kali-decoder/advanced-software-engineering-courses

This repository is an interactive online course about AI agent memory systems, meaning how AI agents remember information across conversations and tasks. The course covers the concepts, the underlying architecture, and includes hands-on practice, spread across 14 modules. The lesson content itself is written in plain Markdown, but it is not just meant to be read as text files. It is served through a Next.js web app that adds module navigation, progress tracking, diagrams, and checkpoints along the way, so it feels closer to an interactive learning platform than a static document. The repository is organized into three main pieces: the course source material in a single Markdown file, a course-app folder that holds the Next.js web application, and a CONTRIBUTING guide for anyone who wants to help improve the material. To run the course locally, a person installs dependencies inside the course-app folder and starts the development server, which opens the interactive course in a browser. The app includes a dashboard that groups modules by difficulty level and tracks overall progress, a collapsible lesson reader with section navigation, diagrams for each module's key concepts, and checkpoint lists that save progress using the browser's local storage. The interface uses a simple monochrome, responsive design. The README also includes specific instructions for deploying the app to Vercel, since the Next.js project lives inside the course-app subfolder rather than the repository root, which can cause a 404 error if the wrong root directory is selected during setup. Two deployment options are given to work around this. The project welcomes outside contributions to the course content, the interface, the diagrams, and the documentation, and it points contributors to a CONTRIBUTING file for the setup steps and pull request conventions. The README notes the content and code are maintained for educational use but does not state specific license terms.