Three angles on the current generation of AI - the assistant most teams build on, the design tool from the same lab, and the engineers worth following as the agentic field evolves.
A short, honest tour of the term everyone is using - what agentic AI actually means, how it differs from a chatbot, the loop that powers it, and where it earns its keep in real work.
Read it →Portable, composable units of expertise an agent can load on demand - the way you teach Claude (or any modern LLM agent) to do specialised work without rebuilding the model around it.
Read it →Anthropic's AI assistant - a family of large language models built for conversational reasoning, writing, coding, and analysis, with safety as a first-class design goal.
Read it →Anthropic's coding agent that runs in your terminal - reads your codebase, edits files, runs commands, and ships features. Claude with your shell at its disposal.
Read it →Anthropic Labs' AI design tool - generate complete visual concepts, UI mockups, slides, and design assets from natural-language prompts.
Read it →Microsoft's open-source framework for building agentic AI applications - the successor to AutoGen, with first-class C# and Python SDKs and an Azure AI Foundry integration.
Read it →The six frameworks teams reach for when they move from one-off prompts to real agents - LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, and Microsoft Agent Framework, lined up side by side.
Read it →The open standard for connecting AI assistants to the tools and data they need - one protocol every model speaks, one server every host can plug into.
Read it →Three building blocks people keep mixing up - the unit of action, the protocol that plugs it in, and the folder of know-how that tells the agent when to use it.
Read it →Google's image generation model - real-time, conversational image creation inside Gemini, the Gemini API, and the wider Google creative stack.
Read it →The capability tour - vibe edits, style transfer from a reference, legible in-image text, infographics on Pro, and the Fast / Thinking / Pro speed picker.
Read it →Notable people to follow for agentic AI, AutoGen, and Microsoft Agent Framework work - the engineers and architects whose feeds are worth reading first.
Read it →