In this episode, I give a whirlwind tour of upcoming events, share lessons learned from building an agentic Java application with AI coding tools, and dive into an academic paper on RAG benchmarking.
- Upcoming events: All Things Open, JCON USA, Florida JUG tour, and NODES 2026 (Nov 11–12, free and virtual)
- Road to NODES workshops: stopping agent hallucinations, graph reasoning, building AI that learns, context graphs & agent memory
- Building an agentic Java app to streamline library book searches across multiple platforms
- The over-optimization trap: choosing what to prioritize when AI expands what's possible in a short timeframe
- AI-generated presentation outlines: good content, but missing the relatable storytelling that makes a session connect
- The outsourcing framework: what to delegate to AI vs. what to keep in-house for creative work
- The NICD RAG benchmarking paper: false positives/negatives, multi-hop reasoning, and safe refusal answers
- Four pillars of RAG: question understanding, information retrieval, reasoning, and response synthesis
- How the study modified traditional RAG metrics (answer relevancy, faithfulness, factual correctness) to reduce expensive LLM calls
As always, thanks for listening, and happy coding.
