When the Cloud Learns to Build Itself By Nigel Dsouza We used to build infrastructure like architects: carefully, slowly, with bluep...
For further actions, you may consider blocking this person and/or reporting abuse
For further actions, you may consider blocking this person and/or reporting abuse
I was just having a chat about this with my lead last week. We need to reassess our pipelines. Roles need to be redefined and some need to be created within existing pipelines otherwise we risk losing trust in the systems we develop.
It made AI-driven infrastructure feel more human and approachable. The shift from coding to guiding AI really changed how I think about future systems. Also appreciated the emphasis on ethics and sustainability🙌
This is scary, Nigel!!
Infrastructure an emergent behaviour, learning from values? Then the values must be embedded in the logs...
The Operator ensuring behaviour alignment with business, ethics and intent is reassuring.
And then there is your final question.......
Well said Nigel!! To be honest, the AI euphoria does sometimes worry me. You rightly say ""AI will build what we ask for. But what if we ask wrong?""
There will inevitably be times when we ask wrong, not from malice but from honest error or incomprehension. What then are the safeguards we need to build in, and how, so that "model error" does not lead to catastrophe?
Coming from the pharmaceutical industry, I’ll admit — the word Terraform initially made me think of science fiction, not cloud infrastructure. But this article was a surprisingly smooth read, even for someone who’s more familiar with batch records and stability data than backend systems and provisioning scripts.
What really struck me was how Terraform brings the same kind of standardization and automation to the cloud that we strive for in pharma — think SOPs, validated processes, and audit trails, but for infrastructure. Just like we don’t want variability in our drug batches, IT doesn’t want surprises in their environments. It’s oddly comforting to see that kind of discipline exists across industries.
Also, kudos for making it readable without making me Google every second word. A rare feat in tech writing these days. Looking forward to diving deeper — who knew cloud provisioning and pharma shared so much common ground?
Nigel Dsouza paints a very compelling picture of how AI is reshaping cloud infrastructure. Soon, we won’t be writing scripts — we’ll simply state our intent, to AI and AI will design, optimize, and deploy the system in real time.
Lets say for example “I need a fast, India-based system powered by green energy.”
AI will instantly assess costs, regulations, and energy sources — then spin up the ideal setup in minutes.
But with this comes responsibility. Nigel warns that if we don’t embed into the solution the right values — like security, sustainability, and fairness — we risk building systems that are efficient but ethically flawed. Hence, it is important to built a future which is not just automated but value-driven.
I enjoy the way you frame an article to put a point forth, keeps readers engaged
Thank you for such a visionary yet practical take👌
Interesting!
Insightful!!!🙌
Great to see this, eventhough the Ai will be depending on Human on certain areas
Interesting take!
Insightful. Appears that the developer has very little control about what is happens.
Thoughtful post on AI