A field-tested walkthrough for wiring an n8n instance into Claude Code over MCP, covering server install, tool registration, environment variables, and the debugging steps that actually unblock the stdio handshake.
A production guide to prompt caching with Claude, OpenAI, and Gemini. Learn cache breakpoints, TTL strategy, prompt structure, and the seven mistakes that silently kill your cache hit rate.
Learn to build production AI agents with the Claude Agent SDK in Python. Step-by-step guide covering custom tools, safety hooks, subagents, MCP integration, structured outputs, and deployment patterns with working code.
MCP became the standard for AI tool integration in 2026 — and attackers followed. This guide covers the MCP threat landscape and walks through four defensive layers with working Python code: tool verification, authorization middleware, runtime monitoring, and sandboxed execution.
A hands-on guide to production-grade AI workflow orchestration — covering LangGraph checkpointing, Temporal durable execution with retry policies and Saga compensation, and the two-layer architecture for mission-critical agent pipelines.
A hands-on guide to production prompt engineering in 2026, covering structured outputs for guaranteed schema compliance, prompt chaining, chain-of-thought reasoning, automated optimization with DSPy, and prompt version control with CI testing.