Why Constraints Make Agents Better

Outgrowing the Vibe Code · Jul 2, 2026 · 11m

Here's the counterintuitive truth: giving an AI agent fewer choices makes it perform better. Vercel ran the experiment — 15 tools, 80% accuracy; 2 tools, 100% accuracy. Ada and Boris dig into why: every decision an agent makes costs tokens, and when the harness narrows the decision space, the agent spends its reasoning on the actual problem instead of navigating the meta-problem of how to approach it. The episode covers what this means practically — stop waiting for the next model, invest in the harness you have, and reframe every frustration as a harness problem — plus the "build for…