How I built a contextually-aware AI assistant using Cloudflare Workers AI, Vectorize, and RAG. Learn about the architecture, prompt engineering, security hardening, and lessons learned.
A deep dive into building an AI-powered vehicle safety assistant using Azure AI Foundry, .NET, and Reinforcement Fine-Tuning. Learn about function calling, streaming responses, and training domain-specific models.
A deep dive into building an AI-powered terminal assistant from scratch. Learn about the ReAct pattern, tool execution, context management, and what it takes to build a real AI agent.
Introducing a comprehensive Model Context Protocol server that provides LLMs with direct access to the AT Protocol ecosystem, enabling seamless interaction with Bluesky and next-generation decentralized social networks.
Explore Wassette, Microsoft's innovative WebAssembly-based MCP server that revolutionizes AI tool security through sandboxed execution, fine-grained permissions, and the Component Model.
Introducing a comprehensive Model Context Protocol server that enables LLMs to explore and interact with the decentralized social web through standardized ActivityPub integration.
Build AI assistants that work without internet connectivity using OpenZIM archives. Learn about offline Wikipedia access, ZIM format optimization, and practical offline development workflows.
Explore how the Gopher protocol from the early internet era finds new life in AI tooling through the Model Context Protocol. Learn about Gopher's history, implementation patterns, and practical applications.
Learn how to build robust MCP servers with practical examples from gopher-mcp and openzim-mcp projects. Covers architecture, implementation patterns, and best practices.