Lightning Talks (Tuesday) with Andrew Mshar
summary
Three-minute bursts deliver concrete results: an AI experiment reports three teams using ChatGPT Claude Gemini, faster prototyping but looped debugging and the takeaway to blueprint first and have AI write unit tests; a migration case migrates ~200k pages and 130k documents from legacy CMS in six months and flags €10k/month hosting costs; a tool demos a Nanojango browser playground running full Django via Pyodide; a prototype portal uses OAuth2 so participants can donate data without downloading ZIPs.
AI-written summary · about
chapters (9)
- 0:00AI-assisted Django development
- 5:40Legacy Django to Wagtail
- 11:47Cross-cultural team debugging
- 17:41Data donation for research
- 22:16Django apps in one file
- 26:30Open source to company
- 31:50Contributing to Django site
- 37:15AI tools for Wagtail
- 43:35LLMs for Django translations
