AI Engineering Transformation
AI is increasing engineering supply faster than organisations can absorb it. The real job of the CTO is shifting from making engineers faster to redesigning the system that now has to keep up with them.
Systemic CTO
Value streams, ownership boundaries and data interfaces: the grey areas that decide outcomes.
Enterprise Architecture
From three months to three days on a business-critical legacy system.
Quality Engineering
A capability map of methods, architecture, management, organization and skills.
Enterprise Architecture
The evolution path from monolith to modular monolith to services, and when it stops there.
Enterprise Architecture
A step-by-step assessment of business, methods, architecture, engineering, technology, management and skills.
Quality Engineering
How Zalando rebuilt its architecture, management, organisation and skills to sustain growth, with positive impacts on innovation, productivity and growth.
Enterprise Architecture
Three architecture practices that give a moving platform stable points of construction.
Enterprise Architecture
How Piper, trunk-based development, code ownership and automated testing make Google’s monorepo workable—and what that model costs.
AI Engineering Transformation
Agents act on whatever your organisation has written down about its systems. Most of it is stale, unowned or scattered, and adding more of it does not seem to help. This piece sets out a context supply that does, and how to measure it.