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Build & Deploy a Vibe Coding Platform (Bolt.new) Using Next.js, Supabase - AI Coding Project 2026

276 views· 12 likes· 25:36· Mar 27, 2026

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Source Code: https://www.theblockchaincoders.com/sourceCode/build-and-deploy-a-vibe-coding-platform-(like-bolt.new)-using-next.js-supabase-and-openai-or-ai-coding-project-2026 Blockchain Course: https://www.theblockchaincoders.com/pro-nft-marketplace Private Blockchain Course: https://www.theblockchaincoders.com/build-private-blockchain-course All Project Code: https://www.theblockchaincoders.com/SourceCode Donate Please: https://linktr.ee/daulathussain 1 - 1 Consultancy: https://www.theblockchaincoders.com/consultancy Pro Blockchain Courses: https://www.theblockchaincoders.com/ Public Discord: https://discord.gg/Gah6YGuBFS Build & Deploy a Vibe Coding Platform (Like Bolt.new) Using Next.js, Supabase & OpenAI | AI Coding Project 2026 In this video, we will build and deploy a complete Vibe Coding Platform similar to Bolt.new where users can code using AI in real time. This project allows developers to connect their own OpenAI or LLM API keys, select AI models, and start building projects instantly. You will learn how to create a modern AI coding environment using Next.js, Supabase, and OpenAI APIs. The platform will include features like AI code generation, project management, authentication, and a clean developer-friendly interface. This is a complete full-stack AI project for 2026 that will help you understand how modern AI developer tools are built. 🚀 What You’ll Learn Build a Vibe Coding Platform UI Connect OpenAI & other LLM models Allow users to add their own API keys Build a real-time AI coding interface Implement Supabase authentication & database Manage AI prompts and responses Deploy the platform online 🛠 Tech Stack Next.js Supabase OpenAI API LLM Models Tailwind CSS Modern AI Developer Tools 💡 Perfect For Developers learning AI development Developers building AI SaaS tools Anyone interested in AI coding platforms By the end of this video, you will have your own AI Vibe Coding Platform ready to deploy and extend. 📌 Timestamps 00:00:00 ➤ Introduction 00:00:24 ➤ Overview 00:07:43 ➤ Starter File 00:08:40 ➤ Final Source Code 00:15:34 ➤ Installation & Testing Live Save NFT Marketplace PlayList: https://youtube.com/playlist?list=PLWUCKsxdKl0olgEF4OxXVk2B-jwpGqL5d API PlayList: https://youtube.com/playlist?list=PLWUCKsxdKl0oAFAVuRZxQSYC07UTcl_v_ Solidity PlayList: https://youtube.com/playlist?list=PLWUCKsxdKl0oksYr6IG_wRsaSUySQC0ck Complete JavaScript Course: https://youtube.com/playlist?list=PLWUCKsxdKl0qROhA0XO4_ek9bIwZ4j4Xr HTML Course Code: https://www.daulathussain.com/complete-html-course-daulat-hussain/ =================== HOSTING ++++++++++++++++++++ Best Hosting: https://clients.domainracer.com/aff.php?aff=28826 Follow Me: Instagram: https://www.instagram.com/daulathussain92/ Facebook: https://www.facebook.com/daulat.hussain.18 Twitter: https://x.com/TheBCoders Pinterest: https://in.pinterest.com/daulathussainhealthfitness/ Linkedin: https://www.linkedin.com/in/daulat-hussain/ Quora: https://www.quora.com/q/schahkxkdudpgjvh Facebook Group: https://www.facebook.com/groups/59011 Facebook Page: https://www.facebook.com/yourdhfitness Subscribe to My Channel: https://www.youtube.com/channel/UCz6_...

About This Video

In this video I build and deploy a complete Vibe Coding Platform (like Bolt.new) using Next.js, Supabase, and OpenAI. I show you the full walkthrough from landing page → auth → dashboard → API key management → project creation → editor. The main goal is simple: you understand how a real AI coding tool works where the AI can generate code across multiple files, follow a tree structure, pass context properly, and then manipulate/edit the code like a real developer workflow. I also explain the important part most people skip: the streaming model and context pipeline. I demo how you can run a “single stream” flow to save tokens (good for HTML/CSS/static tasks), and how you can expand to “multiple stream” when you’re building bigger frameworks like Next.js/React where AI needs more context and will consume more tokens. Then I take you inside the codebase architecture (API routes like generate/stream, keys management, encryption, file tree, store/state, UI components), and I do the full setup: Supabase project + SQL schema, OpenAI key creation, environment variables, npm install, and finally running the app locally. By the end, you can clone the repo, configure Supabase + OpenAI, and you’ll have your own AI coding platform with authentication, project management, secure API key handling (local, not DB), editor + preview, export, refactor/debug/explain tabs, and a clean dashboard flow you can extend.

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