Apr 23, 2026

How Anthropic’s product team moves faster than anyone else | Cat Wu (Head of Product, Claude Code)

Cat Wu, Head of Product at Anthropic, discusses the radical shift in product development velocity, where shipping cadences have moved from months to days. She details the emerging skills required for AI PMs, emphasizing product taste, rapid iteration, and the importance of building for current, not future, model capabilities. Wu also explores Anthropic's unique mission-driven culture and provides practical advice for leveraging tools like Claude Code and Cowork to automate work and thrive in the AI era.

Apr 23, 2026

Inside Garry Tan's Claude Code Setup

Garry Tan, President & CEO of Y Combinator, introduces GStack, an open-source toolkit that structures Claude into a complete AI engineering team. He demonstrates how GStack's skills—like 'Office Hours' for idea validation, 'Design Shotgun' for UI mockups, and browser-based QA—streamline the development process from concept to code.

Apr 23, 2026

Kafka for Architects • Ekaterina Gorshkova & Viktor Gamov • GOTO 2026

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.

Apr 23, 2026

SAP: Bringing the ‘Operating System’ of a Company into the AI Era with CTO Philipp Herzig

SAP CTO Philipp Herzig discusses the company's AI-driven transformation, focusing on three core pillars: generative UI, AI-native business processes, and a unified data layer. He explores the primary challenges to enterprise AI adoption—scale, data fragmentation, and security—while emphasizing the critical role of verifiability and "agent mining" in creating reliable, compounding value. Herzig also details the limitations of LLMs for predictive analytics on tabular data and introduces SAP's alternative, Relational Pre-trained Transformers (RPT1).

Apr 23, 2026

Why Most Robot Demos Are Fake

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.

Apr 22, 2026

CI/CD Breaks at AI Speed: Tangle, Graphite Stacks, Pro-Model PR Review — Mikhail Parakhin, Shopify

Shopify CTO Mikhail Parakhin details their aggressive internal AI adoption, revealing the internal stack—Tangle, Tangent, and SimGym—that powers reproducible ML, auto-research, and customer simulation. He also discusses how AI shifts the software bottleneck to PR review and CI/CD and explains their use of Liquid AI for low-latency, non-transformer workloads.