A deep dive with Sam Aaron, the creator of Sonic Pi, exploring his journey from early programming on a ZX Spectrum to creating a global platform for code-based music. The conversation covers the technical architecture of Sonic Pi, the critical role of Erlang's BEAM for concurrency, and the future direction with his new project, Tau5, which leverages AI for development and security testing.
Ekaterina Gorshkova, author of "Kafka for Architects", discusses her journey with Apache Kafka, from its early adoption in enterprise integration to its modern role as a foundational layer for AI and ML systems. The conversation covers key architectural decisions, the limitations of Kafka, and why the real challenges are often organizational rather than technical.
Changan Chen, co-founder of Rhoda AI, discusses their vision-first approach to building foundation models for robotics. The conversation covers their unique training pipeline, the distinction between policy and world models, and the path to deploying data-efficient, reliable robots in real-world industrial settings.
Java Champion Ben Evans provides a data-driven analysis of Java's health in 2026, arguing against its perceived decline. He covers its robust ecosystem, the core tension between dynamism and integrity, its evolving role in AI, and a detailed roadmap including Project Valhalla and the Vector API.
Marcin Grzejszczak, a Java Champion and Spring Cloud Contract contributor, discusses how a production-breaking typo led to the creation of Spring Cloud Contract. He outlines an AI-powered future for contract testing, leveraging production traffic and OpenAPI specs to generate and validate contracts automatically. Marcin also emphasizes that 'context' is the most underrated pillar of observability, transforming raw logs, metrics, and traces into actionable insights.
Max Hodak, co-founder of Neuralink and founder of Science, discusses the company's retinal implant that restores sight, the concept of the brain as a computer with a definable API, the surprising parallels between neural representations and latent spaces in AI, and the future of bio-hybrid interfaces.