How we learn to code together remotely
summary
Study group moves online and tests many formats: small sessions (typically 5–10 attendees) land back on jitsi meet for reliability, while experiments with Mozilla Hubs show useful spatialized voice but confuse non‑gamer attendees. Collaborative notes use hackmd; code of conduct moderation and captioning are essential. A side project builds a “clap detector” with Teachable Machine → TensorFlow, exported to an Electron app that calls robot.js to type a clap emoji; model trains on ~80 background samples, works in real time but is currently macOS‑only.
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chapters (5)
- 0:00Start
- 5:59start with a catch-up or introduction round
- 15:35upload your own 3d models for your characters
- 21:53share a workspace in visual studio
- 39:07automating the keyboard
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