Blog
Product updates, guides, and engineering notes from the team.
Loop Engineering: The Complete Guide
Loop engineering is the discipline of designing the system that prompts, verifies, retries, and stops an AI coding agent — not just the prompt itself. The definitions, the anatomy of a loop, the named techniques, and where to start.
MCP.so TeamThe Ralph Loop, Explained: An Autonomous AI Coding Technique
The Ralph loop (aka the Ralph Wiggum technique) restarts a coding agent from a clean context every iteration, reading its progress from a state file on disk. Here's how it works and how to run one.
MCP.so TeamThe 4 Types of Loops in Claude Code (and When to Use Each)
Claude Code has four built-in ways to run a loop: turn-based, goal-based (/goal), time-based (/loop and /schedule), and proactive routines. Here's what each one is for, based on the Claude Code team's own framework.
MCP.so TeamAI-Native Standard MCP Suddenly Goes Viral!
Developers are debating whether MCP is a genuine breakthrough or just another buzzword — here's what's fueling the hype, and what LangChain's founders think.
Model Context Protocol (MCP): The Ultimate Bridge Between AI Models and the Real World
How MCP's client-server architecture lets Claude and other models plug into tools, databases, and APIs safely — plus a hands-on look at building your first MCP server.
Model Context Protocol (MCP): The AI Interface Revolution Like CUDA
Is MCP just another integration standard, or the durable moat that makes an agent ecosystem defensible? A look at why developers are comparing it to CUDA.
MCP.so TeamModel Context Protocol (MCP): The Future Standard for AI Tool Integration
MCP standardizes how AI models talk to tools, APIs, and services — why it matters, how it is being used today, and where the ecosystem still needs to mature.