What if your AI could build projects without you lifting a finger?
That’s exactly what GitHub Automaker AI does.
It’s one of the most underrated automation tools on the internet right now — and it’s completely free.
Watch the video below:
Want to make money and save time with AI? Get AI Coaching, Support & Courses.
Join me in the AI Profit Boardroom: https://juliangoldieai.com/21s0mA
Most developers use GitHub to store code.
But what if you could use GitHub to run your code — automatically — with AI agents managing every task for you?
That’s the power of GitHub Automaker AI.
It takes Claude Code and turns it into a full automation engine that plans, builds, and tracks your projects without human input.
You describe what you want.
It does the rest.
And the best part?
It’s free and runs locally on your computer.
What Is GitHub Automaker AI?
GitHub Automaker AI is a local automation framework that connects your GitHub projects with Claude Code.
Once set up, it turns your system into an AI-powered project management hub — complete with Kanban boards, task tracking, sub-agent assignments, and automated progress updates.
You can think of it like your own personal AI factory.
Claude handles the logic.
Automaker handles the structure.
Together, they run your projects like a real team.
Why Developers Are Switching To GitHub Automaker AI
Traditional coding workflows are manual.
You plan features, assign tasks, and push updates yourself.
But with GitHub Automaker AI, that process becomes completely automated.
The tool reads your project, identifies dependencies, and organizes every task inside a Kanban-style dashboard.
Then, it connects to Claude Code — and your AI agents start building.
One agent writes the code.
Another tests it.
Another documents it.
It’s like having a full engineering team inside your laptop.
How To Set It Up
Getting started with GitHub Automaker AI is simple.
Go to the project’s GitHub page and clone the repository.
Open your terminal.
Run the setup command.
When asked how you’d like to run Automaker, select web browser.
That’s it.
A local server starts automatically, and you’ll get a link like:
http://localhost:3000
Click it — and you’ll see the Automaker dashboard.
Now you’re ready to connect it with Claude Code.
Connecting Automaker AI To Claude
To make it work, you’ll need an API key from Anthropic.
Go to your Anthropic dashboard.
Click on API Keys.
Create a new key.
Copy it.
Paste it into Automaker AI.
Click verify.
Once verified, Automaker connects directly to Claude Code.
From this point on, you can control your Claude agents visually — assign tasks, track outputs, and monitor everything from your web interface.
The Kanban Board That Runs Itself
After connecting to Claude, create a new project.
For example, “To-Do List App.”
Click Create Project.
Choose your folder.
Then hit “Generate App Spec.”
Within seconds, Automaker generates all your project’s components — backend, frontend, authentication, and data handling — and places them as cards on your Kanban board.
You’ll see categories like Backlog, In Progress, Waiting for Approval, and Verified.
And here’s the cool part — those cards move automatically as the AI agents complete tasks.
You can literally watch the board update in real time while Claude Code handles the execution behind the scenes.
AI Profiles: Build Your Own AI Team
Inside GitHub Automaker AI, you can create AI Profiles for different use cases.
Want one agent to handle design, another for research, and another for debugging?
You can set that up.
Each profile represents a different AI personality with its own task focus.
It’s like hiring specialized AI teammates.
-
Heavy Task: Handles complex builds or deep analysis.
-
Quick Edit: Perfect for fast updates or bug fixes.
-
Balanced: Manages ongoing workflows.
You can assign these roles across multiple projects — and they’ll all work in parallel.
From Claude Code To Full Automation
What makes this system so powerful is the way Claude Code integrates with Automaker.
Normally, Claude can help you write or debug code — but it doesn’t manage project context on its own.
Automaker fixes that.
It acts as the brain that organizes tasks, while Claude is the muscle that executes them.
Together, they create a feedback loop:
Automaker generates specs → Claude builds features → Automaker verifies results.
This loop repeats automatically until your entire project is complete.
It’s real automation — not theory.
Real Example: Building an App in Minutes
When I tested GitHub Automaker AI, I created a simple to-do app project.
After entering the prompt “Build a to-do list with task status tracking,” Automaker generated every file and structure.
Claude then wrote the code, created the data model, and even built the HTML interface.
All I did was verify the output.
No manual coding.
No micromanagement.
It just worked.
And because everything runs locally, it was blazing fast.
The Hidden Power Of Running Locally
Unlike cloud-based AI tools, GitHub Automaker AI runs 100% on your computer.
That means zero subscription costs, no internet lag, and full control over your projects.
You can work offline, build apps privately, and manage multiple agents at once.
If you’ve ever worried about your code being stored somewhere online — this tool solves that.
Your machine.
Your rules.
Your automation engine.
Advanced Automation Modes
There are two core modes inside Automaker:
Auto Mode — your agents handle everything from start to finish automatically.
Manual Mode — you can approve tasks before execution if you want more control.
You can also use the Plan tab to add new features for future builds — for example, payment integration, dark mode, or custom APIs.
This lets you scale projects like a real dev team — except your “team” is made of Claude-powered AIs.
Why This Matters
The old way of building apps is dying.
Managing projects manually is slow.
Juggling tasks, rewriting specs, and fixing repetitive bugs drains time.
GitHub Automaker AI gives you leverage.
You set the vision.
AI executes it.
You focus on results.
This is the next evolution of software creation — AI as your automation engine.
If you want the templates and AI workflows, check out Julian Goldie’s FREE AI Success Lab Community here:
https://aisuccesslabjuliangoldie.com/
Inside, you’ll see exactly how creators and developers are using GitHub Automaker AI to automate app builds, education systems, and client workflows.
You’ll also get free access to video notes, setup scripts, and live AI experiments from 44,900+ builders using tools like Claude, NotebookLM, and Gemini.
FAQs
What is GitHub Automaker AI?
It’s a free local automation system that connects GitHub and Claude Code to manage, plan, and execute projects using AI agents.
Do I need to know code?
No. You can build apps and websites just by describing what you want.
Can it handle multiple projects?
Yes. You can run parallel builds, each managed by its own AI sub-agents.
Where can I find templates for setup?
You can get full templates and workflows inside the AI Profit Boardroom, plus free guides inside the AI Success Lab.