Chain of Thought — Episodes
Articles about Chain of Thought — Episodes
Switching Models Shouldn’t Mean Starting Over | Walrus Protocol’s Kimberly Logan
If your agent's memory lives inside one model provider, switching models or harnesses means starting over. You need portable memory - yet when switching agent memory between models, you can swing accuracy by thirteen points or more, depending on which model reads them back. This episode is sponsored by Walrus.
Your Best AI Engineer Might Have the Worst Metrics | Sonar CTO Andrea Malagodi
Andrea Malagodi, CTO at Sonar, found one engineer with more than 500 PRs at a low cost per PR and another with high spend and few PRs. The two were doing very different work, and Malagodi explains why cost-per-PR dashboards miss that context.
Why Context Alone Isn't Enough for Enterprise AI Agents | WisdomAI CPO Kapil Chhabra
AI agents need your company’s definitions, rules and business context to make sense of its data. WisdomAI co-founder and CPO Kapil Chhabra explains how teams maintain that context as the business changes, who owns it, and why agents also need a harness that checks and repairs their answers.
AI Codes: Product Engineers Decide What to Build | Laurie Voss
npm co-founder Laurie Voss, now head of developer relations at Arize, argues that as agents take over typing code, product judgment and domain knowledge become the job. He explains why AI is the web in 1997, how the bubble pops, and why the missing junior ladder is the question of our time.
Genspark's Bet: AI Agents Become the Users of Software
Genspark co-founder and COO Wen Sang on taking the company from launch to $250 million in ARR in about a year, why a meeting note should be the start of work rather than the end of it, and the bet that AI agents, not people, become the users of software.