Posts

The ML Technique Every Founder Should Know

The ML Technique Every Founder Should Know

YC Visiting Partner Francois Chaubard and YC General Partner Ankit Gupta break down diffusion, the machine learning framework behind generative AI models like Sora and Midjourney. They discuss its core principles, trace its evolution from complex KL-divergence methods to the elegant simplicity of flow matching, and explore its vast applications beyond images, from protein folding to robotics, arguing it's a key component for future AI systems.

Effect Oriented Programming • Bill Frasure, Bruce Eckel, James Ward & Andrew Harmel-Law • GOTO 2026

Effect Oriented Programming • Bill Frasure, Bruce Eckel, James Ward & Andrew Harmel-Law • GOTO 2026

Authors Bill Frasure, Bruce Eckel, and James Ward discuss the core concepts of Effect-Oriented Programming. They explain how effects are composable operations that encapsulate side effects and defer execution, allowing developers to manage unpredictability with compiler-checked types. The conversation covers ZIO, the expansion of effect systems into languages like TypeScript and Kotlin, and their unique, constraint-driven writing process.

No Priors Live: Building Durable Software in the AI Age with MongoDB President & CEO CJ Desai

No Priors Live: Building Durable Software in the AI Age with MongoDB President & CEO CJ Desai

CJ Desai, CEO of MongoDB, discusses why platforms, not products, are the key to long-term success in the software industry, especially in the age of AI. He explores the shifting landscape of enterprise software, the reality of AI adoption in Fortune 500 companies, and what truly constitutes a "moat" when software can be generated on demand.

What is Agent Observability?

What is Agent Observability?

Lior Gavish, CTO and co-founder of Monte Carlo Data, discusses the critical transition from data observability to agent observability. He covers the widespread adoption of AI agents in data teams, the new challenges they introduce for monitoring, and why traditional tools fall short in providing the necessary insights into agent performance, security, and governance.

Context Engineering Our Way to Long-Horizon Agents: LangChain’s Harrison Chase

Context Engineering Our Way to Long-Horizon Agents: LangChain’s Harrison Chase

Harrison Chase, co-founder of LangChain, explains the evolution of AI agents from early, rigid scaffolding to modern, flexible "harnesses." He argues that "context engineering"—managing what an LLM sees—is the key to building effective long-horizon agents. Chase also explores how agent development differs from traditional software, highlighting the critical role of traces as the new source of truth and memory systems that enable agents to improve themselves over time.

SW Design, Architecture & Clarity at Scale • Sam Newman, Jacqui Read & Simon Rohrer • GOTO 2025

SW Design, Architecture & Clarity at Scale • Sam Newman, Jacqui Read & Simon Rohrer • GOTO 2025

A panel discussion with Sam Newman, Jacqui Read, and Simon Rohrer exploring the intersection of software design and architecture. The conversation delves into the critical role of communication, the practical application of Architecture Decision Records (ADRs), strategies for bridging the gap between architects and developers, and modern approaches to standardization through platform engineering and creating agile enterprise architectures.