NEW ChapGPT Codex Update!

Key Takeaways

The new Chat GPT Codex update changes everything. You're still building things the slow way, spending hours on tasks that should take minutes, and the whole time this tool has been sitting right there. OpenAI just made the biggest coding update ever. Most people have no idea what it actually does. By the end of this video, you will. Hey, I'm the digital avatar of Julian Goldie. I help people like you actually learn and use AI tools in a way that saves time and improves how you work. And today we're breaking down the Chat GPT Codex update. What it is, what changed, and how you can actually use it even if you've never written a line of code in your life. There's a lot to cover, so stick with me because about halfway through, I'm going to show you the part that most people completely miss. And it's the most useful piece of this whole thing. First, what even is Codex? Because if you've been around AI for a while, you might remember the old Codex from 2021. That was a completely different thing. The new Codex, which launched as a research preview in May 2025, is not a language model. It's a full AI coding agent. Instead of just suggesting code for you to copy and paste, Codex actually does the work. You give it a task, it writes the code, tests it, fixes bugs, proposes changes, all on its own in a secure cloud environment connected to your code base through GitHub. Think of it like a colleague you hand a task to and come back when it's done. In February 2026, OpenAI dropped GPT 5.3 Codex. And this one is a genuinely different level. It combines the best coding performance they've ever had with stronger reasoning and broader professional knowledge, all in one model. It's 25% faster than the previous version. Not a minor tweak, a meaningful jump. What's wild is that the Codex team used early versions of this model to help debug its own training and manage its own deployment. The model actively helped build itself. OpenAI's blog said the team was genuinely surprised by how much it accelerated the whole development process. If that doesn't tell you where this is heading, nothing will. Then a week later, they released GPT 5.3 Codex Spark, a smaller, faster version for real-time coding over 1,000 tokens per second, about 15 times faster than earlier Codex versions. Currently in research preview for Chat GPT Pro users, it's built for when you need near-instant responses while actively working through a problem. And as of March 2026, the current default is GPT 5.4, which brings the coding strength of GPT 5.3 Codex together with better reasoning, tool use, and support for professional tasks like spreadsheets, presentations, and documents. It's not just a coding model anymore. Now, here's where it gets interesting for people who are not developers because OpenAI also launched a dedicated Codex desktop app. It launched for macOS in February 2026 and came to Windows in March 2026. So the app is designed to be a command center. You can run multiple coding agents in parallel. You can start a task, let Codex work on it in the background, start another task, come back and review what it did. You see clean diffs, meaning you see exactly what changed, what was added, what was removed. You can review it before anything goes live. And here's what's really important. Codex provides frequent updates while it's working. You don't just hand it a task and wait. It keeps you in the loop on key decisions and progress as it goes. So you're always in control. There's also a plugins directory now. You can discover and install package workflows built specifically for Codex. Teams can share setups across projects. It's built for real work environments, not just individual use. Okay, so here's the question I know you're thinking. Can you actually use this if you don't know how to code? The honest answer is yes, with some caveats. Non-coders can give Codex instructions in plain English and it handles the technical execution. You describe what you want, it figures out how to build it. For simpler projects, personal websites, small tools, automations, this is genuinely accessible even without a technical background. The more complex the project, the more helpful it is to understand at least the basics of what you're asking for. But you don't need to write the code yourself. That's the shift. Codex is included with Chat GPT Plus, Pro, Business, Edu, and Enterprise plans. You can use it in the desktop app, the CLI if you're more technical, directly in your IDE like VS Code, in the Chat GPT web interface, and on iOS. It works wherever you work. When I first started using Codex, I was honestly overwhelmed. There are so many settings, so many models, and the pace of updates is relentless. And that's when I created a community called AI Profit Boardroom. It's got over 2,000 members all focused on learning AI together and sharing what actually works. It taught me which workflows save time versus which ones waste it. The community shares real use cases and practical implementations. If you're serious about using AI to improve your work and skills, check it out. Link in the description. Let me get really practical. What can Codex actually do for you day-to-day? First, writing features from scratch. You describe what you want your app or website to do, Codex writes the code, tests it, and gives you the result to review before anything gets merged. You're not in the weeds. You're just reviewing the output. Second, debugging. You point it at a problem, describe the error, and it investigates and fixes it. Not just suggesting what might be wrong, actually going in and fixing it. That alone saves a huge amount of time if you've ever spent an afternoon staring at a bug. Third, code review. The model was specifically built to catch critical bugs before they ship. If you're building anything that goes live, that alone is useful. Fourth, full projects start to finish. Not just code snippets, full architecture, file structure, the whole thing. And fifth, professional knowledge work. Because GPT 5.4 has broader capabilities, Codex can now help with spreadsheets, presentations, and documents as part of longer workflows. That's the part most people miss. It's not just a coding tool, it's starting to look more like a general work assistant. OpenAI's own framing is that Codex moves developers from writing every line of code to directing and reviewing agents that do the work. The developer becomes the orchestrator. And that shift matters even if you're not a developer because it means the bar for building things just got a lot lower. In March 2026, OpenAI announced plans to merge Chat GPT, Codex, and their Atlas browser into a single unified desktop app. One tool, one login, everything connected. That's where this is heading. An AI environment for all kinds of knowledge work, not just coding. They're also bringing Astral's Python developer tools into Codex following an acquisition. If you work with Python, that's going to make a noticeable difference. A few things worth keeping an eye on. API access for newer models is still rolling out for developers. Codex Spark is still in research preview. The unified desktop super app is in the works. And OpenAI is actively expanding Codex for enterprise teams and building out the plugin ecosystem. This is not a finished product. It's evolving fast, which means if you're not paying attention to it now, you're going to be playing catch-up in a few months. That's the update. New models, a new desktop app, parallel agents, real-time coding, and a super app on the way. Codex is available on Plus, Pro, Business, Edu, and Enterprise plans right now across the app, CLI, IDE, and web. If you want to try it, open Chat GPT, find Codex in the sidebar, connect to GitHub repo, and give it something small. See how it handles it. Then build from there. If you're looking to dive deeper into AI tools and actually implement them in your work, I recommend AI Profit Boardroom. Over 2,000 people learning how to use AI effectively. Everyone shares real experiences. What's working, what's not. Which tools are worth your time, which ones to skip. No hype, just solid information and practical guidance from people doing the work. It's helped me stay on top of updates like this one and figure out how to actually apply them. Link in the description if you want to check it out. And if you want the full process, SOPs, and 100 plus AI use cases like this one, join the AI Success Lab. Links in the comments and description. You'll get all the video notes from there, plus access to our community of 58,000 members who are crushing it with AI.