Microsoft has reduced its datacenter water use effectiveness by nearly 90% since the early 2000s, achieving a WUE of 0.27 L/kWh in 2025. The company replenished more water than it withdrew in FY25, re…
Microsoft released the Agent Framework, enabling developers to build custom agent harnesses with minimal code. The framework bundles function invocation, history persistence, planning, and web search …
Microsoft announced the general availability of the Azure Copilot Observability Agent, an AI-powered tool that correlates signals across agents, applications, infrastructure, and services to help orga…
A new analysis argues that claims about large language models having preferences, such as 'Claude prefers React,' are misleading because models lack preferences and instead reflect training data and c…
Microsoft announced a multibillion-dollar datacenter campus in Pecos, Texas, adding approximately 2 GW of capacity to meet surging AI and cloud demand. The project will support over 6,000 construction…
The carbon footprint of AI is projected to grow at a CAGR of nearly 44% through 2025, with computational costs doubling every few months. Training a single large NLP model can emit as much carbon as f…
Microsoft warns developers that overloading AI coding agents with redundant documentation wastes tokens and degrades performance. The company advises measuring baseline model knowledge first, then bui…
AI coding agent extensions can degrade performance when installed together due to token competition, vocabulary collisions, and guidance conflicts, even if each extension works well in isolation. Deve…
Microsoft executives emphasize that AI success requires both intelligence and trust, advising customers to build their own IQ on a diverse, open platform rather than depending on a single model. The c…
Microsoft's platform teams discovered that AI coding agents ignore new CLI tools and default to older, more documented predecessors due to training data gravity, even when explicitly instructed otherw…
AI agents using npx without specifying a version can inadvertently scaffold projects from outdated templates due to npm's engine compatibility resolution, which prioritizes older versions without engi…
Microsoft researchers warn that AI coding agent extensions may not improve code quality, urging developers to measure impact through controlled comparisons rather than relying on tool invocation as a …
Developers are wasting thousands of tokens by loading dozens of unnecessary skills into AI coding agents, as each skill's metadata consumes context window space even when not used. The practice of 'sk…
Microsoft has introduced Spec-Driven Development (SDD), a spec-first approach to AI-native engineering that uses structured specifications as a shared source of truth for humans and AI. The approach a…
University students graduating across the United States in 2026 are pushing back against the rapid adoption of artificial intelligence, booing mentions of AI at commencement addresses and rejecting AI…
Microsoft at Build 2026 unveiled a new GitHub Copilot desktop app enabling developers to direct multiple AI agents in parallel from a single interface. The company also launched seven new MAI models, …
Advances in artificial intelligence are accelerating biological discovery while simultaneously introducing new biosecurity risks, including the potential for re-engineered toxins and pathogens. Recent…
Microsoft launched the Learn MCP Server, giving any MCP-compatible agent direct access to current Microsoft documentation through a single endpoint with no installation or authentication required. The…
AI coding agents interact with developer tools like SDKs, CLIs, and APIs through a multi-step process that differs significantly from human usage, often bypassing documentation or extensions in favor …
AI coding agents often fail to generate correct code because they rely on outdated or missing training data, but developers can improve outcomes by optimizing agent extensions—the only layer of the te…