# GPT-5 Codex is INSANE...

## Метаданные

- **Канал:** Julian Goldie SEO
- **YouTube:** https://www.youtube.com/watch?v=jM2x5tDwkzk
- **Дата:** 18.09.2025
- **Длительность:** 12:34
- **Просмотры:** 3,444
- **Источник:** https://ekstraktznaniy.ru/video/5738

## Описание

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## Транскрипт

### Segment 1 (00:00 - 05:00) []

Today I'm going to show you the new GPT5 codeex that just dropped. This thing is absolutely crazy. It's 10 times faster on simple tasks. It can work for seven hours straight on complex projects. It reviews your code like a senior engineer. And it can actually see screenshots and build apps from images. This is not just another AI update. This is the future of coding right here. Hey, if we haven't met already, I'm the digital avatar of Julian Goldie, CEO of SEO agency Goldie Agency. Whilst he's helping clients get more leads and customers, I'm here to help you get the latest AI updates. Julian Goldie reads every comment, so make sure you comment below. Let me tell you what just happened. OpenAI didn't just update their coding model. They built something completely different. GPT5 Codeex isn't GPT5 with some coding tweaks. It's a whole new beast trained specifically for real software engineering work. Here's what makes this insane. Most AI models treat all tasks the same. They give the same effort to writing hello world as they do to building a full application. GPT5 Codeex is different. It's smart about effort. Simple tasks get lightning fast responses. Complex tasks get deep thinking time. The numbers are wild. For the easiest 10% of coding tasks, GPT5 Codeex uses 93% fewer tokens than regular GPT5. That means it's literally 10 times faster. But for the hardest 10% of tasks, it spends twice as long thinking. It's like having a teammate who knows when to sprint and when to marathon. But speed isn't even the crazy part. This thing can work independently for over seven hours. I'm talking about complex refactoring projects that touch hundreds of files. It iterates on code. It fixes test failures. It keeps working until the job is done. Most developers can't focus that long. This AI can. And here's where it gets really interesting. GPT5 codeex doesn't just write code. It reviews code like a senior engineer. It understands what your pull request is trying to do. Then it checks if your code actually does that. It looks at your entire codebase. It checks dependencies. It runs tests. It validates behavior. The results speak for themselves. Regular GPT5 makes incorrect comments 13. 7% of the time during code reviews. GPT5 codec drops that to 4. 4%. But the real kicker is high impact comments. Regular GPT5 finds important issues 39. 4% 4% of the time. GPT5 codeex jumps to 52. 4%. This isn't just catching typos. This is finding real bugs before they ship. Now, let me tell you about the agent coding part. This is where things get sci-fi. GPT5 codeex doesn't just suggest code changes. It makes them. It creates files. It runs tests. It pushes commits. It opens pull requests. It's like having a junior developer who never sleeps and never makes the same mistake twice. But wait, there's more. You can upload screenshots. You can show it wireframes. You can point to UI bugs with images. It understands visual context and writes code to match. This changes everything for front-end development. Think about this workflow. Designer creates a mockup. Developer uploads the screenshot to GPT5 codeex. AI writes the HTML, CSS, and JavaScript. It runs the code in a browser. It takes its own screenshot. It compares the result to the original mockup. It iterates until it matches all automatically. This isn't theory. Companies are already using this in production. Cisco Mari saved weeks of work on a critical feature. Dualingo is using it for complex refactoring. Ramp is catching bugs before human reviewers even look at code. Here's what's really happening. OpenAI is turning coding from a human-only activity into a human AI collaboration. And they're doing it through their codeex platform that works everywhere you develop. Your terminal, your IDE, the web, even your phone. The codeex CLI got a massive upgrade. You can now share images right in the command line. It tracks progress with to-do lists. It connects to external systems. It has better approval modes so you control what it can do. And it compacts long conversations so you don't lose context. The new IDE extension brings all this power into VS Code and other editors. You can create cloud tasks without leaving your editor. You can move work between local and cloud seamlessly. The AI maintains full context as you switch environments. But here's the part that might scare some people. This AI is so good at code review that OpenAI uses it to review most of their own pull requests. It catches hundreds of issues every day, often before humans even look at the code. The Codeex team can move faster because they trust their AI reviewer. Now, I need to be real with you about the risks. This isn't magic. It's a powerful tool that needs human oversight. GPT5 codecs can still hallucinate. It can still make mistakes. It can still generate code that looks right, but does the wrong thing. Open AAI knows this. That's why they built in safety controls. By default, Codeex runs in a sandbox with no network access. It asks permission before running dangerous commands, so you can customize security settings based on your risk tolerance, but you still need to review the code

### Segment 2 (05:00 - 10:00) [5:00]

before deploying to production. The pricing makes sense for most developers. It's included with Chat GPT Plus, Pro, Business, Edu, and Enterprise plans. Plus, and business users get enough credits for focused coding sessions. Pro users can support a full work week across multiple projects. Enterprise gets shared credit pools. Here's what this means for the future of coding. Junior developers will become more productive faster. Senior developers will focus on architecture and complex problems while AI handles routine tasks. Code quality will improve because every pull request gets thorough review. Development cycles will speed up because testing and iteration happen automatically. But there's something bigger happening here. Open AAI isn't just making coding easier. They're changing what it means to be a developer. Soon, the best developers won't be the ones who write the most code. They'll direct AI most effectively. This is already happening in SEO and marketing. The agencies that embrace AI early are crushing their competition. The same thing is about to happen in software development. Companies that integrate AI coding agents will ship faster with fewer bugs at lower costs. And we're just at the beginning. GPT5 codeex is good, but it's version one of this approach. Imagine what version 3 will look like. Imagine AI agents that can architect entire systems that can optimize database queries, that can refactor legacy code bases, that can write documentation that actually helps. The timeline is aggressive. GPT5 Codeex is rolling out now to codeex users. API access is coming soon. Other companies are racing to catch up. Google, Microsoft, Amazon, everyone is building coding agents. The next two years will be wild for developer productivity. But here's my prediction. The developers who learn to work with these AI agents will 10x their output. The ones who resist will get left behind. And it's not about AI replacing developers. It's about AI augmented developers replacing traditional developers. This reminds me of when GitHub launched. Suddenly, every developer needed to understand version control or when cloud computing emerged. Suddenly, everyone needed to understand DevOps. AI coding agents are the next inflection point. Get ahead of it or get left behind. The practical steps are simple. If you're a developer, start using Codeex today. Learn how to prompt it effectively. Understand its strengths and limitations. Build workflows that leverage AI for routine tasks while you focus on creative problem solving. If you run a development team, start experimenting now. Set up code review automation. Try the IDE extension. Test the cloud agent on non-critical projects. Build confidence with the technology before your competitors do. If you're a business owner, this changes your software development costs. Projects that took months might take weeks. Bugs that would slip to production get caught automatically. Your development team becomes more productive without hiring more people. The companies using this effectively will have unfair advantages. Faster time to market, higher code quality, lower development costs, more features shipped with the same team size. This isn't a nice to have anymore. It's a competitive necessity. But there's a darker side we need to talk about. Not every developer will adapt well to this change. Some will resist using AI tools. Others will become too dependent on them. The successful developers will find the right balance. Use AI for productivity gains while maintaining core coding skills. The industry is already changing. Job descriptions are starting to mention AI collaboration skills. Interview processes are evolving to test AI assisted development. Boot camps are teaching AI prompting alongside traditional programming. The education system is scrambling to keep up. Here's what I'm watching closely. The first major application built entirely by AI agents. The first startup that replaces their entire development team with AI. The first enterprise that builds internal tools faster than they can plan them. These milestones are coming faster than most people realize. GPT5 Codeex represents more than just better autocomplete. It's the foundation for fully autonomous software development. Today it needs human guidance and review. Tomorrow it might handle entire features independently. The day after that it might build entire applications from business requirements. This progression isn't linear. It's exponential. Each improvement in AI coding capabilities unlocks new use cases. New use cases drive more investment. More investment accelerates development. The flywheel is spinning faster every month. And here's what excites me most. This technology democratizes software development. Small teams can build enterprisegrade applications. Solo developers can ship products that compete with big tech companies. Entrepreneurs with great ideas don't need technical co-founders. The barriers to entry in software are collapsing. Soon the limiting factor won't be coding ability. It'll be product vision, user experience, and market understanding. The technical implementation becomes commoditized. The strategic thinking becomes more valuable. This is already happening in my SEO agency. We use AI to automate routine tasks so our team can focus on strategy and client relationships. The

### Segment 3 (10:00 - 12:00) [10:00]

same pattern will play out in software development. AI handles the implementation. Humans handle the innovation. The timing couldn't be better. We're heading into a period where software demand is exploding while developer supply is constrained. AI coding agents solve this mismatch. They multiply existing developer productivity while lowering barriers for new entrance. But here's the catch. Not all AI coding tools are created equal. GPT5 Codeex is ahead right now, but competition is fierce. Google's Gemini Code, Microsoft's GitHub Copilot, Amazon's Code Whisperer, Meta's Code Llama. Everyone wants a piece of this market. The winners will be determined by execution, not just technology, integration quality, user experience, reliability, security, support, ecosystem effects. Open AAI has early advantages, but they need to maintain their lead through superior product development. For developers choosing tools, don't get locked into one platform. Learn the concepts, understand the capabilities, stay flexible. As the landscape evolves, the specific tools will change. The bottom line is this. GPT5 codeex isn't just an incremental improvement. It's a fundamental shift in how software gets built. Early adopters will capture disproportionate value. Late adopters will struggle to catch up and non-adopters will become obsolete. The question isn't whether AI will transform software development. It's how quickly you'll adapt to benefit from the transformation. The companies and developers who move first will set the pace. Everyone else will be playing catchup. The AI coding revolution is here. GPT5 codeex is just the beginning. The next 5 years will see changes that make today's capabilities look primitive. Position yourself on the right side of this transition. Welcome to the free AI money lab with Julian Goldie. Inside, you'll get 50 plus free AI tools and 200 plus chat GPT SEO prompts. You'll learn how to make money with AI agents, 1,000 plus free NA10 workflows, 200 plus chat GBT prompts, how one member made 10,000 honest plus with chat GPT, a full blueprint to generate 1000s leads free with AI. What you'll also get, free AI community, free AI course, proven AI case studies, and if you're serious about scaling your business with AI, check out my AI profit boardroom at https www. school. com. school. com or eh r i profitlab7462 about. It's the best place to scale your business, get more customers, and save hundreds with AI automation.
