AE
AI Engineer
Episodes
- Why Your Agent’s Brain Needs a Playbook: Practical Wins from Using Ontologies - Jesús Barrasa, Neo4j
- Memory Masterclass: Make Your AI Agents Remember What They Do! — Mark Bain, AIUS
- Graph Intelligence: Enhance Reasoning and Retrieval Using Graph Analytics - Alison & Andreas, Neo4j
- GraphRAG methods to create optimized LLM context windows for Retrieval — Jonathan Larson, Microsoft
- Agentic GraphRAG: Simplifying Retrieval Across Structured & Unstructured Data — Zach Blumenfeld
- Revenue Engineering: How to Price (and Reprice) Your AI Product — Kshitij Grover, Orb
- "Data readiness" is a Myth: Reliable AI with an Agentic Semantic Layer — Anushrut Gupta, PromptQL
- Building Agentic Applications w/ Heroku Managed Inference and Agents — Julián Duque & Anush Dsouza
- Events are the Wrong Abstraction for Your AI Agents - Mason Egger, Temporal.io
- Prompt Engineering is Dead — Nir Gazit, Traceloop
- The Eyes Are The (Context) Window to The Soul: How Windsurf Gets to Know You — Sam Fertig, Windsurf
- Mastering Engineering Flow with Windsurf - Eashan Sinha, Windsurf
- (possible dupe but better sound) What does Enterprise Ready MCP mean? — Tobin South, WorkOS
- CI in the Era of AI: From Unit Tests to Stochastic Evals — Nathan Sobo, Zed
- Fun stories from building OpenRouter and where all this is going - Alex Atallah, OpenRouter
- Building AI Agents that actually automate Knowledge Work - Jerry Liu, LlamaIndex
- RFT, DPO, SFT: Fine-tuning with OpenAI — Ilan Bigio, OpenAI
- Windsurf everywhere, doing everything, all at once - Kevin Hou, Windsurf
- Case Study + Deep Dive: Telemedicine Support Agents with LangGraph/MCP - Dan Mason
- Veo 3 for Developers — Paige Bailey, Google DeepMind