Keynote: Django Reimagined For The Age of AI with Marlene Mhangami
summary
AI is already a massive force — ChatGPT hits ~100 million users in under two months and ~5.2 billion monthly visits — and LLMs behave as statistical autocomplete, demonstrated by a probability visualizer that shows a 51% chance of “lake” after “a lovely day in Chicago.” Concrete tools and patterns appear: GPT‑4.1 via Azure OpenAI, RAG for grounding, MCP (with LangChain and Hugging Face Flux as an example tool), agents.mmd to steer vibe coding, GitHub Copilot, offline small models (FI), a probability visualizer site, and an experimental terminal Django Girls offline prototype.
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chapters (5)
- 0:00Django and AI integration
- 4:23No magic in AI dev
- 11:55Context matters with LLMs
- 25:44Avoid leaving people behind
- 31:00Q&A
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