Full-Stack

You have built a CLI tool and a REST API with AI. Now let us go full-stack. You are going to build a complete analytics dashboard with a frontend, backend, database, authentication, and charts — all in one project. The project: DevPulse — a developer activity dashboard that tracks coding sessions, displays charts, and lets users manage their data. It uses Next.js, Tailwind CSS, PostgreSQL, and Auth.js for authentication. This project uses three AI tools together: Cursor Composer for scaffolding and UI, Claude Code for backend logic and database work, and Copilot for inline completions. You will see how they complement each other in a real workflow. ...

This is the final article in the DevTools series. In the previous 17 articles, you learned Git, Docker, and SQL separately. Now you will use all three together to build and deploy a real project. We will build a simple task management API with a PostgreSQL database. You will set up a Git repository with feature branches, write the API, Dockerize everything, add a CI/CD pipeline with GitHub Actions, and deploy it to a server. ...

You have built a complete Ktor backend with authentication, database, WebSockets, Docker, and CI/CD. Now it is time to connect everything — a Kotlin backend and a Kotlin client sharing the same data models. In this final tutorial, you will create shared data models, build a Ktor Client that consumes your API, and see how a KMP mobile app connects to your backend. The Full-Stack Kotlin Vision Most full-stack projects look like this: ...