Microsoft’s Top 5 AI Releases from Build 2025
GitHub’s Autonomous AI Coding Agent Arrives
Microsoft unveiled the GitHub Copilot coding agent, marking the evolution of Copilot from an AI assistant to an autonomous team member that can be assigned GitHub issues and create pull requests. The agent starts work when assigned a GitHub issue, creating a draft pull request and iterating based on review comments. It operates asynchronously by spinning up a secure development environment and analyzing code using advanced reasoning. Available to Copilot Enterprise and Copilot Pro+ customers, it excels at tasks like adding features, fixing bugs, refactoring code, and improving documentation. Security is built-in, with the agent respecting branch protections, requiring human approval before running CI/CD workflows, and following custom security policies.
Building a Secure Agentic Future on Windows
Microsoft is advancing its Windows AI strategy with native support for Model Context Protocol (MCP) on Windows 11 and the introduction of Windows AI Foundry – a foundation for AI agents to operate within the Windows ecosystem. MCP integration will bring Anthropic’s protocol to Windows 11, enabling AI agents to connect with native apps, system services, and external tools. Microsoft also introduced the Windows AI Foundry, a new framework to help developers fine-tune and run AI models directly on Windows PCs, supporting open-source and custom model deployment across CPUs, GPUs, and NPUs in Copilot+ PCs.
Copilot Tuning Enables New AI Customization
Microsoft debuted Microsoft 365 Copilot Tuning, a low-code tool built into Microsoft Copilot Studio that enables organizations to fine-tune AI models using their own internal data, workflows, and domain expertise without requiring technical skills. Companies can train AI models on their proprietary documents, processes, and institutional knowledge to create company-specific agents in Agent Builder. The low-code tooling lets you build domain-specific AI agents that reflect organizational language, terminology, and format for targeted tasks.
Azure AI Foundry Debuts Advanced Agent Tools
Azure AI Foundry launched key updates including new AI models, fine-tuning, enhanced interoperability, and multi-agent orchestration that expand developers’ ability to design, customize, and manage AI apps and agents. The platform now offers access to various AI models, and developers can fully customize these models through fine-tuning techniques. Foundry Agent Service is now generally available, offering developers ready-to-use templates, actions, and connectors to build secure AI agents. Other tools include a model leaderboard for ranking top AI models by task and a model router, which selects the best model for each query in real time.
Microsoft’s Breakthrough in Scientific Discovery
Microsoft unveiled Microsoft Discovery, an AI-powered platform designed to revolutionize scientific R&D by deploying specialized AI agents throughout the entire research lifecycle. Microsoft Discovery taps specialized AI agents to automate and enhance every phase of the scientific research lifecycle, from ideation to experimentation. Built as a flexible, modular environment, it allows organizations to customize and extend workflows with industry-specific tools, plugins, and data sources. The platform fosters seamless collaboration between researchers and AI agents, enabling agents to handle the routine, data-intensive tasks.
CTO Kevin Scott on Microsoft’s Open AI Ecosystem
Microsoft CTO Kevin Scott outlined the company’s vision for an “agentic web” where AI agents move autonomously across platforms and tools in collaboration with people. Microsoft is adding native support for open agent protocols including MCP and A2A across platforms like Copilot Studio and Azure AI Foundry. Scott was particularly excited about MCP, comparing it to HTTP for its simplicity in connecting AI models with external tools. Microsoft also introduced NLWeb, an open-source project to help turn websites and APIs into agentic apps, and make content accessible to agents using MCP.
Conclusion
Microsoft’s announcements at Build 2025 showcase its ambitious vision for an “open agentic web” where AI agents collaborate seamlessly with humans across platforms and tools. From autonomous coding agents to AI-powered scientific discovery, Microsoft is pushing the boundaries of what’s possible with AI. These advancements pave the way for more scalable, enterprise-ready AI solutions that can integrate with existing business data and processes.
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