algo-learn

This is the prototype of a modern learning platform for a typical algorithms and data structures course.

Design philosophy

• We prefer quality to quantity: It is important to make the user experience as smooth as possible, before expanding the content.
• We are incorporating the principles of constructive alignment, active learning, spaced repetition, and gamification.

Development

While you are free to use npm or yarn, we recommend bun.

Install bun

Follow the instructions to install bun:

curl -fsSL https://bun.sh/install | bash

Once bun is installed, you can download and install the project's dependencies:

bun install --frozen-lockfile

This command can also be used to install missing dependencies, e.g. when dependencies were changed.

The following command will start a local HTTP server for development:

bun dev

Configure your IDE

In principle, you're now in position to start development. However, we strongly recommend you use VS Code as your IDE and install the following extensions:

• Visual Studio Code
• ESLint
• Stylelint
• Tailwind CSS IntelliSense
• Prettier - Code formatter
• Auto Rename Tag
• optional: GitHub Copilot
• optional: Atom One Dark Theme

Run format

To format the code according to the project's settings, run:

bun run format

Run tests

Run all tests (format checker, unit tests, linter, type checker):

bun run test

To only run the unit tests one can use

bun test

Build for production

bun run build

Major libraries used

• Svelte
• Tailwind CSS

Staging and Deployment

Continuous integration is provided by GitHub Actions, see .github/workflows. In short:

• Push events to the main branch and pull requests trigger the staging build, the result is deployed in the staging area at https://tcs.uni-frankfurt.de/algo-learn-testing/.
• Push events to the stable branch trigger the production build, the result is deployed at https://tcs.uni-frankfurt.de/algo-learn/.

License

MIT