An ex-Azure engineer published six essays arguing Microsoft's cloud has been on life support since 2008, and the cause isn't bad code. It's bad people decisions. Rushed launch, post-launch talent exodus, no testing discipline, no architectural vision. Sound familiar to anyone who's worked in a place that ships first and staffs later? Now layer 2026 on top. Microsoft cut roughly 15,000 jobs in mid-2025. Coding agents are pumping out 4x more commits in 90 days. GitHub's unofficial uptime has slipped under 90% and the proposed fix is, wait for it, moving more of GitHub onto Azure. The same Azure the engineer says is held together with rushed decisions and wishful thinking. 🧠 The phrase that stuck with me is "knowledge dilution from high attrition." When the senior people who knew why a system was built that way leave, no LLM in the world can recover that context 🤖 More AI-written code does not mean less work. It means more code to review, test, deploy, and run, which means more compute and more humans needed downstream 📉 OpenAI signing an $11.9B compute deal with CoreWeave in March 2025 was the loudest "we don't trust your capacity" signal Microsoft has ever received from its closest partner 🪑 The bet that AI lets you cut headcount keeps colliding with the reality that AI generates work for humans faster than it removes it Every CIO I talk to is being pitched the same dream: fewer engineers, more agents, lower run rate. The Azure story is what happens when that math doesn't pencil out and the bill comes due in incidents instead of dollars. https://www.theregister.com/2026/04/04/azure_talent_exodus/ #Azure #AI #Leadership #security #privacy #cloud #infosec #cybersecurity #software #devops