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Prompt engineering isn't completely dead. If you're summarizing emails or classifying support tickets, a well-written system prompt still gets you 90% of the way there. But if you're building agents, and most of us are building agents now, prompt engineering is the wrong mental model. It's not the bottleneck anymore. The system around the model is. What Prompt Engineering Actually Was From 2022 to 2024, most AI work was "how do I phrase this to get better output." Few-shot examples, chain-of-thought prompting, temperature tuning. The skill was about poking a stateless model and getting a useful single-turn response. That made sense when models were barely reliable and the main interface was a text completion box. The best prompt engineers I knew were essentially UX designers for language models. The craft was real. But it was always a workaround for a gap between what models could do and what they needed to do. As models improved and workflows got mor...

AI MCP Server for n8n: Building Intelligent Workflow Agents N8n just got a major power-up. With the integration of Model Context Protocol (MCP) servers, you can now build AI-driven workflows that think, reason, and act intelligently. Let me show you what this means and how to use it. What is MCP (Model Context Protocol)? MCP is a new protocol developed by Anthropic that standardizes how AI models like Claude interact with external tools and data sources. Think of it this way: Before MCP: Claude had no standard way to interact with external tools Claude → Custom integration → Tool Claude → Another custom integration → Different tool Claude → Yet another custom integration → Yet another tool With MCP: Clean, standardized protocol Claude → MCP Server ← All tools standardized ↓ Claude uses tools naturally Why This Matters Standardization: Same interface for all tools Simplicity: Developers don't reinvent the wheel Power: Claude can actually use external...

JavaScript Closures for Dummies  Closures Are Not Magic This page explains closures so that a programmer can understand them — using working JavaScript code. It is not for gurus or functional programmers. Closures are  not hard  to understand once the core concept is grokked. However, they are impossible to understand by reading any academic papers or academically oriented information about them! This article is intended for programmers with some programming experience in a mainstream language, and who can read the following JavaScript function: function sayHello ( name ) { var text = 'Hello ' + name ; var sayAlert = function () { alert ( text ); } sayAlert (); } An Example of a Closure Two one sentence summaries: a closure is the local variables for a function — kept alive  after  the function has returned, or a closure is a stack-frame which is  not deallocated  when the function returns (as if a 'stack-fr...