Kenny Baas-Schwegler
Kenny Baas-Schwegler is a socio-technical organization designer and software architect. He blends IT approaches like Domain-Driven Design and Continuous Delivery and facilitates change through using visual collaboration practices, the Cynefin framework and Deep Democracy.
A lot of knowledge is lost when designing and building software — lost because of handovers in a telephone game, confusing communication by not having a shared language, discussing complexity without visualization and by not leveraging the full potential and wisdom of the diversity of the people. That lost knowledge while creating software impacts the sustainability, quality and value of the software product. Kenny empowers and collaboratively enables organizations, teams and groups of people in designing and building sustainable quality software products.
One of Kenny’s core principles is sharing knowledge. He does that by writing a blog on his website baasie.com and helping curate the Leanpub book visual collaboration tool. Besides writing, he also shares experience in the Domain-Driven Design community as an organizer of Virtual Domain-Driven Design (virtualddd.com) and Domain Driven Design Nederland. He enjoys being a public speaker by giving talks and hands-on workshops at conferences and meetups.
Upcoming courses
Boost your impact by mastering how to clearly communicate technical ideas in business terms and influence stakeholders like a CTO – all in just one day.
Lead AI adoption with clarity and confidence. In three days, you’ll gain the strategic insight, governance foundations, and practical tools to guide responsible AI implementation, align leadership, and turn AI ambition into measurable business impact.
Agentic AI introduces a new generation of systems that can plan, reason, and take actions. In this hands-on course, developers will learn how to build AI agents using modern tooling and Google Cloud Platform, exploring concepts like tool use, planning, and multi-step reasoning.
Through demos, guided exercises, and collaborative activities, you’ll explore how agents make decisions, where they can add value, and what risks and limitations to watch for. You’ll leave with practical ideas for applying agentic AI in your own team or organization.
