Chintan details how Coinbase rebuilt its self-custody wallet into a social consumer app in under nine months using AI as a force multiplier—not a replacement. Early tooling failures with GitHub Copilot and early Cursor versions gave way to disciplined, leader-led adoption: engineering leaders returned to coding to model, troubleshoot, and co-create workflows. The 'PR speed run'—100 engineers shipping 70 PRs in 15 minutes—exposed infrastructure limits while proving AI’s power to slash coordination overhead. Metrics shifted meaningfully: PR review time dropped from 150 to 15 hours, and feedback-to-OTA cycles shrank dramatically. Using Cursor analytics, the team identified and scaled power-user behaviors through cohort analysis, Slack-integrated bots, and custom agents—automating Linear ticket creation, transcribing live user feedback, and summarizing meetings into actionable code. Crucially, AI was embedded where engineers already worked—Slack and Linear—minimizing friction. Chintan stresses hiring 'super-builders', measuring adoption behaviorally (not just usage), and treating AI as an accelerant for human judgment, creativity, and speed.