Microsoft’s AI-powered code review assistant has transformed pull request workflows by automating routine checks, suggesting improvements, and enabling conversational Q&A, leading to faster PR completion, improved code quality, and enhanced developer onboarding. Its seamless integration and customizability have driven widespread adoption within Microsoft

I don't recall ever asking you to do that.

Evaluates various repository structures and designs for maximizing the efficiency of Data Scientists and Software Engineers developing, promoting and deploying AI models on the same project.

When building applications that interact with databases, developers frequently encounter scenarios where default SDK configurations don't align with their specific operational requirements. They need to customize SDK behavior to address real-world challenges like network instability,...

For completeness, but not for functionality.

We've been talking a lot about the Model Context Protocol (MCP) lately, including recent blog posts and sessions at Microsoft Build. In this post, I'd like to share some top tips for how you can use MCP servers we've been building to improve your developer productivity.What's the...

Custom Engine Agents now generally available—build and integrate your own AI into the flow of workMicrosoft 365 Copilot is redefining how people interact with AI—embedding it directly into the flow of work as the intuitive, natural interface for agents: the ‘UI for AI’As...

The artificial intelligence landscape presents unprecedented opportunities for Java developers. With decades of experience building robust enterprise applications using Spring, Quarkus and Jakarta EE, Java developers are uniquely positioned to create sophisticated AI solutions. The...

It doesn't say what it does on the tin.

Improvements to \#pragma warning and gsl::suppress in Microsoft C++ Code Analysis.