Insights & Articles
A Curated Collection of Thought Leadership Shaping the Future of Platform Engineering, DevOps, and High-performance Software Teams.
AI accelerated our coding dramatically. What surprised us was not the speed itself — it was where the bottlenecks moved once implementation stopped being the slowest part of delivery.
AI tools are effective at generating implementation. But shared understanding of how systems actually work — their boundaries, risks, and operational consequences — still needs to be intentionally human-owned.
Most conversations about AI focus on tooling. What surprised us was that many of the more significant changes were organisational — how teams are structured, how coordination happens, and how we define progress.
AI isn't reducing the importance of software engineers. It's expanding where strong engineers have meaningful impact — from pure implementation toward understanding problems, shaping outcomes, and refining systems.
The Paradox of Growth in Software Engineering: As Teams Grow, Their Speed of Delivery Slows Down.
How to Scale Your Software Team Without Slowing Down.
How to Reduce Friction, Free Your Best Engineers, and Build Trust … by Design.
Turning Releases From Heroics Into Routine Progress.
