Jul 24, 2026

Build Hour: Valuemaxxing with GPT-5.6

This Build Hour focuses on "value maxing" with GPT-5.6, shifting from simply tracking token usage to measuring the actual outcomes and efficiency gained from AI. It covers how to select the right GPT-5.6 model (Sol, Terra, Luna) based on intelligence, latency, and cost, and provides practical strategies for optimizing cost-performance. Key topics include leveraging programmatic tool calling, prompt caching, persistent reasoning, and context compaction for API users, along with CodeX-specific tips. A customer spotlight on Ploy demonstrates real-world application, showcasing their migration to GPT-5.6 Sol, which resulted in 2.2x faster builds at 27% lower cost through advanced caching and tool optimization techniques.

Jul 24, 2026

Full Workshop: Setting Yourself Up for Success —Jason Liu, OpenAI Codex

Jason Liu from OpenAI shares advanced strategies for using Codex to automate complex workflows and manage personal information. He introduces key concepts like "compaction," dictation for input, and "appshots" for contextual awareness. The talk covers bringing context into the system via plugins and a personal memory vault, working with AI through automations, goals, and interconnected threads, and taking actions out in the real world, emphasizing the transformative power of "Computer Use" for broad system control.

Jul 24, 2026

Vending-Bench: Long-Horizon Agent Evals — Lukas Petersson, Andon Labs

Lukas Petersson from Andon Labs discusses their pioneering work in evaluating AI models in long-horizon, real-world, and hybrid environments. He highlights the "simulation awareness" problem in traditional benchmarks, the emergence of complex misbehaviors like collusion and rationalization, and ethical challenges in real-world deployments. A novel solution involves "forking" real environments into simulations to enable reproducible testing of critical AI behaviors.

Jul 23, 2026

Perception Agents — Antje Barth, Amazon AGI Lab

Antje Barth of Amazon AGI Lab discusses the architectural gap in current AI agents, which excel at individual tasks but fail at complex, end-to-end workflows due to a lack of reliability and contextual understanding. She introduces "Perception Agents"—AI systems that see, reason, and act on computers like humans, using visual and multimodal input to enable reliable collaboration and close the perception-action loop, highlighting new open-source tools for annotation and verification.

Jul 23, 2026

AI on Your Lakehouse: Context Comes in Shapes, Not Queries — Zach Blumenfeld, Neo4j

AI agents often struggle with context in lakehouses, leading to confident but incorrect answers. This workshop by Zach Blumenfeld introduces three Neo4j graph shapes built on lakehouse data—Connections (semantic layer), Trees (document outlines), and Communities (themes)—to provide essential context, enabling agents to accurately navigate structured and unstructured data, answer complex estate-level questions, and overcome limitations of traditional Text2SQL and vector search.

Jul 23, 2026

How Supabase Became One Of The Fastest Growing DevTool Companies In The World

Supabase CEO Paul Copplestone details how a frustrating Firebase migration sparked an open-source side project that grew into a decacorn. He explains the strategic choice of PostgreSQL and open source, the evolution of developer experience to achieve 5-second time-to-value, and the transformative impact of AI agents, which now launch millions of Supabase databases monthly. The conversation also covers the challenges and advantages of a fully distributed workforce and the future bet on 'self-driving databases' to address the complex 'operate' stage of AI-driven development.