Token spend

Token Maxxing Is Over and Here Is What Comes Next

Token Maxxing Is Over and Here Is What Comes Next

Pepijn Senders, a principal engineer and former AI enablement lead at HelloFresh, explains how his team rebuilt a banking platform in six months with about 800,000 lines of code, mostly written by Sonnet, and why choosing a model that keeps developers involved matters more than raw autonomy. He covers measuring AI ROI through token spend versus output, keeping humans in control of code, the risks of agent recommendations, team refinement sessions, prompt word effects, and a meta harness built on Claude Code.

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.