Ep72: Live Coding Fails and Fixes + Why LLMs Lose the Plot

What this episode covers

My recap of virtual presentations, live streams, and workshop support — sharing wins, lessons from a humbling live coding session, and a fascinating article on solving long-running LLM memory problems. Highlights: Delivered a virtual meetup for the San Francisco ACM on building knowledge graphs with the Neo4j GraphRAG Python package (code repository) Helped as a TA during a Road to Nodes AI workshop covering MCP server integrations with Neo4j. Attempted a live stream refactoring Postgres to Neo4j using OGM — ran into challenges that revealed documentation gaps and learning opportunities Progress on the AI Java book with a productive working session Shared a blog post by James Dunham: "Long Running LLM Conversations Need Working Memory, Not Just More Context" — which mirrors issues encountered in a prior RPG project where LLMs lost story continuity over time Upcoming: Road to Nodes AI workshop on long-term memory & agentic workflows (free, virtual) Upcoming: NODES AI virtual conference — April 15th (free)

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