AI Just Got a New $6.5B Body

OpenAI’s hardware move, Codex’s coding upgrade, and tips from building a full backend with AI

THIS WEEK’S STORY

OpenAI x Jony Ive: The AI Hardware Era Begins

This is huge. OpenAI just acquired LoveFrom IO, Jony Ive’s company, for $6.5 billion.

Yes. Jony Ive. The legendary designer behind the iPhone, the iMac, and everything Apple touched for 20 years.

This is not your typical tech acquisition. This is OpenAI stepping out of the software world and into the physical one.

We are using god-tier AI through outdated devices. Laptops. Phones. Plastic rectangles built for the internet era, not for what’s coming.

That’s where IO comes in. To invent something new. A category of AI-native hardware designed from scratch by the same mind that shaped how we interact with tech today.

OpenAI is now building the bridge between intelligence and experience. Between cloud and human. And that changes everything.

If OpenAI were public, I would be buying as much stock as I could.

HEADLINES

Codex Just Leveled Up

OpenAI just relaunched Codex. The brain behind AI-generated code is now smarter, faster, and more powerful than ever.

You can start tasks, track progress, view code changes, ask for improvements, and push pull requests without ever touching an IDE. Codex handles full workflows across languages, frameworks, and entire projects.

For no-code app builders, this changes everything.

You can now guide Codex with natural language. Write a clear product spec or even just a rough idea. Codex understands it, turns it into working code, and updates it based on your feedback.

It is not a coding assistant. It is a full developer you control with words.

Describe what you want. Codex builds it. Then it keeps going.

THIS WEEK’S TIP

This past week I started building a complex backend integration for a web app using Cursor. It involved autonomous workflows powered by AI and full code generation. All of it done with AI.

Here’s what I learned and remembered:

  • When working with many different features, it’s essential to write a separate PRD for each one, along with a high-level overview of the full project. This helps the AI understand context better and deliver stronger results.

  • Always commit and push changes regularly to a dedicated GitHub branch. This gives you a clean version history and lets you easily roll back when needed. Especially important when vibe coding and the AI goes off track.

  • If your codebase starts growing, isolate feature requests into different chats. This keeps the context clean and prevents the model from getting confused.

  • For complex backend work, I found the MAX mode of any model to be incredibly useful. It expands the context window and improves reasoning. I used Gemini 2.5 Pro MAX and Sonnet 4 MAX to get it working after a lot of back and forth. But I don’t recommend MAX mode for frontend work. It tends to overthink layout and design, and will try to refactor everything based on its idea of best practices. Not ideal.

This workflow reminded me that AI is not just a tool, it’s a collaborator. But like any collaborator, it needs structure, guidance, and a clear brief to do its best work.

QUICK HITS

  • Microsoft Launches Copilot Studio: Build custom AI coding agents with GitHub, Azure, and IDE integration for enterprise dev workflows. (TechCrunch)

  • Google Debuts Gemini 3: Adds real-time code collaboration between developers and AI agents in shared environments. (The Verge)

  • Bubble Adds AI Vibe Coding Tools: Automatically generates app logic and UI based on user intent and style. (Forbes)

  • Anthropic Releases Claude 4: Focuses on secure AI coding with reduced hallucinations and safer code output. (ZDNet)

  • Replit Rolls Out Vibe Mode: Describe coding “vibes” in plain language and get matching creative code output. (CNBC)

And That is all for this week!

See you next Saturday!

Filippo

Filippo Pietrantonio

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