Open-source learning environment

Courses that run on your desktop, built around your goals

A self-contained desktop app: lessons, exercise workspaces, spaced repetition, and a bundled Go toolchain that grades your code with real tests — offline, no accounts. Describe the audience and outcome, let an AI coding tool generate the content.

terminal
$ gh repo clone jmilne22/vibe-learn
$ npm run new-course -- python
$ claude "Create a Python course"
$ npm run build
# Course ready at dist/python/
Get the desktop app
Windows
Installer .exe
macOS
Disk image .dmg · archive .zip
Linux
.deb · .rpm · portable .tar.gz for any distro

Every build bundles the course, clean exercise workspaces, vendored modules, and the Go toolchain — nothing to install, works offline. All releases →

Preview the courses in your browser
Infrastructure Development with Go
From DevOps engineer to infrastructure developer. Build CLI tools, API clients, concurrent services, networking utilities, container internals, Kubernetes controllers, and algorithm practice.
13 modules · ~10-20 hours
Sample Course
A starter template demonstrating every platform feature. Fork this as a base for your own course.
Template
3 modules · ~2-4 hours

The browser preview covers lessons and flashcards. Test-graded exercises need the desktop app (or a local checkout running vibe watch).

How it works
01
Scaffold
Create a course directory with the right lesson, exercise, and asset structure.
npm run new-course -- python
02
Generate
Give your AI tool the starter prompt, learner profile, and target outcome.
claude "Create a Python course"
03
Build and ship
Compile markdown and YAML into a static site that can be deployed anywhere.
npm run build
What you get
>_
Lessons & code comparisons
Markdown with syntax highlighting and side-by-side code comparisons. Show the same concept in two languages.
[ ]
Exercises & challenges
Warmups, challenges, multiple variants, difficulty modes, progressive hints, and annotated solutions.
SRS
Spaced repetition & flashcards
FSRS scheduling surfaces exercises and flashcards when you're about to forget. Review, discover, and weak-spot modes.
|||
Analytics & progress
Mastery dashboard with health cards, heatmaps, streaks, action items, and full data export. All local, no accounts.

Content files drive features — no registries, no config files, no wiring. Drop files in the right place and the build figures out the rest.

Drop a course folder — it appears on the site
The build scans courses/ for any directory with a course.yaml. Add a folder, rebuild, done.
courses/python/ + course.yaml → auto-discovered
Add a content file — the feature activates
Each plugin declares a content pattern. If a course has matching files, it gets the feature. No files? No dead links.
content/flashcards/flashcards.yaml → flashcards page active
Start building your course

Works with Claude Code, Cursor, Copilot, Augment, or any AI coding tool. See STARTER_PROMPT.md to get started.

Fork on GitHub