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Add new podcasts
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‎MyApp/_podcasts/2025-10-31_ai-chat-ui.md‎

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‎MyApp/_podcasts/2025-11-12_v8-10-release.md‎

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@@ -3,7 +3,7 @@ title: ServiceStack v8.10 Release
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summary: Latest features in ServiceStack v8.10 including 1st class React & Tailwind CSS support, AI Chat, AI Search and more!
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tags: [release,react,tailwind,typescript,admin-ui,ai]
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url: https://media.servicestack.com/podcasts/v8-10-release.mp3
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media: {size:14780679,duration:1053.309388,format:mp3}
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media: {size:15642438,duration:1045.246259,format:mp3}
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This episode announces **ServiceStack v8.10**, highlighting its focus on **AI-First Development** by introducing first-class support for React and Tailwind CSS given their growing popularity for AI-generated UIs.

‎MyApp/_podcasts/2025-11-13_react.md‎

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title: React + Tailwind + TypeScript for AI-First Development
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summary: First-class React support optimized for AI-assisted development with new React component library & project templates
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tags: [react,autoquery,admin]
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author: Demis Bellot
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url: https://media.servicestack.com/podcasts/react.mp3
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media: {size:12904502,duration:918.534966,format:mp3}
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---
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This episode introduces **ServiceStack's first-class React support**, optimized for **AI-assisted development** and the emerging "Vibe Coding" paradigm where developers guide AI to generate **React and Tailwind UIs**—now the de facto standards for modern web development.
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**ServiceStack's architecture** provides the foundation for effective AI code generation through declarative typed APIs and end-to-end type safety, delivering the crucial context AI models require to produce high-quality code.
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The episode showcases **new React project templates** and a comprehensive **component library** designed to accelerate modern web application development, while demonstrating how **TypeScript Data Models** can generate C# AutoQuery APIs and database migrations—complete with practical examples of AI-generated application features.

MyApp/_podcasts/2025-10-29_ai-chat.md renamed to MyApp/_podcasts/2025-11-14_ai-chat.md

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@@ -3,7 +3,7 @@ title: AI Chat - A Simple OpenAI Chat Completions API, UI & Client LLM Gateway
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summary: Unlock the value of OpenAI Chat APIs using a simple, serializable ChatCompletion DTO that works everywhere
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tags: [llms,ai,openai,chat]
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author: Demis Bellot
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url: https://media.servicestack.com/podcasts/apikey_auth_apis.mp3
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url: https://media.servicestack.com/podcasts/ai-chat.mp3
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media: {size:13193573,duration:950.256327,format:mp3}
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**ServiceStack.AI.Chat** offers advantages like easy data persistence, client-side usability, and
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simplified debugging, while also supporting multi-modal content like images and audio.
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The solution includes robust **model routing and failover** capabilities configured via a simple `llms.json` file,
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and is compatible with its Python counterpart, [llms.py](https://github.com/ServiceStack/llms).
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The solution includes robust **model routing and failover** capabilities configured via a simple `llms.json` file, and is compatible with its Python counterpart, [llms.py](https://github.com/ServiceStack/llms).

‎MyApp/_podcasts/2025-11-17_typesense-ai-search.md‎

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title: Ask ServiceStack Docs - Introducing AI Search
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summary: Learn about the new AI Search feature - Typesense Conversational RAG for ServiceStack Docs
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tags: [llms,ai,docs]
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author: Demis Bellot
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url: https://media.servicestack.com/podcasts/ai-chat.mp3
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media: {size:13193573,duration:950.256327,format:mp3}
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---
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In this episode, we explore ServiceStack Docs' new AI Search feature, which leverages Typesense Conversational Search and Retrieval-Augmented Generation (RAG) capabilities to deliver intelligent, context-aware answers from documentation.
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We discuss how this AI Search serves users seeking conversational explanations, conceptual understanding, and answers to complex "how-to" questions, distinguishing it from traditional instant search for specific lookups.
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The hosts dive into key features including a conversational interface, support for multi-turn conversations that maintain context, and answers grounded in documentation with relevant links and snippets. On the technical side, we examine how the system indexes content using a scraper, utilizes Typesense's multi_search API, and sends queries to the Gemini Flash 2.5 LLM for generating responses.
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The episode concludes with a discussion on how this functionality enhances developer learning, troubleshooting, and team onboarding by providing quick, synthesized access to the knowledge base.

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