Microsoft Build 2025: AI Agents & the ‘Open Agentic Web’ Take Center Stage
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AI headlined Microsoft Build 2025. For four kinetic days, our on-site team watched Satya Nadella and company roll out agent-driven developer tools, smarter Azure services, and Copilots wired into every corner of the Microsoft stack. The takeaway: AI isn’t an add-on anymore. It’s the operating principle shaping how developers build and how enterprises work.
The Rise of AI Agents and the Open Agentic Web
At the heart was Microsoft's vision for an "open agentic web," where AI agents operate autonomously to perform tasks on behalf of users and organizations. Microsoft CEO Satya Nadella spotlighted GitHub Copilot’s leap from mere autocomplete to a full-on AI coding partner—one that now debugs, ships new features, and refactors code with minimal human help.
Microsoft’s new multi-agent toolkit lets AI bots hand tasks to one another. Developers can now build self-organizing systems that wipe out busywork and accelerate complex workflows--from finance to healthcare and beyond.
Enhancements in Developer Tools and Platforms
Developers received a suite of new tools designed to simplify and accelerate AI integration
- GitHub Copilot Enhancements: Now featuring asynchronous coding agents and enterprise controls, enabling more efficient and secure code development.
- Windows AI Foundry: A unified platform supporting the AI developer lifecycle, from training to inference, directly within Windows environments.
- Azure AI Foundry Expansion: Integration of over 1,900 AI models, including Elon Musk's xAI Grok 3, providing developers with a diverse range of tools for building intelligent applications .
- NLWeb Protocol: A new initiative to transform websites into agentic applications, allowing natural language interactions and enhancing user experiences. Microsoft used the term "HTML for Agents" for NLWeb.
When to use AI Agents according to Microsoft
| Scenario | What’s Uncertain? | Best Tool |
|---|---|---|
| Deterministic process & deterministic outcome | Nothing—steps and results are locked in | A single LLM prompt gets the job done. |
| Deterministic process or probabilistic outcome | Some variables—either the steps or the result can wobble | Bring in one agent to steer and adapt. |
| Probabilistic process & probabilistic outcome | Everything—both the path and the destination can shift | Field multiple collaborating agents for checks, balances, and creative fixes. |
Successful Agent implementation
For a successful agent implementation developers need to be careful about 4 crucial items.
- Prompt
- Actions
- Pattern
- Evaluation, Security, Monitoring.
Azure AI Foundry
You can find all details and sessions from the MS Build 2025 official event.
