Part 5 of 5. Across this series the game has reasoned about a founder, designed a digital workforce for their venture, executed chapters through Microsoft Foundry agents, and gated every artifac...

There is a quiet shift happening in how we build software with AI. We are moving from writing static code to orchestrating living systems where developers and AI agents co-create, observe, and evolve...

If you are a student aiming to become an AI engineer or a software developer, the terminal is about to become your most powerful classroom. https://github.com/features/copilot/cli/ brings an AI agent...

If you use the GitHub Copilot CLI with Model Context Protocol (MCP) servers, you may have hit this message on launch: Copilot CLI's incomplete support for .vscode/mcp.json has been removed. S...

Part 4 of 5. If you publish an agent project today, you are caught between two forces. The interesting behaviour lives in the cloud - Foundry models, Foundry IQ retrieval, the Agent Service memo...

Large language models now write code straight from a prompt, but the specification in between is never checked, and a model asked to judge its own work brings the same blind spots to the review. We b...

Part 3 of 5. Most multi-agent demos have a quiet secret: the human's decisions change nothing. You approve an artifact, reject another, pick a direction at a fork - and the next agent runs with ...

On-Device LLMs Are Starved for Memory Intelligence The shift toward on-device language model inference is accelerating. Platforms like Microsoft's Foundry Local, Ollama, and llama.cpp now make it p...

Part 2 of 5. In Part 1 the loop ended at a verification gate. This post is about why that gate is not a confirmation dialog - it is the core mechanic, the reliability story, and the thing that l...

The first mistake we make with AI is not technical. It is linguistic. We say the model reads the prompt, then we build systems as if that sentence is true. It is not. The model does not consume t...