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…
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, …
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AI coding agents often fail to generate correct code because they rely on outdated or missing training data, but developers can improve outcomes by optimizing agent extensions—the only layer of the te…
The C# team is redesigning the `unsafe` keyword to enforce stricter memory safety contracts, expanding it from marking pointer usage to any code the compiler cannot validate as safe. This change, plan…
The ERROR_ARENA_TRASHED error code (error 7) originated in MS-DOS, where it indicated that the memory arena headers—used to track allocated and free memory blocks—had become corrupted, as the system d…
Microsoft engineers developing AI agents are adopting a new methodology called Agentic-Agile development to address the failures of prompt-driven and spec-driven approaches for large-scale projects. T…
At Azure Cosmos DB Conf 2026, engineers from OpenAI, Vercel, and Walmart shared case studies demonstrating that database performance failures are almost always design failures, not capacity issues. An…