Fulling is an AI-powered full-stack engineer agent that automates web development. It uses Next.js, Claude, shadcn/ui, and PostgreSQL. It deploys on Kubernetes. It benefits developers and operations teams by accelerating development and deployment workflows.
git clone https://github.com/FullAgent/fulling.githttps://github.com/FullAgent/fulling
["1. Define the project name and features you want in your full-stack web application. Be specific about the functionalities you need.","2. Specify any additional requirements for the deployment, such as specific Kubernetes configurations or monitoring tools.","3. Copy the prompt template and fill in the placeholders with your project details.","4. Paste the completed prompt into Claude or ChatGPT and let the AI generate the full-stack application.","5. Review the generated code and deployment instructions. Make any necessary adjustments to meet your specific needs."]
Quickly set up a full-stack application with Next.js and PostgreSQL in minutes.
Deploy applications to a Kubernetes cluster without dealing with complex YAML configurations.
Utilize Claude Code to automate repetitive coding tasks and enhance development efficiency.
Manage project configurations and OAuth settings directly through the user interface.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/FullAgent/fullingCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Create a full-stack web application for [PROJECT_NAME] using Next.js, shadcn/ui, and PostgreSQL. The app should have [FEATURES]. Deploy the application on Kubernetes. Ensure the deployment includes [SPECIFIC_REQUIREMENTS].
The AI has successfully created a full-stack web application for a project named 'TaskMaster'. The application includes features such as user authentication, task creation, and task assignment. The frontend is built with Next.js and shadcn/ui, providing a modern and responsive interface. The backend is powered by PostgreSQL, ensuring efficient data management. The application is deployed on Kubernetes, with a scalable and robust infrastructure. The deployment includes CI/CD pipelines, monitoring, and logging, ensuring seamless operation and quick troubleshooting. The AI has also provided detailed documentation on how to use and maintain the application.
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