We learnt that there are better ways to develop software and manage work and companies, also in a remote scenario.
We discovered and recovered crucial skills and knowledge to build top-quality products, appreciated by users and crafted with pride by serious and enthusiastic professionals.
We’ve seen revolutionary companies succeed and ways to collaborate and deliver better results in shorter times.
We’ve met pioneers, innovators, and leaders. We embraced, experimented, shared, and discussed their and our ideas.
We explored disciplines and fields that looked far away, but turned out to be surprisingly close.
We discovered new ways to teach, to learn, and to share knowledge. We’ve applied this learning to the new fully-remote scenario.
In the last ten years, we’ve learnt a lot. Both online and in real life.
We could have done the same in five years. If only we knew how.
Upcoming Events
First edition 🟡 March 17 - 18 - 19, from 9:00 to 12:30 CETonline courseSold Out
Learn how to effectively use AI assistants in team workflows. Understand prompt engineering, verify AI outputs, and integrate tools systematically to improve productivity, collaboration, and code quality.
Domain-Driven Design and Event-Driven Architecture provide powerful platforms for modern and robust enterprise software.
However, theory and practice can appear incredibly distant, if your organisation is still bogged down with coupling and the associated coordination overhead.
We modelled complex software systems around the world, with EventStorming and modern architectures.
Software development is a cultural thing. You can fight it or embrace it.
Our experts are all about crossover knowledge: We understand the motivations of modern and traditional organisations and the dynamics of software development ecosystems.
We know how to build a platform to attract and retain talent and to build highly impactful software for the business.
It’s code, people, culture, strategy, clarity, and skills. They all matter.
Some problems can only be solved with the active collaboration of experts in different fields. Unfortunately, as the size of the problem increases, the quality of our discussion and models decreases: we end up stuck in an endless loop of round tables without unlocking a clear solution to the issue.
We have learned and invented tools to model highly intricate problems. We know how to blend models and languages to achieve a common goal effectively. We learned tricks to facilitate large groups’ converging toward a shared vision and to validate possible solutions.
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