AI made coding cheap. Building the right thing is now the hard part.

I help tech leaders adopt AI across the SDLC with a method: model the system first, then let AI build it. Hands-on workshops from an architect who ships, not a coach with slides.

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20+ years shipping with teams Forward Deployed Architect · Tech Lead 4 books, 10,000+ readers Creator of the MOSY method

AI didn't remove the bottleneck. It moved it to deciding what to build.

Writing code used to be slow. That slowness forced you to build a little, look at it and correct. AI took that pause away. The risk now isn't bad code; it's fast code nobody needed. The one checkpoint left is the model: a clear picture, agreed with the business, of what is worth building. With a good model, AI speeds up delivery. Without one, it speeds up waste.

See the MOSY method

My method, in three workshops

Model the system, then let AI build it.

For tech leaders who want AI in the whole development cycle, not only in the editor. Online and self-serve, with an invoice you can charge to your training budget.

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  1. Align: System Modeling

    You leave with a model of your system that product and engineering both trust: the input AI needs to build what the business asked for.

  2. Design: From Model to Architecture

    You leave with an architecture mapped straight from that model: components, boundaries, and the service decisions made, whether you start from scratch or refactor.

  3. Build: AI-Assisted Delivery

    You leave with a working delivery loop: functional tickets that your AI agents develop, you review and ship, with guardrails at each step.

Two clients, before and after

Sympower, Energy Sector ~50 employees

How the team starts out

A startup entering the scale-up phase, but unable to scale its platform, and therefore its teams, because of a monolithic architecture.

  • The infrastructure was replicated per client, with no support for multi-tenancy.
  • Although there were many plans to evolve towards a more modular platform, they stayed stuck and never made it into the roadmap, because no resources were allocated to them.

The result after working with Mosy

I introduced a visual architecture workflow the team could act on. Communication with stakeholders improved and the teams were reorganized. Complex components moved behind APIs, which cut cognitive load and let the company grow past 100 developers.

Core challenge

Transforming a monolithic, client-replicated architecture into a scalable platform with reusable components.

Key solutions

Domain-Driven Design, pragmatic extraction plans, Anti-Corruption Layer, Strangler Fig Pattern, and Software Architecture Facilitation.

Dutch Fintech startup funded by ING ~70 employees

How the team starts out

Improvised software architecture with decisions pulling in opposite directions. A hard-to-maintain monolithic integration layer caused team-collaboration issues. Lack of a clear technical vision to split B2C and B2B business strategies.

The result after working with Mosy

The legacy monolith was decomposed using a pragmatic approach, enabling parallel work. I applied Domain-Driven Design to place the B2C application as a client of the B2B platform, which allowed scaling the business.

Core challenge

Lack of technical vision and alignment across teams.

Key solutions

Architecture Community, B2B technical strategy, Microservices and Event-Driven architectures.

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Put AI to work on the right things.

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