Nicholas Arcolano of Jellyfish uses data from about 50,000 engineers across 447 companies to test what really drives AI coding output. A natural experiment forcing users onto Grok barely moved merged PRs. The analysis breaks throughput into tool, skill use, token consumption, company and team, and individual engineer, finding the individual and organization matter far more than the model.
A deep dive into building expert AI systems using a Wisdom-Driven Knowledge Graph. This approach enhances Knowledge-Augmented Generation (KAG) to surpass traditional Retrieval-Augmented Generation (RAG) by enabling systems to understand, reason, and provide expert-level quantitative analysis and advice.
VCs Dani Grant and Chelcie Taylor provide a tactical playbook for AI engineers on raising their first round of funding. They cover when to raise, how to write effective cold emails, what to focus on in a pitch (vision over tech), how to answer key questions about competitors and go-to-market, and the dynamics of a successful investor meeting.