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

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.

Inside the Team That Killed Mandatory Code Review — Quinn Slack, AMP

Inside the Team That Killed Mandatory Code Review — Quinn Slack, AMP

Quinn from AMP discusses a paradigm shift towards cloud-native AI agents and remote development, advocating for the end of local development and traditional code review. He details how AMP's 'Orbs' enable parallel, secure, and remote execution, and how agents are transforming internal tools ('jellyware'), diminishing the role of GitHub and traditional CI/CD, and fostering a lean, high-trust company structure.

How Agents Changed Vibe Coding Forever

How Agents Changed Vibe Coding Forever

Sourcegraph CTO Beyang Liu discusses the evolution from chat-based coding assistants to autonomous AI agents like AMP. He explains how new models with tool-use and reasoning capabilities are creating a paradigm shift, moving developers from micromanaging AI to instructing it at a high level, dramatically increasing productivity by automating complex coding tasks.