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Context engineering vs prompt engineering. 10+ examples
Context engineering vs prompt engineering might sound similar. One is subset of the other. Early in the LLM era everyone who knew how to form sentences, and at least vaguely, describe what they want became a “prompt engineer”. Tweaking words, hashtags, ‘special’ commands, using roles, adding examples, using words to dive deep into different embedded spaces of knowledge in hope to force the model “gets it.” That’s Prompt Engineering – crafting clever one-shot instructions like “You are an expert X. Do Y like Z.” Context engineering vs prompt engineering synergies across both. System got fat and grew bigger, then we realized prompts alone aren’t enough. What the model knows, when…
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Semantic collapse in RAGs by Stanford
Semantic collapse in RAGs by Stanford provides a way to keep on those MCP servers alive. After all … how do you know that you’re actually learning more, and not forgetting even more than you learn?You test ? 🙂 Will be the first one when i see an MCP server tested around the clock for proper, deterministic return values. Stanfors is the best -> dho.stanford.edu/wp-content/uploads/Legal_RAG_Hallucinations.pdf Semantics asks what an expression means. Logic asks whether an argument is valid or whether a statement follows from other statements. A sentence can be semantically meaningful but still logically false. All birds can fly. Penguins are birds. ∴ Penguins can fly. Formally valid, but…
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Structure for instructions, agents and skills
This all is the provide a nice clean idea on how to store your files so You can make Your AI assistant / LLM network understand what and how to do. Acording to Your more or less strict rules. This should help You to achieve more repeatable results as expected. The problem : generic answer Do not confuse with generic functions, those rock ! Out-of-the-box, any LLM (here copilot) creates generic code. You could call it ‘vanilla’ flavour. It doesn’t know your conventions, library preferences patterns / anti patterns. This results in something that might work but is hard to maintain, totally different then the rest of the lot and…
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Code mode for mcp servers and llms
Code mode for mcp servers is about LLM writing and calling the code to use a proper MCP instead of calling it directly with the whole context. It makes the call a lot smaller, no overhead is passed, just the basics that are required to call the proper MCP method. Just as You do in code, method or a function, proper parameters, everything validated and… BAM ! We are returning a context that LLM uses in further stages. Anthropics wrote… This is really nice looking but only for a huge models with a 1kk tokens of a context. We need to remember that this is not possible on any kind…
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How to use Context7 mcp server
What is Context7? Context7 is an open-source MCP server that provides real-time, version-specific documentation and code examples for over 50,000 libraries. It integrates seamlessly with AI tools like GitHub Copilot, Claude, or custom LLM agents. Why use it? How to use Context7 mcp server ? You can play around on the main page of the project or simply use a curl to fetch the data You wish so look up : context7.com/api/v2/docs/code/vuejs/pinia?topic=log&tokens=666 How to Configure Context7 How to use Context7 is really simple, just add a proper config entry and the plugin You use should pick it up instantly. Maybe reload the app if in need. 1. Install the Context7…
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What is an MCP (Model Context Protocol) data format ?
A regular MCP (Model Context Protocol) format follows JSON-RPC 2.0 encoded in UTF-8 standard. The format is design to easily integrate different tools used with AI and LLMS like Context7 ( used by visual code or intellij). Servers like Context7 are designed to integrate real-time, version-specific documentation and code examples directly into AI or coding assistant prompts to improve code accuracy and developer productivity. MCP naming conventions MCP naming conventions are usually : use lowercase letters, hyphens, or camelCase without spaces or special characters. Example filenames : The folder structure may organize docs by library by topic, component or any other phrase or category: MCP documentation file format MCP Context7…
