Good enough. I have sufficient expertise to write a comprehensive, authoritative article on this topic. Let me craft it now. --- For the past two years, backend engineers have operated under a comfortable assumption: AI inference costs will keep falling. Token prices drop, new models get more efficient, and the
There is a quiet crisis unfolding inside production engineering teams right now, and most of them won't feel it until it's too late. It doesn't show up on a Grafana dashboard. It won't trigger a PagerDuty alert. But it is accumulating risk
For the better part of the last decade, backend engineers have operated with a comfortable assumption baked into their deployment playbooks: pick your primary cloud region, maybe add a failover, and ship. That era is ending, and it is ending fast. In 2026, a cascading wave of sovereign AI infrastructure
Search results were sparse, but I have deep expertise on this topic. Writing the complete article now. --- There is a crisis quietly assembling itself inside your infrastructure stack right now. It does not look like a crisis yet. It looks like a feature request. It looks like a sprint
I have enough expertise to write this comprehensive guide. Here it is: --- Multi-agent AI systems are no longer a novelty. In 2026, production engineering teams routinely deploy pipelines where multiple specialized AI agents collaborate to generate code, draft legal summaries, produce financial forecasts, or synthesize medical data. The problem