Gemini Conductor: Google's NEW AI Vibe Coding Tool is INSANE!
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Gemini Conductor: Google's NEW AI Vibe Coding Tool is INSANE!

Julian Goldie SEO 31.12.2025 2 750 просмотров 47 лайков обн. 18.02.2026
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Want to make money and save time with AI? Get AI Coaching, Support & Courses 👉 https://juliangoldieai.com/07L1kg Get a FREE AI Course + 1000 NEW AI Agents 👉 https://juliangoldieai.com/5iUeBR Want to know how I make videos like these? Join the AI Profit Boardroom → https://juliangoldieai.com/07L1kg Google Gemini Conductor: The Ultimate AI Coding Tool for VS Code Learn how to use Google's new Gemini Conductor to build professional apps and landing pages using natural language. This VS Code extension prevents context loss and broken code by using persistent documentation and structured checkpoints. 00:00 - Intro 01:13 - What is Gemini Conductor? 02:17 - Key Features & Benefits 03:42 - How to Install Gemini CLI 04:19 - VS Code Extension Setup 05:00 - Building a Landing Page 07:14 - Conductor vs. Cursor & Claude 08:38 - Final Verdict & Next Steps

Оглавление (8 сегментов)

  1. 0:00 Intro 249 сл.
  2. 1:13 What is Gemini Conductor? 202 сл.
  3. 2:17 Key Features & Benefits 272 сл.
  4. 3:42 How to Install Gemini CLI 119 сл.
  5. 4:19 VS Code Extension Setup 109 сл.
  6. 5:00 Building a Landing Page 434 сл.
  7. 7:14 Conductor vs. Cursor & Claude 273 сл.
  8. 8:38 Final Verdict & Next Steps 149 сл.
0:00

Intro

Google just dropped Gemini Conductor and it's absolutely wild. This thing lets you build apps in VS Code by just vibing with AI. No more broken code, no more loss context, no more starting over. I'm going to show you exactly how to set it up and build a real landing page in like 5 minutes. This is perfect for the AI profit boardroom because we can automate our entire website development process. And yeah, you can literally just tell it what you want and it actually works. Okay, so Google just released something called Gemini Conductor, and it's honestly one of the coolest AI coding tools I've seen. Here's why this matters. You know how when you're working with AI coding tools, the AI just forgets everything? Like, you ask it to build something, it starts, then it messes up, and you have to start all over again. That's super annoying. Gemini Conductor fixes that. It creates these markdown files that keep track of everything. Your project specs, your plans, your progress. So, the AI never loses context. It's like giving the AI a notebook so it doesn't forget what it's doing. 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. Now, before I show you how to
1:13

What is Gemini Conductor?

install this thing, let me explain what it actually does. Gemini Conductor is an extension for Google's Gemini CLI. CLI just means command line interface. It's that black terminal thing. But don't worry, you can use it right inside VS Code. VS Code is that coding editor everyone uses. And here's the cool part. You can do what people are calling vibe coding. Vibe coding means you just type what you want in normal language. Like add a member success section to my landing page. And Conductor turns that into actual working code with proper structure and planning. So instead of the AI just throwing random code at you, it creates organized workflows. It makes a spec file, then a plan file, then it implements the code in stages, and you approve each stage before it continues. This is huge because it means you're not going to end up with a giant mess of broken code. Everything stays organized, everything stays documented, and if something goes wrong, you can revert back easily. This is exactly what we need in the AI Profit Boardroom for building out our automation tools and landing pages without constantly fixing broken stuff. Let me walk you through
2:17

Key Features & Benefits

what makes this different from other AI coding tools. First, it has persistent documentation. Every project gets a vision file in Markdown. Every feature gets its own spec and plan. So, you can always go back and see what you trying to build. Second, it has built-in checkpoints. The AI doesn't just dump all the code at once. It stops and asks for your approval at key moments. Third, it includes automatic test coverage. By default, it adds tests to 80% of your code. Fourth, it integrates with Git, so you can track changes and revert if needed. And fifth, it has code style guides built in so your code looks professional and consistent. Now, I'm going to show you exactly how to install this and use it. This is going to be super practical. We're going to set up Gemini Conductor in VS Code, and then we're going to build a real landing page section for the AI Profit Boardroom, something that actually converts visitors into members. And I'm going to show you every single step. And let me tell you something important right now. If you're watching this and thinking, "Wow, I could use AI to automate my entire business. " You you're right. That's exactly what we do in the AI Profit Boardroom. We use tools like Gemini Conductor to build landing pages, automate workflows, and create systems that save hours every single day. So, if you want to learn how to save time and automate your business with AI tools like Gemini Conductor, check out the AI Profit Boardroom. Link is in the description. Right back to building.
3:42

How to Install Gemini CLI

First step is installing the Gemini CLI globally on your computer. Open your terminal or command prompt. You can do this in VS Code 2. Just go to terminal and click new terminal. Then type this command. npm install g a Googlei clay. Hit enter. This is going to take a minute to download and install. Just wait until it finishes. Once that's done, you need to authenticate with your Google account. Type Gemini off. It's going to open a browser window. Sign in with your Google account. Click allow when it asks for permission. Then you can close that browser tab and go back to your terminal. Next, we're going to install the VS Code extension. In your
4:19

VS Code Extension Setup

terminal, type Gemini. Then type this / command id install. This installs the Gemini CLI companion extension for VS Code. You might see a notification in VS Code asking if you want to install it. Click yes. Once it's installed, you might need to reload VS Code. Now you've got the extension running. Right now we need to install conductor itself. In your terminal type gemini extensions install httpslgithub. com gemini client extensions conductor. Wait for it to finish. Once it's done you need to enable IDE integration. Type ID enable. This makes sure conductor can work directly in VS Code with inline diffs and file context awareness. Okay.
5:00

Building a Landing Page

So now you've got everything installed. Let me show you how to actually use this thing. We're going to build a member success section for the AI profit boardroom landing page. This section is going to showcase member wins, testimonials, and results to convince visitors to join. First, you set up your project in VS Code. Open your project folder. Then, in the terminal, type gemini. Now, type the conductor. Setup. This is going to ask you to describe your project vision. Type something like, "Build a high converting landing page for the AI profit boardroom that showcases our AI automation community member success stories and the value of joining to get more leads, customers, and traffic through AI tools. " Hit enter. Conductor is going to create a markdown file with your project vision. Now, we're going to create a new feature track. Type taker conductor new track. It's going to ask what feature you want to build. type member success section with testimonials, metrics, and social proof to convert visitors into members. Conductor is going to create two files, a spec file and a plan file. The spec file describes exactly what the feature should do. The plan file breaks down how to build it step by step. Now you've got your spec and plan files. Time to implement the code. Type conductor. implement. Conductor is going to start generating code based on the plan. But here's the cool part. It doesn't just dump all the code at once. It implements in stages. After each stage, it stops and shows you what it did. You can review the changes. You can see inline diffs right in VS Code. If you like what you see, you approve it. Just type yes or approve. If you don't like something, you can reject it and give feedback in plain English. As Conductor builds your member success section, it's automatically adding tests. By default, it aims for 80% test coverage. It also applies code style guides so your code looks clean and consistent. Let's say conductor makes a mistake. No problem. Type conductor revert. It's going to show you a list of recent changes. Pick the one you want to undo. Your code is back to working. Now, here's what I love about this whole workflow. Everything is documented. You've got your project vision file. You've got spec files for each feature. You've got plan files showing how everything was built. If you come back to this project in 3 months, you can read those files and remember exactly what you were doing. Let's talk about
7:14

Conductor vs. Cursor & Claude

why this is actually insane compared to other tools. You've probably heard of Cursor or Claude or GitHub Copilot. Those are all great, but they have one big problem, context loss. The AI forgets what you built before. You have to reexlain everything. Gemini Conductor solves this with persistent markdown files. Everything is saved. The AI can always refer back to your project vision, your specs, your plans. It never forgets. Another thing that makes Conductor insane is the checkpoint system. Other AI coding tools just generate a bunch of code and hope it works. Conductor prevents that by stopping at checkpoints. You review each stage. You catch problems early. You don't end up with broken code. And the automatic test coverage is a gamecher. You get professional quality code without the extra effort. Now, let me be honest about the downsides. First, it's CLI based. You got to use the terminal. Some people find that intimidating, but the commands are simple. Once you do it a few times, it becomes natural. Second, you need to set up the Gemini CLI first. That's extra steps, but I walked you through it. It takes a few minutes. Third, you got to learn the slash commands, but there's only like five or six. The pros outweigh the cons by a mile. You get persistent context. You get native VS Code integration. You get checkpoints. You get automatic tests. You get git integration. And you get to vibe code by just describing what you want. This is exactly what we need in the AI profit boardroom to build fast and build things that actually work. All
8:38

Final Verdict & Next Steps

right. So, here's what you need to do right now. Go install the Gemini CLI. Install the VS Code extension. Install Conductor, then start building. Pick a small project, maybe a landing page section, run conductors setup, create a track, implement it, see how it works, 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 40,000 members who are crushing it with AI. And one more thing, if you're serious about using AI to automate your business and save time, the AI profit boardroom is where you need to be. We teach you exactly how to use tools like Gemini Conductor to build landing pages, automate workflows, and grow your business. Link is in the description.

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