Showing archive results for 2026

Development workflows span terminals, IDEs, background agents, and custom assistants. What matters is whether they draw from the same current source. Learn MCP Server gives any MCP-compatible agent direct access to current Microsoft documentation - one endpoint, nothing to install, no authentication required. What does that look like in practice...

You ship an SDK, a CLI, an API, and developers use it. Now AI coding agents use it too, except they use it differently than humans do. Most of the time you have no idea what's actually happening between "developer types a prompt" and "agent generates code with your technology." Is the agent reading your docs? Is it calling your MCP server? Is it ig...

AI coding agents promise to make you more productive. On the surface they do, but in practice they fall short: agents generate code that doesn't compile, use a deprecated SDK, or pick the wrong service entirely. Is it you using it wrong? Is it your tech stack? Or is it the tools you haven't configured yet? The stack between a developer's prompt ...

"A bad system will beat a good person [or agent] every time" ~Dr. William Edwards Deming (with apologies) I started vibe coding by writing prompts (often dictated into my phone), refining them with an agent in M365 Copilot, and creating handoff files to use with GitHub Copilot CLI. The results were predictably non-deterministic. Prompt-driven d...

A team was running at 100% RU utilization. Throttles were compounding into retries. P99 latency was degrading. The assumption was obvious: provision more throughput. They didn’t. Instead, they found a single logical partition absorbing more than 80% of traffic. After fixing the data model—without scaling the database—RU utilization dropped to...

Want to build AI agents with JavaScript that go beyond basic chat completions? Agents that reason, call tools, and pull from knowledge bases on their own? We put together a free, open source course to help you get there. LangChain.js for Beginners is 8 chapters and 70+ runnable TypeScript examples. Clone the repo, add your API key to a .env file...

The Model Context Protocol (MCP) is quickly becoming a common way for AI agents to discover and use tools. It provides a consistent interface to databases, APIs, file systems, and third-party services, which makes it easier to plug capabilities into agent workflows. However, MCP standardizes the execution surface without defining how that surfac...

PostgreSQL is a powerful and hugely popular database engine, and it really comes alive across Microsoft developer platforms. You can build with PostgreSQL across Azure offerings, develop productively in Visual Studio Code with strong extensions and tooling, and connect your data to agentic development workflows and AI services. There's amazing oppo...

Back in July, we launched the Awesome GitHub Copilot Customizations repo with a simple goal: give the community a place to share custom instructions, prompts, and chat modes to customize the AI responses from GitHub Copilot. We were hoping for maybe one community contribution per week. That... did not happen. Instead, you all showed...