# This NEW Traycer AI Coding Tool is INSANE (Real AI Build!) 🤯

## Метаданные

- **Канал:** Julian Goldie SEO
- **YouTube:** https://www.youtube.com/watch?v=3afyJD_GOCg
- **Дата:** 26.09.2025
- **Длительность:** 8:18
- **Просмотры:** 4,603
- **Источник:** https://ekstraktznaniy.ru/video/5632

## Описание

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## Транскрипт

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

This new AI coding tool just built a full app feature in minutes. And it didn't just write messy code like other tools. It made a plan first, then it wrote clean code, then it found bugs I didn't even see. Wait until you see what happens when I give it a real coding task. This is not like anything you've seen before. You're going to want this tool after watching this video. You know how most AI coding tools just spit out messy code that barely works? Well, forget everything you know about AI coding because this new tool called Tracer just changed the game completely. And I'm about to show you exactly how it works with a real build. Most AI tools work like this. You give them a prompt, they give you code, half the time it's broken, the other half it's messy. You spend hours fixing it. Sound familiar? But Tracer works totally different. First, it makes a plan, a real plan, like a human developer would. Then it hands that plan to other AI agents. They write the code, then Tracer reviews everything and finds problems before you even run it. I know this sounds too good to be true. So, let me show you exactly how it works with a real example. I'm going to build a search feature for a React app. This is the kind of task that usually takes hours to get right. 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. First, I open up Tracer in VS Code. It's just an extension, super easy to install. I click new task and tell it what I want. Add a search and filter feature to my React app. Something that lets users search through a list of products. Watch this. Tracer doesn't just start writing code. It thinks first. It breaks down my requests into steps. Plan the search component. Set up state management. Create filter functions. Handle user input. Style the interface. Test. Everything works. This is already way better than any other AI tool I've used. But here's where it gets crazy. I can actually edit this plan. If I don't like something, I can change it. If I want to add something, I can. The AI doesn't just take over. I stay in control. Look at this plan it generated. Each step has substeps. Each substep explains exactly what needs to happen. This isn't just a to-do list. This is a real development road map. And here's something cool. I can see it's thinking about edge cases I didn't even mention. What happens if someone searches for an empty string? What if they search too fast? What if the product list is huge? Most AI tools ignore these problems. Tracer thinks about them up front. Now, once I approve the plan, here's where Tracer gets really smart. It can work with other AI coding agents like claude code or cursor. So instead of doing everything itself, it hands off different parts to specialists. Think about it like this. You're the project manager. Tracer is your assistant and you have a team of coding specialists. Your assistant gives each specialist exactly what they need to do their part then puts it all together. This is huge because different AI agents are good at different things. Claude Code is amazing at React components. Cursor is great at TypeScript. Tracer knows how to use each one for what it does best. Watch as I hand this off to Claude code. Tracer sends the plan with all the context, not just build a search component, but here's the exact architecture. Here's how it fits with the existing code. Here's what props it needs. Claude code gets all of this context. So, it writes the search component perfectly on the first try. Clean code, proper naming, good structure, handles all the edge cases from the plan. Then Tracer hands the filter functions to another agent, again with full context. The agent knows exactly what the search component expects. So the filter functions integrate perfectly. This is like having a team of senior developers working on your project. Each one handling their specialty, all coordinated by a really good project manager. But we're not done yet. Here's the part that blew my mind. After all, the code gets written. Tracer automatically reviews everything. It's looking for bugs, performance issues, ways to make the code cleaner. Look at this. It found three potential problems I never would have caught. A memory leak in the search function, a way to make the filters run faster, and a bug that would happen if someone searched for special characters. This isn't just generating code. This is like having a senior developer review everything. And it happens automatically. Now, if you want to scale your business and save hundreds of hours with AI automation like this, you need to check out my AI profit boardroom. It's the best place to get more customers and automate your business with AI. We have members making thousands extra every month just from the AI systems we teach. One member just automated their entire client onboarding process and freed up 20 hours a week. This stuff really works when you know how to use it, right? Link is in the description. Let me show you the before and after. Here's what most AI tools would give me. A basic search that kind of works. No error handling, no optimization, just messy code I'd have to fix later. Now look at what Tracer

### Segment 2 (05:00 - 08:00) [5:00]

delivered. Clean components, proper error handling, optimized performance, comprehensive testing. This is production ready code. The difference is planning. Most AI tools just react to your prompt. Tracer thinks ahead like a real developer. But here's what makes Tracer really different. It works great on big projects. Most AI coding tools fall apart when your code base gets large, too much context, they get confused, they break things. Tracer handles this by using multiple agents in parallel. One agent works on the front end, another handles the back end. They all work from the same plan, so everything fits together perfectly. I tested this on a real client project last week. A feature that usually takes our team 2 days took 4 hours and the code quality was better than what we normally write by hand. Now, let me be real with you. This tool isn't perfect. The free version has limits. You can't run multiple agents at once. The review feature is basic. If you want the full power, you need the pro version. Also, it's tied to VS Code right now. So, if you use a different editor, you're out of luck. and the auto review can sometimes flag things that aren't actually problems, but you can turn that off. Here's my advice. If you want to try this, start with a small feature, something you know how to build normally. See how Tracer breaks it down. Edit the plan to match how you'd really approach it. Then let it hand off to your favorite AI coding agent. Don't expect it to be perfect on day one. Like any tool, you need to learn how to use it right, but once you do, it's incredibly powerful. The key is in the planning phase. Spend time getting that right. A good plan means good code. A bad plan means problems later. Just like real development, also use the review feature smartly. Don't accept every suggestion, but definitely look at a performance and bug warnings. Those are usually spot on. And here's a pro tip. You can actually use Tracer for more than just new features. Try using it to review and improve existing code. It's amazing at finding optimization opportunities you missed. The reason this tool works so well is simple. It copies how good developers actually work. plan first, build second, review third. Most AI tools skip straight to building. That's why they create messy code. But Tracer adds structure to the chaos. It turns AI coding from gambling into engineering. If you're serious about using AI to build better software faster, you need to try this. It's not just another AI tool. It's a completely different approach to AI development. The future of coding isn't just AI writing code. is AI planning, building and reviewing code like a real development team. Tracer is the first tool I've seen that actually delivers on this promise. Go install the VS Code extension. Try it on a real project. You'll see what I mean. The difference is night and day. And if you want to make more money with AI, 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. Get 10,000 plus free workflows, 200 plus chat GPT prompts. See how one member made 10,000 plus years with chat GPT, plus a full blueprint to generate thousands of leads free with AI. What you'll also get is a free AI community, free AI course, and proven AI case studies. Link is in the description below. Make sure you comment and let me know what you think about Tracer. Have you tried it yet? What kind of projects are you working on? Julian reads every single comment.