Machine Learning Fundamentals, Part 2 with Shannon Wirtz

We continue our conversation with Shannon Wirtz, diving into ensemble methods, neural networks (including CNNs, RNNs, and Transformers), model training and evaluation techniques, interpretation methods, and practical learning resources for those getting started with ML.

Machine Learning Fundamentals, Part 1 with Shannon Wirtz

Shannon Wirtz, product analyst at Angi, joins us to demystify machine learning fundamentals. We explore what ML actually means, how it differs from traditional programming, and dive deep into core concepts including models, features, training data, and the various types of learning approaches.

Domain Modeling Made Functional, Part 1 with Scott Wlaschin

Scott Wlaschin, author of "Domain Modeling Made Functional" and creator of F# for Fun and Profit, joins us to discuss the powerful pairing of DDD and functional programming. In Part 1 we focus on DDD, covering strategic vs. tactical DDD, (sub)domains, bounded contexts, and the critical importance of listening and communication in software design.

Boosting Laravel Through AI with Ashley Hindle

Ashley Hindle, creator of Laravel Boost, joins us to demystify AI terminology, explore practical AI development workflows, and discuss how Laravel Boost accelerates AI-assisted development with structured guidelines, MCP tools, and version-specific documentation.

All Aboard the PostgreSQL Train with Bruce Momjian

Bruce Momjian traces Postgres's 39-year journey from Berkeley to today, why extensibility (PostGIS, JSON, pgvector) became its superpower, and how the community sustains momentum. We cover TDE trade-offs in core, scaling and storage realities, and decoupled storage/compute in the cloud (Aurora, Neon) - plus what it means to stay 'on the train'.