--- title: Dev + AI language for designers | daily.dev description: A glossary of technical and AI terms aimed at product designers who collaborate with developers. Covers three blocks: web development fundamentals (frontend,... canonical: https://daily.dev/posts/dev-ai-language-for-designers-vzevgxwut twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Dev + AI language for designers | daily.dev og:description: A glossary of technical and AI terms aimed at product designers who collaborate with developers. Covers three blocks: web development fundamentals (frontend,... og:url: https://daily.dev/posts/dev-ai-language-for-designers-vzevgxwut og:image: https://api.daily.dev/og/posts/vzeVGXwUt.png og:image:alt: Dev + AI language for designers og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Dev + AI language for designers **[Medium](https://daily.dev/sources/medium_js)** · 10 min read · 2 upvotes · 0 comments ## Summary A glossary of technical and AI terms aimed at product designers who collaborate with developers. Covers three blocks: web development fundamentals (frontend, backend, API, REST, React, SPA, etc.), technical process and architecture (agile, sprint, handoff, microservices, authentication), and artificial intelligence concepts (LLM, prompt engineering, RAG, fine-tuning, hallucination, AI agents, MCP, vibe coding). Each term includes a practical definition framed from a designer's perspective. The goal is to help designers participate meaningfully in technical conversations, make better-informed design decisions, and leverage AI tools like vibe coding for prototyping — without needing to write code themselves. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What is the difference between RAG and fine-tuning for customizing an LLM's answers? Retrieval-augmented generation (RAG) lets an LLM answer using specific external documents rather than relying only on its training data, such as a support chatbot referencing internal documentation. Fine-tuning instead retrains an existing model on custom data to specialize it in a domain, which is more expensive and complex. For most product use cases, RAG is sufficient, and fine-tuning is reserved for very specific needs. _Comparing RAG against fine-tuning before building an AI feature is easier with grounded explainers on daily.dev._ ### What does the temperature parameter do when generating text with an LLM? Temperature controls how predictable or creative a language model's output is. A temperature of 0 produces very predictable and consistent results, while a higher temperature produces more varied and unpredictable output. Low temperature suits tasks needing accuracy, while high temperature suits creative generation tasks. _Developers tuning LLM output behavior can compare parameter explanations side by side on daily.dev._ ### What is MCP (Model Context Protocol) and what does it enable AI models to do? Model Context Protocol is a standard protocol, proposed by Anthropic in 2024, that connects AI models with external tools such as databases, APIs, and files. It provides the infrastructure that lets a model like Claude read a user's Obsidian vault or write into Notion, effectively giving AI agents access to outside systems beyond plain text generation. _Anyone wiring AI agents into external tools can track protocols like MCP through daily.dev._ ## Similar posts on daily.dev - [Web development is fun again](https://daily.dev/posts/web-development-is-fun-again-t68ksqpw7) · Hacker News · 0 upvotes · 0 comments - [AI Crash Course: AI, ML, LLM and more](https://daily.dev/posts/ai-crash-course-ai-ml-llm-and-more-dduqcdz02) · Telerik · 3 upvotes · 0 comments - [The AI-native developer](https://daily.dev/posts/the-ai-native-developer-brcktqbzr) · Engineering Enablement · 47 upvotes · 0 comments --- Tags: [#ai](https://daily.dev/tags/ai), [#webdev](https://daily.dev/tags/webdev), [#llm](https://daily.dev/tags/llm), [#ux](https://daily.dev/tags/ux), [#vibe-coding](https://daily.dev/tags/vibe-coding) [View this post on daily.dev](https://daily.dev/posts/dev-ai-language-for-designers-vzevgxwut) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Dev + AI language for designers","url":"https://daily.dev/posts/dev-ai-language-for-designers-vzevgxwut","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/dev-ai-language-for-designers-vzevgxwut"},"datePublished":"2026-07-26T19:34:08.323Z","dateModified":"2026-09-14T06:01:45.291Z","description":"A glossary of technical and AI terms aimed at product designers who collaborate with developers. Covers three blocks: web development fundamentals (frontend,...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/5f5fe18fe27b0d200edcad8007cb4b1b?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/5f5fe18fe27b0d200edcad8007cb4b1b?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"Medium","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Medium","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/medium","url":"https://daily.dev/sources/medium_js"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/dev-ai-language-for-designers-vzevgxwut","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":2},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"ai,webdev,llm,ux,vibe-coding","timeRequired":"PT10M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Medium","item":"https://daily.dev/sources/medium_js"},{"@type":"ListItem","position":3,"name":"Dev + AI language for designers"}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/dev-ai-language-for-designers-vzevgxwut#faq","mainEntity":[{"@type":"Question","name":"What is the difference between RAG and fine-tuning for customizing an LLM's answers?","acceptedAnswer":{"@type":"Answer","text":"Retrieval-augmented generation (RAG) lets an LLM answer using specific external documents rather than relying only on its training data, such as a support chatbot referencing internal documentation. Fine-tuning instead retrains an existing model on custom data to specialize it in a domain, which is more expensive and complex. For most product use cases, RAG is sufficient, and fine-tuning is reserved for very specific needs. Comparing RAG against fine-tuning before building an AI feature is easier with grounded explainers on daily.dev."}},{"@type":"Question","name":"What does the temperature parameter do when generating text with an LLM?","acceptedAnswer":{"@type":"Answer","text":"Temperature controls how predictable or creative a language model's output is. A temperature of 0 produces very predictable and consistent results, while a higher temperature produces more varied and unpredictable output. Low temperature suits tasks needing accuracy, while high temperature suits creative generation tasks. Developers tuning LLM output behavior can compare parameter explanations side by side on daily.dev."}},{"@type":"Question","name":"What is MCP (Model Context Protocol) and what does it enable AI models to do?","acceptedAnswer":{"@type":"Answer","text":"Model Context Protocol is a standard protocol, proposed by Anthropic in 2024, that connects AI models with external tools such as databases, APIs, and files. It provides the infrastructure that lets a model like Claude read a user's Obsidian vault or write into Notion, effectively giving AI agents access to outside systems beyond plain text generation. Anyone wiring AI agents into external tools can track protocols like MCP through daily.dev."}}]} ```