Criei Um App Completo Com DeepSeek No Claude Code (DeepClaude do Zero Ao Deploy)

⭐ Sign up for the Waiting List for the Stop Fighting with AI Course: https://app.horadecodar.com.br/lp/par... 🔴 Vibe Coding Training (Antigravity, Claude Code and more): https://app.horadecodar.com.br/lp/for... 🟪 DeepClaude project hosting: https://hostinger.com.br/battisti (use coupon HORADECODAR for an extra 10% discount) 📘 Prompt Engineering Guide: https://app.horadecodar.com.br/ebookp... Join our Discord server and follow me on social media: 🟣 Hora de Codar Discord:   / discord   🔴 Instagram:   / horadecodar   Building an entire full-stack app with DeepSeek in Claude Code, from scratch to deployment, spending only pennies, is what this video shows in practice. The idea is simple and it's what's hyped right now: DeepSeek delivers expensive model quality for a fraction of the price, and you can use it within the Claude Code you already know, without an Anthropic account, without a high monthly fee. In this video, I build a complete SaaS with login, AI text rewriting, user history, and real deployment, using the PRD technique for AI to plan before coding. If you watched the DeepClaude video and want to see DeepSeek go beyond a chat, or if you feel the cost of closed models and want a cheap alternative without losing quality, this video is for you. This is the same setup as DeepClaude (same key, same settings.json, zero connection to Anthropic), now applied to build and publish a real product. The central concept taught here is spec-driven with PRD. Instead of asking "make an app" and hoping for a coherent result, the first prompt makes the AI ​​write a complete PRD in a file, documenting the vision, functionalities, screens, rules for each format, stack, and build order. The other build prompts are short because the concrete description resides in the PRD. That's the key: a detailed PRD at the beginning generates short prompts later and a consistent app, with screens matching the data model and rules being respected. The stack used is Next.js on the frontend and backend, DeepSeek via the API always called on the server (the key is never exposed in the browser), Supabase for login and history, and deployment via GitHub on a Node hosting. You learn how to assemble each layer sequentially: first the interface following the PRD (Product Data Network), then the connection to DeepSeek, then the writing rules for each format, then authentication, then user history, and finally deployment. The app built in the video is a text adapter for social media: you paste content, indicate the source format and choose which formats you want to adapt it to, and the AI ​​rewrites it respecting the rules of each one. LinkedIn with the correct spacing and tone, X with threaded version when the text is long, email with a provocative subject line, blog with SEO, YouTube description with a hook in the first two lines, and Instagram with a block of hashtags. The difference is that the AI ​​not only rewrites, but rewrites following the standard defined in the PRD. Regarding security, the video teaches the right way: the DeepSeek key and the Supabase credentials are in a .env file that is never uploaded to GitHub, and at the time of deployment the values ​​are re-registered directly in the hosting panel. No secrets are versioned, no keys are exposed in the repository. The authentication part covers login and registration with Supabase, with route protection (those not logged in cannot access the app), sessions that persist when the page is reloaded, and each user only seeing their own history. The history saves each transformation with the original format, beginning of the text, date, and number of generated formats, with the option to reopen and delete. The closing is the real proof of the hype: opening the DeepSeek dashboard and seeing how much it cost to build and run the entire app. Cents. Made by DeepSeek, running on DeepSeek, and the price proves that you can have the quality of an expensive model for almost nothing. The transferable lessons for your workflow: how to use the PRD technique for any project, how to securely connect DeepSeek to the server, how to add login and user data with Supabase, and how to deploy via GitHub without leaking credentials. The app is just an example; the technique works for any SaaS. TIMESTAMPS 00:00 DeepClaude for projects: DeepSeek + Claude Code 01:12 What is DeepClaude? 04:27 Setting up DeepClaude in Claude Code 06:16 Creating a PRD with DeepClaude 09:15 Starting the project with DeepSeek + Claude Code 12:55 AI integration in the project 15:40 Creating authentication for the project and integrating it with Supabase 19:00 Testing the project with authentication 21:18 Creating a system post history 24:20 Putting the project on GitHub 26:05 Starting the project deployment (Putting the system online) 29:40 Testing the DeepClaude project online ...