

In software, “shift-left” means doing the important work earlier. The earlier you catch a problem, the cheaper it is to fix. We learned this with testing and later[...]

Bug or Enhancement? How the AI Unified Process Handles Change Requests

In a spec-driven world, every change to the running system has a reason. Either the system does something it should not do, or we want it to do something new. AIUP captures this[...]

What, Harness, How: The Three Layers of AIUP

One of the recurring questions I hear about Spec-Driven Development is this: where does the spec end and the implementation begin? The line is often blurry. Specs leak into class[...]