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Learning How to Learn in the AI Era

Talkat PyData Tel Aviv 2025 · on Wednesday, 2025-11-05· at 16:00· Blue· [ai-assisted-development, career-development]
slides:none on file

Prototype notebook becomes a production-ready recipe agent that actually works: it queries the web, returns at most three recipes, summarizes ingredients and prep time, and supports iterative human feedback. Development uses LangChain’s LangGraph for flow graphs, Google Colab for iterating, LangSmith for tracing, a Memory Bank for shared project context, structured JSON outputs, and a Makefile for reproducible setup. UI ships quickly with Streamlit after Cursor generates glue code, the final app appears in about 2.5 hours and reuses a prompt block that saves ~10 lines of code.

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