Oct 24, 2026

AI Writes the Code. So What's Left for Engineers? - Laurie Voss, Arize AI

Laurie Voss, head of developer relations at Arize AI and co-founder of npm, argues that coding agents have made writing code nearly free, so the bottleneck keeps moving first to code review, then to operations and security. What agents can't take over is discovering what people actually need and defining what 'good' means. He introduces the product engineer as the role that remains, examines the collapse in junior engineering hiring, and offers practical advice for engineering leaders.

Oct 21, 2026

The Agentic Automation Revolution • Don Syme • Bug Bash EU 2026

Don Syme, designer of F# and GitHub Next engineer, explains how AI agents are moving from individual productivity tools toward continuous, collaborative automation inside repositories. He introduces continuous AI and agentic ops, GitHub Agentic Workflows with their guardrails, and the factory and farm metaphors for managing software production.

Oct 21, 2026

AI in NYC: How Tenex Builds an AI-Native Engineering Team — Alex Lieberman & CJ Hess

Alex Lieberman and CJ Hess of Tenex discuss how an AI-native engineering consultancy organizes its work around outcomes, not hours. They cover story-point compensation, the MetaHarness workflow that keeps plans and decisions in Git, token economics and model choices, the gap between enterprise AI rollouts and production agents, why vertical AI and mid-tier SaaS may or may not survive, and what this means for jobs and New York's AI scene.

Oct 20, 2026

What Survives When AI Can Build Anything? (with Dr. Richard Socher)

Richard Socher, CEO of Recursive and author of The Eureka Machine, makes the case for automating the scientific method with recursively self-improving AI. He covers how AI keeps replacing hand-crafted expertise with scale, the four pillars of his approach, why hallucinations can aid discovery, why RSI still rules out an overnight takeoff, and how science may become an engineering discipline across physics, biology, and economics.

Oct 19, 2026

Smarter Models Killed the Harness. Here's What's Left — Jediah Katz, SpaceXAI

Jedidiah Katz, longtime agent-harness engineer at Cursor and now at SpaceX, argues that fancy harnesses no longer add coding intelligence because models absorb those skills through a data flywheel. He contends the harness matters more than ever: it unlocks new frontiers like Grokbot and owns infrastructure, trust and security, and efficiency. He closes with predictions, including that 90% of agent work will run off the laptop within six months.

Oct 16, 2026

High Taste Testers: OpenAI Shipped Everything. What Actually Works?

A roundtable of AI power users reviews OpenAI DevDay and asks what actually works in daily use. Topics include personal assistants and their trust, permission, and safety trade-offs; durable agent state and remote execution; the Jev decision model and calibrated classification; model preferences across Anthropic, OpenAI, xAI, Meta, and open models; subagents and context management; and the gap between impressive capabilities and products that hold up.