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"AI apps are natively multilingual (models know dozens of languages), but 'answering in multiple languages' and 'product internationalization' are different. This article clarifies AI app i18n: UI translation, model output language control, regional compliance, cultural adaptation, multilingual RAG, and a next-intl architecture."
RAG is not a "single response": retrieval and generation should both stream so users can see progress while they wait. This article covers streaming retrieval, typewriter answer generation, citation rendering, smooth incremental React rendering, and retrieval-to-generation state transitions.
Streaming output defines how responsive an AI app feels, but many developers do not understand SSE, vendor data-stream formats, streaming tool calls, or cancellation. This article moves from HTTP SSE through the AI SDK data stream protocol to streaming tool calling and interruptible streams, explaining frontend parsing, backend emission, and common pitfalls.
Traditional docs rely on TOCs and search; users who can't find things give up. AI lets docs 'answer directly'—plug in RAG and 'how do I do X?' returns an answer plus citations. This article shows how to upgrade a static docs site to AI Q&A: chunking and indexing, citations, Mintlify/Convex vs self-hosted, and why AI shouldn't replace the docs.