Aug 25, 2026

The 12 KB File That Replaces Weeks of Training (with Tristan Handy)

Tristan Handy, founder and CEO of dbt Labs, details the evolution of analytics engineering from a 2016 study into a tool used by over 100,000 data teams. He explains his decision to use SQL over Spark for accessibility, the concept of "progressive complexity," and how dbt projects transform raw data into modeled tables using a Directed Acyclic Graph. Handy elaborates on the critical role of the semantic layer in ensuring consistent metric definitions for both human users and AI agents, especially in large organizations. He introduces the dbt Fusion Engine, aiming to bring type safety and universal SQL understanding, and discusses how 12-kilobyte skill files can revolutionize large-scale dbt migrations, reducing them from years to weeks by enabling AI agents to absorb vast amounts of expert knowledge.

Aug 22, 2026

The Agent Behind the Curtain: Building the Oz Cloud Agent Platform — Safia Abdalla, Warp

Safia Abdalla discusses Warp's cloud agent platform, emphasizing its core principle of absorbing complexity from the user. She details features like flexible sandboxes, multi-harness support, and API-driven agent orchestration. The talk highlights how agents manage Warp's open-source repository—from issue triage to PR review—and introduces the "potter's workshop" analogy as a superior model to the "software factory" for modern, human-centric software development.

Aug 22, 2026

Preferences Over Benchmarks: Model Routing — Archana Kamath & Tyler Gillam, DigitalOcean

This talk argues against the common practice of picking LLMs based solely on leaderboards, emphasizing that there's no single best model, only the right one for a given request. It introduces Digital Ocean's Inference Router, a customizable, open-source solution that intelligently selects models based on user-defined preferences (cost, latency, task, quality) rather than benchmarks, demonstrating significant cost savings and performance improvements in live demos.

Aug 21, 2026

Supabase: Cash Does Not Equal Success

Paul Copplestone, CEO of Supabase, discusses the company's rapid rise as a leading dev tool. He explains their strategic bet on open-source Postgres, the pivotal "Open Source Firebase" rebrand, and how three distinct "chapters" of AI — from vector databases and code generation to advanced AI agents — have dramatically accelerated Supabase's growth and forced a re-evaluation of developer experience and internal operations.

Aug 17, 2026

Policy Enforcement and Tamper-Evident Audit Chains | ​Imran Siddique | MCP Release Party - Seattle

Imran Siddique introduces cMCP, an open-source gateway that enhances Modular Control Plane (MCP) servers with policy enforcement and tamper-evident audit trails. It achieves this by running Cedar policy evaluation within Trusted Execution Environments (TEEs), ensuring that agent actions are governed securely and verifiably. The talk delves into the concept of "beyond governance" towards verifiable AI, the 'trace' standard for auditable logging, and the importance of confidential computing for regulated industries.

Aug 10, 2026

Peter Steinberger: What Happens When 4.7 Million People Let It Cook

Peter Steinberger, founder of OpenClaw, shares the candid story of building one of the world's largest open-source AI projects. Starting from a personal annoyance, OpenClaw went viral, leading to both immense success and unforeseen challenges, including burnout, security pressures, and feature creep. He offers invaluable lessons on product-market fit, managing hyper-growth in open source, the peril of dependencies, and the philosophy that "fun is velocity" in building impactful technology.