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OpenAI just dropped GPT-5.4, so I decided to test it immediately. I cover the architectural differences in the GPT 5.4 model: 1. Agentic reasoning loop: models now operate in a plan → act → observe → verify cycle 2. Dynamic tool search: tools are discovered and loaded on-demand 3. Native computer use: models can perceive UI state (screenshots/DOM) and take actions 4. Execution feedback loops: tool outputs and UI changes feed back into the model In this video, I also vibe-code a full-stack application using Codex powered by GPT-5.4, while InsForge handles the entire backend. Building apps today isn’t slow because of the frontend anymore. AI can generate UI quickly. The real bottleneck is usually the backend: authentication, database setup, permissions, infrastructure, and deployments. So the question is: Can an AI agent build the backend too? To test this, I used: • Codex + GPT-5.4 to plan and generate the application • InsForge to handle auth, database, permissions, and deployment By the end of the video, the app is fully functional and live on a public URL. Resources: GPT 5.4 Blog: https://openai.com/index/introducing-... InsForge GitHub: https://github.com/insforge