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Single AI models are hitting a ceiling. The next era belongs to teams of agents that think, act, and build together  — and the Microsoft Agent Framework  is the engine making it happen. Developers are running into limits with solo-agent architectures: orchestrating multiple AI models, managing memory, integrating tools, and scaling in production can get messy fast. Microsoft Agent Framework solves that — unifying Microsoft Research’s AutoGen orchestration patterns  with Seman

AI adoption isn’t just about spinning up a model anymore.  It’s about speed, governance, and trust. In late 2025, Microsoft’s playbook for enterprise AI boils down to three words: CAF. Foundry. Landing Zones. Here’s how they fit together—and why this combo is your fastest route from idea to production. Connect with us on Discord! Join the Code to Cloud community here. 🔍 Why This Matters Now AI governance mandates are tightening. Generative AI is moving from hype to enterpris

Why This Matters Every few years, technology gives us a step-change — not a trend, not a fad, but a new baseline  for how modern organizations operate. Containers are that baseline today. Join the conversation! Follow The Code to Cloud podcast and become part of our cloud-native community. They aren’t new. They aren’t risky. They aren’t experimental. Their lineage goes back 40+ years — UNIX chroot in 1979, Linux containers in 2008, Docker in 2013 — and Kubernetes plus Azure K

Linux. Containers. Kubernetes. Automation. Infrastructure as Code. If those words keep appearing in job descriptions, you’re not imagining things. In 2026 , cloud-native and open-source skills are no longer “nice to have.” They’re the baseline for developers, DevOps engineers, SREs, and platform teams. The good news? You don’t need expensive bootcamps or proprietary platforms to learn them. You need the right open-source tools, real labs, and community-backed learning paths .