KiloCode + GLM 4.7 is INSANE! 🤯

Build full apps in minutes with AI. No coding experience needed. GLM 4. 7 and Kilo Code just changed the game. You can create websites, automate workflows, build tools, all from simple text prompts. I'm going to show you exactly how to set it up. We're building real projects for the AI profit boardroom. You'll see the whole process, every step, every prompt. And by the end, you'll know how to build anything you want. This is the future of coding. Let's dive in. 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. Today

we're talking about GLM 4. 7 and Kylo Code. This combo is insane. GLM 4. 7 is a brand new AI model. It dropped in December and it's focused on one thing, code. Real world code that actually works. They boosted performance by 41% on some benchmarks. That's massive. And it's open source. Anyone can use it. No crazy fees, just pure AI power for building stuff. Kilo Code is an AI coding assistant. It works right inside VS Code. You type what you want. It builds it. You can generate code, debug problems, refactor files. It even runs terminal commands. It's like having a senior developer on your team. And it works with multiple AI models. GPT, Claude, Gemini, and now GLM 4. 7. So why does this matter? GLM 4. 7 is better at long tasks. It remembers context. It plans ahead. It doesn't lose track halfway through. That means fewer bugs, fewer errors, less time fixing broken code. You get clean output faster. Time saved is time you can use to grow your business. Automate more, build more tools, scale faster. Let me show you how

to set this up. First, you need VS Code. Download it if you don't have it. It's free. Then install the Kilo Code extension. Go to the extensions tab. Search for Kilo Code. Click install. Easy. Now connect it to GLM 4. 7. Open Kilo Code settings. Add your API provider. Choose Z AI. Then switch to the international coding plan. You might need to manually select the model. Just type GLM4. 7 and hit enter. Now you're connected. Let's test it. Type a simple prompt. Create a REST API template in Node Digest. Hit enter. Watch what happens. Kilo Code starts building. It writes the code. Sets up the structure. Boom. You've got a working API template that fast. Now, let's build something

real. Here's the prompt for a front-end project. Generate a responsive landing page for the AI profit boardroom. Make it convert visitors into members. Show the value of AI automation. Highlight community benefits. Use modern design with clear CTAs. I hit enter. Kilo code goes to work. It builds the HTML structure. Adds CSS for responsive design. Create sections for benefits and signup forms. It even adds smooth scrolling and animations. The whole thing looks professional, clean layout, mobile friendly, ready to deploy, and it took less than 2 minutes. GLM 4. 7 understands what you're asking for. It thinks through the design, it structures everything properly. Now, for the back

end, here's the prompt. Create a full express API for the AI profit boardroom member dashboard. Include user authentication, database endpoints for tracking member activity, and admin roots for managing content. Use MongoDB. This is a big ask. Multiple files, different functions, database setup. But watch what happens. Kilo code switches to architect mode. It creates a plan first. Lists out all the files it needs to build. User roots or middleware database models. Then it asks for approval. I approve. Kilo code starts building file by file. It writes the express server setup. Creates the MongoDB connection. Builds the user model with schema validation. Adds JWT authentication. Creates protected routes. sets up error handling. It even writes tests. This is what I mean by thinking ahead. The model understands the full scope. Is engineering a complete system? Let me pause here for a second. If you want to learn how to save time and automate your business with AI tools like Kilo Code and GLM 4. 7, you need to check out the AI profit boardroom. It's a community where we share strategies, tools, and workflows for using AI to grow your business. We focus on automation, productivity, and getting real results. No fluff, just actionable stuff you can use today. You'll get access to tutorials, templates, and a network of people already crushing it with AI. Link is in the description. So, you've got your

code. What's next? Debugging. Every project has bugs. But here's where Kilo Code with GLM 4. 7 gets even better. Let's say you get an error. Maybe the API isn't connecting to the database. Just tell Kylo Code. The user authentication isn't working. Debug this. It reads your code, finds the issue. Maybe you forgot to hash the password. Kilo Code fixes it, rewrites the function, tests it, done. This saves hours. Debugging used to be the most painful part of coding. Now it's automated. Let's talk about advanced

tips. Use detailed prompts. Don't just say build a website. Say build a three-page website for the AI profit boardroom with a homepage, about page, and contact form. Use modern design, fast load times, and mobile optimization. The more specific you are, the better the output. Second, leverage the context window. GLM 4. 7 can handle up to 200,000 tokens. That's a massive codebase. You can feed it your entire project. Ask it to refactor everything. It won't lose track. Third, use architect mode for big projects. Let it plan first. Review the plan, then approve and let it run. Here's another tip. Chain your prompts. Start simple. Create a basic express server, then build on it. Add user authentication, then add a database connection. Then create CRUD endpoints for blog posts. Each step builds on the last. The model remembers everything. By the end, you've got a full application. This approach works great for learning, too. You see how each piece connects. Let's talk about real world use cases. Think about your business. What tasks take forever? Customer on boarding. Build an automated system with forms and email triggers. Content management. Build a custom CMS with exactly the features you need. Lead generation. Build a landing page with AB testing built in. analytics dashboard. Build one that pulls data from your tools. You can build exactly what you need. Custom solutions for your exact problems. Here's what's wild. This technology is only getting better. GLM 4. 7 is the newest version, but there will be 4. 8, 4. 9, 5. 0. Each one will be smarter, faster, more capable. If you start learning this now, you're ahead of the curve. The companies that adopt it first will move faster than everyone else. They'll build better products, test faster, iterate quicker. This is the future and it's happening right now. GLM 4. 7 has special thinking modes. Interle thinking, preserve thinking, turn level thinking. These help the model maintain reasoning state. The AI doesn't forget what it's doing. It keeps track of the task. It adjusts as it goes. This is huge for complex projects. The model builds on what it already created. It maintains consistency. Everything works together. So, here's

what you should do next. Download VS Code. Install Kilo Code. Set up GLM 4. 7. Start with something simple, a single page website, a basic API. Get comfortable with the workflow. Then tackle something bigger. A project you've been putting off. Break it down into steps. Feed those steps to kilo code. Watch it build. And if you want the full process, SOPs, and 100 plus AI use cases like this one, join the AI success lab. It's our free AI community. Links in the comments and description. You'll get all the video notes from there, plus access to our community of 40,000 members who are crushing it with AI. And if you want to go even deeper with automation strategies and business growth tactics, the AI profit boardroom is where you want to be. We focus on using AI to save time, increase productivity, and build systems that work for you. Both links are below. If you found this helpful, smash that like button, subscribe if you haven't already, and drop a comment below telling me what you're going to build first. I read every single comment. I want to know what you're working on, what problems you're solving, what you're creating. Let's keep building. Let's keep using AI to do incredible things. I'll see you in the next one.