Controlled AI-assisted delivery, DevSecOps and compliance engineering, written from inside environments where somebody eventually has to answer for the outcome. 8 posts and counting.
Google has put an actual spacecraft behind orbital AI compute. The interesting question is not whether a TPU survives launch, it is whether a formation of solar-powered satellites connected by lasers can behave like a data centre. If it can, the first interplanetary civilisation will not announce itself. It will look like a business decision.
The AI infrastructure trade has quietly become a bet on transmission, transformers and construction schedules. Oracle is the clearest case because its numbers make the physical and financial relationship legible. You do not need an AI winter to make the model creak, you just need the grid to behave like an old grid.
DoorDash built a multi-agent LLM system to clean up stale feature flags across 623 repositories. The engineering is genuinely clever. The question nobody asks is why a temporary construct became a population of 60,000. A runtime switch is a migration path or an executable path, and only one of them is allowed to survive.
Microsoft shipped fixes for the better part of a thousand vulnerabilities in a single Patch Tuesday, including two already being exploited. That is not a story about Microsoft. It is what an industrial-scale problem discovery mechanism looks like, and it exposes the fact that we have spent thirty years measuring how fast we ship and never once measuring the quality of what arrived.
After 3 years of GAR we've seen AI everything - horror stories and fairytales in every news article, so where are we heading with LLMs and AIs?
With Atlas, Salesforce have driven architecture into Agents - that's critically important for performance and cost. Atlas is not another agent workflow; it's a mature and well-considered architecture that we all can use.
How to market complex AI products without dumbing them down: why agentic buzzwords fail buyers, and why translation beats simplification in enterprise AI.
Azure Cognitive Services is merging multiple products into a single platform, does this measure up in terms of functionality - lets review Questions & Answers!
