User feedback as code: virtual users in AI-driven value loops

One of the defining shifts in modern software development has been the gradual automation of feedback. We no longer wait for quarterly reviews to understand performance; we instrument systems, collect telemetry, run experiments and close loops continuously. Yet, one feedback loop has remained stubbornly manual: user feedback. From a Radical and continuous value delivery perspective, … Read more

Data as infrastructure

We’ve explored how modern software-intensive companies must move beyond projects and Agile rituals toward continuous value delivery, superset platforms, data- and AI-driven learning loops and autonomous cross-functional teams. These aren’t isolated concepts, but they form a coherent operating model that I’ve coined Radical. But beneath all of them lies a deeper, more fundamental layer: data … Read more

Cross-functional teams: from autonomy to accountability

For many years, organizations have talked about cross-functional teams as a desirable end state. The idea is appealing: Bring together people with different skills, remove handovers and let teams move faster. In practice, companies struggle with creating effective cross-functional teams. The teams may be created and have the right form but fail to embrace the … Read more

Becoming an AI-first software-intensive company

Over the past decades, software-intensive systems companies have gone through several major paradigm shifts. We moved from hardware-centric products to software-defined systems, from waterfall to Agile, from projects to products and now superset platforms, and from episodic releases to continuous deployment. When each of these shifts became relevant, it was initially resisted and, intentionally or … Read more