At Build 2026, Microsoft recentered Windows as a core platform for modern software and AI development rather than just a traditional desktop OS. The company introduced tools and platform updates aimed at making Windows faster to set up, more comfortable for Linux-native workflows, and safer for running increasingly capable AI agents on local devices.
Leadership framed the strategy around reducing friction for developers who move between local machines, containers, and cloud environments, while keeping performance, security, and flexibility at the forefront.
Faster Windows 11 setup and better Linux workflows
A key focus of the announcements is speeding up the path from a fresh machine to a ready-to-code environment. Windows Developer Configurations let developers bootstrap a complete setup with a single WinGet command, installing tools such as Git, PowerShell 7, WSL, Visual Studio Code, and GitHub-focused CLIs, while also applying sensible developer system settings.
For those who regularly work across Linux and containers, Coreutils for Windows is now generally available, bringing familiar GNU-style command-line behavior via a Rust-based implementation. Microsoft is also expanding the Windows Subsystem for Linux with WSL containers, enabling Linux containers to run directly on Windows with a native CLI and API, with public preview expected soon.
AI-assisted terminals and agent-driven development
Windows is also gaining built-in AI assistance directly in the command line and app-building workflows. The new Intelligent Terminal layers context-aware AI into Windows Terminal, helping developers debug issues, compose multi-step commands, and automate shell workflows without leaving their terminal session.
In parallel, Windows Development Skills provide structured knowledge about Windows UI and application tooling that agents can call on to generate native Windows apps using technologies such as WinUI 3 and WinApp CLI. This capability, now generally available, is designed to let AI agents participate more directly in Windows app development while staying aligned with platform best practices.
Windows as a secure runtime for AI agents
One of the most significant strategic shifts is Microsoft’s effort to make Windows a trusted, policy-driven environment for running AI agents. Microsoft Execution Containers (MXC) introduce an OS-level containment layer that defines what agents can access at runtime across files, network, and system resources, with different isolation modes depending on workload risk and intent.
Agent 365 with MXC will extend protections from existing Microsoft security services down to local agents, bringing identity, compliance, and endpoint controls into AI-heavy workflows on Windows devices. Early partners are already building on MXC, and Microsoft is positioning this stack as the foundation for secure, agent-native applications on the desktop.
Local AI models, APIs, and hardware for on-device workloads
To reduce reliance on cloud compute and improve responsiveness, Microsoft is introducing new Aion 1.0 models optimized for on-device use. Aion 1.0 Instruct targets fast, everyday language tasks such as summarization and rewriting, while Aion 1.0 Plan is a larger reasoning and tool-calling model intended for more complex agentic workflows.
These models plug into expanded Windows AI APIs that can run across CPUs, GPUs, and NPUs, allowing more Windows 11 devices to handle speech recognition, video processing, and other AI features locally instead of offloading everything to the cloud. A new speech recognition API supports on-device transcription for live and recorded audio, broadening the set of AI-powered experiences developers can build directly on Windows.
To support heavier AI workloads, Microsoft is aligning the software stack with a new wave of developer hardware, including devices like the Surface RTX Spark Dev Box and DGX Station for Windows, which are designed to run large models – including trillion-parameter systems – on premises. Project Solara, introduced as an agent-first computing concept, hints at future Windows experiences where users interact primarily with persistent AI agents rather than juggling individual applications.
Security updates for the AI era
Security underpins many of these announcements. Microsoft is extending OS-level protections with tighter identity controls, runtime containment, and stricter standards for drivers and authentication to help mitigate system-level risk. Expanded Smart App Control and App Control for Business support on more devices aim to raise the default security baseline, especially as AI agents gain more autonomy and access to local resources.
Taken together, Build 2026 marks a clear repositioning of Windows as a trusted, AI-focused development platform: one that blends faster setup, Linux-friendly tooling, local AI, strong security boundaries for agents, and specialized hardware to support the next wave of intelligent applications.
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