How to Actually Build Mobile Apps with AI in 2026 | A Complete Beginner's Tutorial

In this video, you'll bridge the gap between web and mobile with an intensive crash course on React Native fundamentals and modern features like file-based routing and server components. Then, you’ll build Recurrly, a subscription tracker using Expo. You’ll implement essential real-world features before taking the leap that most tutorials skip: publishing your app to the Apple App Store and Google Play Store so you can actually start monetizing your work. Expo: https://jsm.dev/nativesub-expo Expo EAS : https://jsm.dev/nativesub-eas Clerk: https://jsm.dev/nativesub-clerk PostHog: https://jsm.dev/nativesub-posthog CodeRabbit: https://jsm.dev/nativesub-coderabbit Junie AI: https://jsm.dev/nativesub-junie WebStorm: https://jsm.dev/nativesub-webstorm 📋 Join the AI Course Waitlist: https://jsm.dev/nativesub-agentic 📋 Join the React Native Course Waitlist: https://jsm.dev/nativesub-native 🎁 Video Kit (Code, Assets, Prompts): https://jsm.dev/nativesub-kit ⭐ Join JS Mastery Pro: https://jsm.dev/nativesub-jsm ➤ Links not working? Some regions may need a VPN. https://discord.com/invite/n6EdbFJ https://twitter.com/jsmasterypro https://instagram.com/javascriptmastery https://linkedin.com/company/javascriptmastery Business Inquiries: contact@jsmastery.pro Timestamps: 00:00:00 — Introduction 00:03:19 — Crash Course 00:13:14 — Fundamentals 00:23:44 — Project Setup 00:35:19 — Setup Styling (Nativewind) 00:45:17 — Routing & Navigation 01:03:10 — Tab Navigation 01:27:55 — Custom Fonts 01:36:11 — Home UI 02:24:13 — Clerk Setup 02:28:37 — Authentication 02:53:40 — PostHog 03:05:44 — Subscription Tab 03:10:16 — Create Subscriptions 03:13:57 — PostHog Custom Events 03:26:04 — EAS Build & Deploy 03:39:39 — Closing & What's Next

An LLM is an incredibly powerful brain that knows everything about humanity and nothing about you or the software you run. This video walks through the four buzzwords that turn that raw brain into a system you can trust: agent harness, loop engineering, LLM Ops, and eval. No jargon, step by step, technical or not. You can build anything. You can learn anything. 💪 Timeline 0:00 Intro: the 4 AI agent buzzwords 0:42 What an AI agent run actually is 1:52 The memory system: procedural, semantic, episodic 3:37 What "harness" really means (the horse) 5:07 Storing and updating memory (databases, skills, summarizer agent) 8:28 Retrieval: RAG, SQL vs semantic search 10:00 Tool calling and why agents loop 10:52 Loop engineering and end-loop guardrails 13:21 A Claude Code hooks example 14:18 Eval and LLM Ops: why you need them 15:55 Tracing every run (Langfuse, LangSmith) 16:43 Evaluation: LLM as a judge 17:20 Diagnosing what broke 18:16 The gate: ship the fix or fix the bug 18:57 Zoom out: the full system 19:53 Wrap up Launch Full-Stack App Template: https://github.com/ShenSeanChen/launch-mvp-stripe-nextjs-supabase My AI Agent Startup AutoManus.io is an AI sales lead manager for made-to-order product sales. We embed directly where conversations happen (WhatsApp, email, web chat) to capture inbound, automate follow‑ups, and kill CRM busywork; live with 4 pilots and 2 contracts in motion, pre‑seed backed by Character VC. Focused on US/UK/Germany, raising to expand engineering and scale deployments. ☕️ Buy me a coffee: https://buy.stripe.com/5kA176bA895ggog4gh - X: https://x.com/ShenSeanChen - Sean's Discord: https://discord.gg/tvECErKcFr - AutoManus Discord: https://discord.gg/5HhcNjCR - LinkedIn: https://linkedin.com/in/shen-sean-chen - Github Link: https://github.com/ShenSeanChen - Instagram: https://www.instagram.com/sean_ai_stories Sub Count when launched: 13,050 Top Github Repos - LaunchMVP NextJS,Supabase,Stripe (1015 stars): https://github.com/ShenSeanChen/launch-mvp-stripe-nextjs-supabase - ReactNextJSTips (114 stars): https://github.com/ShenSeanChen/yt-react-nextjs-tips - DeepResearchAgentBackend (70 stars): https://github.com/ShenSeanChen/yt-DeepResearch-Backend - SupabaseTipsKanban (64 stars): https://github.com/ShenSeanChen/yt-supabase-tips-kanban - RAGVectorDB (56 stars): https://github.com/ShenSeanChen/yt-rag - KimiK2Claude (37 stars): https://github.com/ShenSeanChen/yt-kimi-k2-claude - DeepResearchAgentFrontend (33 stars): https://github.com/ShenSeanChen/yt-DeepResearch-Frontend - AgenticRAG (13 stars): https://github.com/ShenSeanChen/yt-agentic-rag You Can Build Anything Playlist (Full-Stack Dev Without CS Degrees) - Core7: 95% React/NextJS Use Cases https://www.youtube.com/watch?v=vZzFlAjz4rA&list=PLE9hy4A7ZTmpGq7GHf5tgGFWh2277AeDR&index=16 - Core6: 95% Supabase Use Cases https://www.youtube.com/watch?v=Pnoq2tIif3s&list=PLE9hy4A7ZTmpGq7GHf5tgGFWh2277AeDR&index=15 - Core5: StripeNextJSSupabase https://www.youtube.com/watch?v=ad1BxZufer8&list=PLE9hy4A7ZTmpGq7GHf5tgGFWh2277AeDR&index=8 - Core4: AuthSupabaseGoogle https://www.youtube.com/watch?v=AZAU3ClAWWE&list=PLE9hy4A7ZTmpGq7GHf5tgGFWh2277AeDR&index=6 - Core3: FastapiGCPPro https://www.youtube.com/watch?v=u3sfqpzzo-U&list=PLE9hy4A7ZTmpGq7GHf5tgGFWh2277AeDR&index=5 - Core2: SupabaseHero https://www.youtube.com/watch?v=V0kmgkyPsVQ&list=PLE9hy4A7ZTmpGq7GHf5tgGFWh2277AeDR&index=4 - Core1: LaunchAnApp https://www.youtube.com/watch?v=iQ2izvGG4tQ&list=PLE9hy4A7ZTmpGq7GHf5tgGFWh2277AeDR&index=3 - Launch WhereToMeet w/ GoogleMaps, Calendar, Supabase, Cursor: https://www.youtube.com/watch?v=5xMjX1QxGUY&list=PLE9hy4A7ZTmpGq7GHf5tgGFWh2277AeDR&index=2 - Launch EncourageMe w/ Cursor, Supabase, Vercel https://www.youtube.com/watch?v=hnvL4xa2DHA&list=PLE9hy4A7ZTmpGq7GHf5tgGFWh2277AeDR

📚 Get the Figma kit, app prompts, and UI Designer tool & all my AI resources on Skool: https://bit.ly/46Fo98a 📈 Become a Wildly Profitable AI Entrepreneur: https://bit.ly/47iFLGW 🤝 Ready to transform your business with AI? Let's talk: https://bit.ly/4fnpOS0 📋 Get our FREE 14-day playbook for finding high-impact AI opportunities in any business: https://bit.ly/14-day-playbook- In this full course, you’ll master the new skill of Software Composing—building full-stack, revenue-generating web apps using nothing but your ideas and the right prompts. You’ll go from understanding databases and APIs to deploying a real SaaS product with authentication, live data and a real database. No coding experience? No problem. This course was built to help you gain the confidence and competence to turn ideas into income using natural language prompts or 'vibe coding' and the world’s most powerful AI tools like Bolt.new the sponsor of this video. Get started building no-code apps with Bolt now: https://bolt.new/ Timestamps: 0:00 - What We're Covering 2:47 - Chapter 1: Foundations 4:31 - What is Software Composing? 10:46 - What is a Web App? 13:35 - Front End VS Back End 18:48 - Databases: Your Software’s Memory 23:43 - APIs 29:29 - Authentication & Authorization 34:33 - Chapter 2: Building 37:00 - The Software Composing Landscape 41:03 - Build 1: Front End: UI Design & Initial Prompting 56:30 - Build 2: Backend: Databases & API 1:12:21 - Build 3: User Authentication & Authorization 1:30:59 - Deploying your App 1:34:00 - Debugging: Fixing What Breaks 1:37:34 - Chapter 3: Monetizing

In this course, you’ll master Next.js 16, the latest version of the official React framework, and learn how to build powerful, full-stack applications using its new caching and performance features. You’ll put your skills into practice by creating and deploying a Dev Event Platform, a modern app where users can browse, create, and manage events. PostHog: https://jsm.dev/devevent-posthog WebStorm: https://jsm.dev/devevent-webstorm Junie AI: https://jsm.dev/devevent-junie Warp: https://jsm.dev/devevent-warp CodeRabbit: https://jsm.dev/devevent-coderabbit CodeRabbit CLI: https://jsm.dev/devevent-coderabbitcli Cloudinary: https://jsm.dev/devevent-cloudinary The Complete Testing Course is LIVE. 🔥 Bundle up now before the deal expires and get 33% Off‼ 👉 https://jsm.dev/devevent-testing 📗 GSAP Pro Course (includes GTAVI Website): https://jsm.dev/devevent-gsap 📕 Three.js 3D Pro Course: https://jsm.dev/devevent-threejs 📙 JavaScript Pro Course: https://jsm.dev/devevent-cpjsm 🚀 Launch Your SaaS Pro Course: https://jsm.dev/devevent-saas ‼ If the links aren’t working for you, please try using a VPN (e.g., in Nigeria) 📁 FREE Video Kit (Code, Figma, Assets, Etc.): https://jsm.dev/devevent-kit 👉 Backend Pro Course Waitlist: https://jsm.dev/devevent-backpro 👉 AI Development Pro Course Waitlist: https://jsm.dev/devevent-aipro 👉 Tailwind Pro Course Waitlist: https://jsm.dev/devevent-twpro 👉 React.js Pro Course Waitlist: https://jsm.dev/devevent-reactpro 👉 React Native Pro Course Waitlist: https://jsm.dev/devevent-nativepro Rate us on TrustPilot: https://jsm.dev/trustpilot https://discord.com/invite/n6EdbFJ https://twitter.com/jsmasterypro https://instagram.com/javascriptmastery https://linkedin.com/company/javascriptmastery Business Inquiries: contact@jsmastery.pro Time Stamps: 00:00:00 — Introduction 00:04:09 — Crash Course Intro 00:08:30 — Installation 00:11:45 — Project Structure 00:14:19 — App Router 00:17:16 — React Client & Server Components 00:23:40 — Routing 00:42:42 — Data Fetching 00:48:53 — API Routes 00:52:45 — Caching 00:56:05 — Build Adapters API 00:57:24 — Metadata 01:01:23 — Theory to Practice — — — 01:02:48 — Project Setup 01:18:01 — Homepage 01:41:35 — PostHog Setup 01:50:21 — MongoDB Setup 01:52:57 — Warp Setup 01:56:46 — Database Models & Connection 02:09:36 — CodeRabbit 02:16:11 — API Routes 02:27:03 — Image Upload 02:37:51 — Fetch API Routes 02:54:47 — Event Details Page 03:14:34 — Server Actions 03:28:05 — Caching 03:39:46 — PostHog: Booking Action & Tracking 03:54:05 — Deployment 03:58:15 — Outro

Dive straight into React—from basic JSX to advanced hooks—and build a real, modern app in this hands-on crash course! Hostinger: https://jsm.dev/react25-hostinger Appwrite: https://jsm.dev/react25-appwrite WebStorm: https://jsm.dev/react25-webstorm 🎁 Video Kit (Codebase, and more): https://jsm.dev/react25-kit 📘 ReactJS Course Waitlist: https://jsm.dev/react25-waitlist ⭐ Join JS Mastery Pro: https://jsm.dev/react25-jsmpro 💎 Become a Top 1% Next.js Developer: https://jsm.dev/react25-nextjs https://discord.com/invite/n6EdbFJ https://twitter.com/jsmasterypro https://instagram.com/javascriptmastery https://linkedin.com/company/javascriptmastery Business Inquiries: contact@jsmastery.pro Time Stamps 00:00:00 — Intro 00:01:41 — Crash Course 00:05:08 — React Setup 00:07:33 — Create React.js Project 00:15:12 — Components 00:17:55 — Props 00:20:03 — Styles 00:26:15 — States and Hooks 00:35:18 — UseEffect Hook 00:42:40 — React Snippets 00:43:27 — About the Project 00:46:28 — Tailwind CSS setup 00:49:55 — Assets & styles 00:51:00 — Develop header 01:02:56 — The Movie DB API 01:22:58 — Develop movie card component 01:30:12 — Implement search 01:33:38 — Optimize search 01:39:07 — Trending Movies Feature 01:54:01 — Show Trending Movies 02:03:58 — Deployment

Euron - https://euron.one/ Course Link : https://euron.one/course/rag-masters For any queries or counseling, feel free to call or WhatsApp us at: +919110665931 / +919019065931 Step into the world of Retrieval-Augmented Generation (RAG) pipelines with this complete guide! This video breaks down RAG concepts into easy-to-follow steps while showing you how to build real, working pipelines. Whether you’re just starting your AI journey or looking to strengthen your expertise in retrieval-based systems, this video is packed with practical insights and hands-on coding. What you’ll discover in this tutorial: - RAG Fundamentals: Learn how RAG works, from architecture to workflow. - Tools in Action: Explore vector databases, embeddings, LangChain, and other essentials. - Hands-On Projects: Apply RAG to solve real-world use cases. - Prompt Engineering: Learn how to optimize responses and handle private datasets. - Deployment Made Simple: Deploy RAG apps using Streamlit, Render, or AWS Elastic Beanstalk. Why this video is worth your time: - Beginner-friendly yet detailed enough for intermediate learners. - Hands-on coding and project-based learning. - Clear, structured explanations to help you actually build and deploy a RAG system. CHAPTERS: 00:00 - Announcements 01:36 - What is Retrieval Augmented Generation (RAG) 05:09 - How RAG Works 10:47 - Understanding Retrieval Augmented Generation 14:20 - Problems Solved by RAG 21:13 - Overview of RAG Pipeline 22:58 - RAG Pipeline Explained 27:56 - Generating Embeddings 38:35 - Preparing Your Own Data for RAG 41:02 - Creating Text Files for Data 49:53 - Creating Embeddings from Data 1:11:40 - Querying from Vector Database 1:14:47 - Final Operation: How RA Works 1:31:56 - Deploying Code in Streamlit 1:32:51 - Setting Up Application Directory 1:33:14 - Creating app.py File 1:37:00 - Developing app.py 1:41:34 - Creating Environment for Streamlit 1:46:28 - Testing Streamlit Application 1:50:04 - Deploying Application on Streamlit 1:50:34 - Deploying Application on Render 1:50:40 - Deploying Application on AWS Elastic Beanstalk 2:00:24 - Streamlit Deployment Hands-On 2:29:54 - Introduction to Document Loading 2:32:41 - Text Loader Overview 2:35:21 - Loading CSV Files 2:36:00 - Loading PDF Files 2:46:29 - Chunking and Splitting Data 3:05:14 - Lecture 2 Overview 3:10:28 - Cosine Similarity and Normalization 3:19:59 - Practical Cosine Similarity 3:26:01 - Introduction to Vector Databases 3:31:52 - Understanding Vector Representation 3:37:19 - Cosine Similarity Explained 4:11:28 - Step 2: Creating Embeddings 4:18:25 - Step 3: Creating Embedding Arrays 4:40:29 - Inserting Data into ChromaDB 4:43:14 - Querying ChromaDB 4:46:38 - Updating Records in ChromaDB 4:49:24 - Adding Metadata Information 4:56:22 - Persisting Collections in ChromaDB 5:03:20 - Pinecone Insert Operations 5:31:16 - Connecting to BayesVector 6:13:20 - Lecture 2: End to End ALM Chain 6:18:44 - Project Setup Process 6:24:08 - System Setup for ALM Chain 6:25:36 - Accessing LM and Embeddings 7:10:07 - Multi-Agent System with Self-Routing 7:12:05 - Accessing LLM in ALM 7:19:55 - Creating a Tool for ALM 7:22:08 - Creating an Agent in ALM 7:23:41 - Creating a Routing Agent 7:34:01 - Introduction to (LCEL) 8:03:02 - Setting the Entry Point in ALM 8:10:33 - Multi-Agent System Overview 8:16:08 - Creating Context Files 8:18:37 - Researcher Node in ALM 8:24:45 - Synthesizer Node Overview 8:27:20 - Classifier Node in ALM 8:28:45 - Finalizer Node Overview 8:42:01 - Understanding Prompting Techniques 8:43:20 - Crafting Effective Prompts 8:53:20 - Few-Shot Prompting Techniques 9:00:48 - Output Format Instructions 9:04:27 - Chain of Thought (COT) Prompting 9:09:24 - Explicit Anchoring Techniques 9:50:37 - Project Setup Process 9:54:41 - Obtaining URI API Key 9:57:48 - Storing and Retrieving Vectors 10:43:58 - Deploying the Chatbot Application 10:45:58 - Testing the Deployed Chatbot Roadmap for you : AI /Data Science Pro Level Expert Roadmap - https://euron.one/roadmap/c9361831-c806-45e2-b65c-c3f4c6cd2fa4 NLP expert Roadmap - https://euron.one/roadmap/300bc526-ed55-42e3-9072-43aca6c3ba4f Data Analytics / Business Analytics Expert Roadmap - https://euron.one/roadmap/920278e8-e3c0-4763-a135-ebed66074853 Big Data / Data Engineering Expert Roadmap - https://euron.one/roadmap/98c8db49-2eab-44b7-8fba-7f2b2575ec83 Computer Vision Roadmap - https://euron.one/roadmap/d8281277-5cfd-4498-bbff-4135aa178897 Deep Learning Roadmap - https://euron.one/roadmap/1495a7ba-4297-4cc9-8d68-5460cafb90ca Generative AI Roadmap - https://euron.one/roadmap/2380f611-7475-4343-b7f7-22b765710604 Machine Learning Expert Roadmap - https://euron.one/roadmap/ff514391-328e-4863-b810-0a5c5db6a170 Android- https://play.google.com/store/apps/details?id=com.euron.one&hl=en IOS - https://apps.apple.com/in/app/euron-your-learning-app/id6741360597