16/10/2026
Myth or fact? 🤔
“AI is changing how engineering teams work." According to DORA's 2025 research, AI adoption among technology professionals reached 90%, with more than 80% reporting productivity improvements.
But faster coding doesn't necessarily translate into faster delivery.
DORA describes AI as an amplifier of existing engineering capabilities. Teams with strong foundations can accelerate their performance, while those struggling with technical debt, inefficient workflows or fragile infrastructure may find that AI makes those limitations even more visible.
When developers produce code faster than teams can review, test and deploy it, the bottleneck simply moves further down the development pipeline.
The real opportunity isn't just to generate more code. It's to build engineering systems capable of turning that increased output into reliable, scalable software.
Engineering velocity is ultimately about delivering valuable changes consistently, without compromising quality.
💬 Is AI helping your team deliver faster, or simply produce more code?