Ever wished your projects could manage themselves?
Most people still waste hours every day planning, coding, and organizing tasks manually.
But the truth is — AI can now handle all of that for you.
And one of the best-kept secrets for doing it is GitHub Automaker AI.
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Imagine combining GitHub with an AI project manager that builds apps, manages Kanban boards, and automates your Claude Code workflows — all in real time.
That’s what GitHub Automaker AI does.
This free, open-source automation system connects your GitHub projects with Claude Code, turning your laptop into a full AI development environment.
It’s not just another productivity tool.
It’s a new way to work — where your codebase runs itself and your AI agents handle planning, testing, and deployment automatically.
If you’ve ever wanted to automate projects, create apps faster, or run AI workflows locally, this tutorial is going to show you exactly how GitHub Automaker AI can transform your setup.
What Is GitHub Automaker AI?
GitHub Automaker AI is a free AI workflow builder that acts like your personal project assistant.
It uses AI agents from Claude Code to automate the repetitive parts of building apps, managing tasks, or running complex projects.
Think of it as a fusion of GitHub, Asana, and Claude — inside one simple dashboard.
Once you connect your GitHub repository, Automaker instantly sets up a Kanban-style AI task manager.
Each card on the board represents a real task that your AI agents can execute — coding, editing, testing, or deploying — all handled through Claude’s local API connection.
Most people still track tasks manually.
With GitHub Automaker AI, your AI handles that for you.
Why You Should Use GitHub Automaker AI
Here’s why this matters.
If you’re running multiple projects or trying to stay organized while coding, you’ve probably felt that constant pull between creative work and management work.
GitHub Automaker AI eliminates that problem.
It gives you real visibility into every part of your workflow — without you ever opening a project management tool again.
And because it runs locally, it’s free, private, and completely under your control.
No subscriptions.
No third-party data leaks.
No waiting for cloud syncs.
Just pure, fast, AI automation for builders.
Setting Up GitHub Automaker AI
Here’s how you can get started.
Clone the GitHub Automaker repo from the official source.
Open your terminal and run the setup command.
When prompted, choose “web browser” as your run option.
The system automatically sets up a local development server.
You’ll get a link like http://localhost:xxxx.
Open that in your browser and boom — you’re inside the Automaker dashboard.
Now you can start managing and automating your GitHub projects with AI.
Connect It With Claude Code
Once inside, GitHub Automaker AI will ask for an API key.
That key comes from your Anthropic account — the same one you use for Claude Code.
Just open Anthropic, create a new key, copy it, and paste it into Automaker.
Click verify.
Now Automaker AI is connected to Claude Code.
This gives you full access to Claude’s sub-agents — like Opus and Sonnet — that can execute your project’s subtasks automatically.
It’s like hiring an entire development team of AI engineers that work together seamlessly.
The GitHub Automaker AI Dashboard
Once setup is complete, you’ll see your main dashboard.
You can create a new project instantly.
For example, let’s create a to-do list app.
Click “Quick Setup.”
Name it “To-Do List.”
Select your local folder.
Hit Create Project.
Automaker generates a full AI-driven Kanban board with columns for Backlog, In Progress, Waiting for Approval, and Verified.
And here’s the crazy part — each task moves automatically as your Claude sub-agents complete their actions.
You’re literally watching AI project management in motion.
AI Profiles Inside GitHub Automaker AI
You can also customize your Claude agents using AI Profiles.
These profiles let you set different behavior modes depending on what you need.
Heavy Task for intensive coding or research.
Quick Edit for light updates.
Balanced for general workflows.
You can assign profiles to each agent so they specialize in one part of your project.
It’s like giving your AI team different job roles — developer, tester, manager, or designer — all inside one system.
Real Use Case: Automating a To-Do App Build
Here’s what happens when I use GitHub Automaker AI with Claude Code to build a to-do app.
I create the project.
I type “Generate App Spec.”
The AI instantly generates everything — frontend, backend, authentication, and storage.
Then it assigns those tasks to different Claude agents.
Each agent works on its part.
One writes the code.
One tests it.
One manages integration.
You can literally watch the Kanban cards move as the project completes itself.
No manual coding.
No switching tabs.
Just real AI automation working in the background.
How This Changes the Game
Before GitHub Automaker AI, project management was slow and messy.
You had to plan every detail, track progress, and assign tasks manually.
Now, AI handles it.
You simply describe what you want, and it builds the entire system around that command.
It breaks large goals into smaller tasks, executes them with Claude’s API, and monitors progress in real time.
That’s what makes this a game-changing AI productivity tool for developers, creators, and agencies.
Daily Workflow Example
Every morning, I open GitHub Automaker AI instead of my usual task tracker.
I write a simple command like “Build new dashboard for client portal.”
Automaker creates a project, breaks it into parts, and assigns everything to Claude agents.
I check back later in the day — and most of it’s already done.
This is what AI project management should feel like.
Fast.
Seamless.
Automatic.
Advanced Tips for GitHub Automaker AI
Use Auto Mode for fully automated execution.
Use Manual Mode if you want more control over task approval.
Use the Plan tab to add upcoming features like “Stripe Integration” or “Dark Mode.”
Run Automaker locally to stay private and efficient.
The deeper you go, the more powerful it gets.
You’ll start to realize that this is more than automation — it’s AI-assisted project architecture.
Inside the AI Success Lab
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 are using GitHub Automaker AI to automate education, client systems, and entire content creation processes.
You’ll also get full video notes, GitHub setup scripts, and community-tested workflows from over 44,900 AI builders already doing this daily.
FAQs
What is GitHub Automaker AI?
It’s a free AI automation tool that connects GitHub and Claude Code to build and manage projects automatically.
Can I run it locally?
Yes, it runs fully on your computer with no external servers needed.
Do I need to know code?
No — you can run it from a single terminal command.
Can it work with other AI tools?
Yes, it integrates beautifully with Claude, Cursor, and even Google’s AI stack.
Where can I get templates to automate this?
You can access full templates and workflows inside the AI Profit Boardroom, plus free guides inside the AI Success Lab.
