How I AI

How Coinbase scaled AI to 1,000+ engineers | Chintan Turakhia

180 snips
Mar 2, 2026
Chintan Turakhia, Senior Director of Engineering at Coinbase who led AI adoption for 1,000+ engineers, talks about scaling AI across a large org. He describes rewriting a product under tight deadlines, the PR “speed run” that generated rapid momentum, building internal AI agents and analytics to identify power users, and turning feedback into automated ticket pipelines.
Ask episode
AI Snips
Chapters
Transcript
Episode notes
INSIGHT

AI As An Organizational Accelerant

  • Chintan treats AI as an accelerant that makes teams 'adapt or die' and unlocks massive efficiency across a 1,000+ engineer org.
  • He personally used Cursor daily to prototype flows, proving value by showing engineers concrete gains instead of mandating use.
ADVICE

Show Engineers Not Tell Them

  • Do lead by example: pick one leader who is hands-on with AI and demonstrate workflows rather than decree them.
  • Chintan advocates showing engineers real, repeatable use cases (unit tests, linting) to convert skeptics.
ANECDOTE

PR Speed Run That Broke GitHub

  • Chintan ran a live "Cursor speed run": 100 engineers joined and created ~70 PRs in 15 minutes, which broke GitHub and validated viral adoption.
  • The event turned skepticism into excitement and showed quick wins by removing small toil tasks like git commands.
Get the Snipd Podcast app to discover more snips from this episode
Get the app