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Deployment & Infrastructure Cookbooks

Getting a model, or an agent built on one, running somewhere real. Self-hosting on your own infrastructure, building tools it can call through MCP, and the practical tradeoffs of doing it yourself versus a hosted API.

In this collection: Self-Hosting an Open-Weight Coding Agent on AWS; Building Local MCP Servers for VS Code & Cursor with FastMCP; What is the Model Context Protocol (MCP)?.

AllDeployment & InfrastructureData & EvaluationPost-Training TechniquesModel Architecture & InternalsReinforcement LearningAgentic Systems
Deployment & Infrastructure·Setup Guide

Self-Hosting an Open-Weight Coding Agent on AWS

Run a private coding agent on your own AWS account: instance choice, setup, costs and security. No per-token API bills, and your code stays in your VPC.

AWSEC2vLLMQwenVS CodeDevOps
Deployment & Infrastructure·Setup Guide

Building Local MCP Servers for VS Code & Cursor with FastMCP

A step-by-step technical guide to building Python MCP servers with FastMCP, configuring VS Code and Cursor mcp.json, and debugging stdio JSON-RPC streams.

FastMCPMCPVS CodeCursorPythonAI Agents
Deployment & Infrastructure·Deep Dive

What is the Model Context Protocol (MCP)?

A technical architecture guide to the Model Context Protocol (MCP). Learn how it solves the M x N integration problem for AI agents and tool calling.

AgentsAnthropicMCP
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