7 articles
Microsoft's Resource2Skill paper points at the next agent-skills problem: converting videos, repos, articles, and reference artifacts into executable skills without losing provenance.
Microsoft Execution Containers (MXC) give your AI agents policy-driven sandboxing across Windows, Linux, and macOS. TypeScript SDK, JSON config, multiple isolation backends. Here is how to use it.
Microsoft merged AutoGen and Semantic Kernel into a single production-ready SDK. Here is everything developers need to know: architecture, installation, migration paths, pricing, and when to use it over LangGraph or CrewAI.
On June 16, 2026, Microsoft's Work IQ APIs reach general availability - a workplace intelligence layer that hands agents pre-assembled, permission-trimmed Microsoft 365 context instead of raw Graph calls. Here is what the four domains, three protocols, and consumption pricing mean for developers building enterprise agents.
Microsoft unveiled seven in-house MAI models at Build 2026, including MAI-Code-1-Flash now shipping in GitHub Copilot. Here is what the MoE architecture, training data, and Copilot rollout mean for your team's toolchain decisions in H2 2026.
Microsoft's new in-house coding model matters less as a benchmark headline and more as a signal that Copilot is becoming a routing layer for cost, latency, ownership, and review quality.
Microsoft's PHI-4 is an MIT-licensed 14 billion parameter model that matches Llama 3.3 70B and Qwen 2.5 72B on key benchmarks. Here is what makes it special, how to run it locally, and why small language models are increasingly practical for real development work.
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