A summer of growth in a learning organization in 2026
What were the latest training initiatives at Learning Organization Intré? The June camp, two internal training courses, and talks by our people at conferences.
Luca Pozzoli offers a reflection on Specification-Driven Development, an approach that shifts the focus from code production to the creation of complete, traceable and shared specifications.
A recap of the Intré Camp held on June 11, 2026. Luca Cruciani takes us back through a day of learning and collaboration, from the Gildonfiera experiment—dedicated to the Guilds of the first quarter of 2026—to the Unconference, with a brief overview of some of the sessions that took place.
Andrea Arrighi introduces Pi Coding Agent, inviting us to reflect on the emerging trend toward simpler, more transparent AI coding agents that give developers greater control over the software development process.
Carlo Ballabio talks about AI coding assistants. The real challenge is not generating code, but validating it. Knowing when to delegate to AI and when to stay in control.
Alberto Acerbis, in the second article of his series on Domain-Driven Design and AI, explores why the real risk of AI-driven systems is not the automatic generation of code, but the attribution of the correct meaning to domain concepts.
In this first of two articles on Domain-Driven Design and AI, Alberto Acerbis explores why, in the era of AI-generated code, the primary challenge is no longer producing software, but ensuring that it accurately reflects the intended meaning of the business domain it is meant to represent.
Conscious AI coding. In his second article, Damiano Salvi examines the cognitive and organisational consequences of the widespread adoption of AI assistants: cognitive load and team well-being, the erosion of skills, and the deeper implications for developers’ epistemic capacity.
Conscious AI Coding. In this first article of a two-part series, Damiano Salvi explores the main operational and architectural risks introduced by the ungoverned adoption of AI-assisted development tools.
Stefano Maffeis shares how his role has evolved: from being “just” a developer to becoming something different, thanks to AI agents.
When using LLMs to generate code, the quality of the results depends on the clarity and consistency of your language. Ubiquitous Language becomes a critical framework, acting as the control system for AI-driven development.