How Coinbase scaled AI to 1,000+ engineers | Chintan Turakhia
Chintan Turakhia is Senior Director of Engineering at Coinbase, where he’s led the transformation of a 1,000-plus-engineer organization to embrace AI tools at scale. When tasked with rewriting Coinbase’s self-custody wallet into a consumer social app in just six to nine months, Chintan turned to AI as a force multiplier. His team has achieved remarkable efficiency gains, including reducing PR review times from 150 hours to just 15 hours, and dramatically compressing the cycle from user feedback to shipped features.
What you’ll learn:
How to drive AI adoption in large, established engineering organizationsThe “speed run” technique that got 100 engineers to push 70 PRs in 15 minutesHow to identify and replicate the behaviors of AI power usersWhy engineering leaders must get hands-on with AI tools to drive adoptionHow to build custom AI agents that integrate with your existing workflowsThe metrics that actually matter when measuring AI’s impact on engineering velocityHow to compress the cycle from user feedback to shipped features—
Brought to you by:
WorkOS—Make your app enterprise-ready today
Rovo—AI that knows your business
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In this episode, we cover:
(00:00) Introduction to Chintan
(02:38) How Coinbase approached rewriting their app with AI assistance
(08:00) The importance of leadership conviction and hands-on demonstration
(10:30) The “PR speed run” technique that transformed team adoption
(17:57) Measuring success
(19:20) Demo: Real-time feedback-to-feature implementation
(23:14) Using Cursor to analyze AI adoption patterns
(33:15) Quick recap and appreciation
(36:00) Demo: Building a live feedback capture system using AI transcription
(40:50) Using custom Slack bots to automate engineering workflows
(47:10) Advice for driving AI adoption within your organization
(50:00) Personal use case: AI for wine selection based on taste preferences
(55:23) Lightning round and final thoughts
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Tools referenced:
• Cursor: https://cursor.sh/
• Linear: https://linear.app/
• Slack: https://slack.com/
• ChatGPT: https://chat.openai.com/
• Claude: https://claude.ai/
• GitHub Copilot: https://github.com/features/copilot
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Other references:
• Coinbase: https://www.coinbase.com/
• React Native: https://www.lennysnewsletter.com/p/how-custom-gpts-can-make-you-a-better-manager
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Where to find Chintan Turakhia:
LinkedIn: https://www.linkedin.com/in/chintanturakhia/
X: https://x.com/chintanturakhia
Base App (formerly Coinbase Wallet): https://base.app/
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Where to find Claire Vo:
ChatPRD: https://www.chatprd.ai/
Website: https://clairevo.com/
LinkedIn: https://www.linkedin.com/in/clairevo/
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Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email [email protected].
How I AI
How I AI, hosted by Claire Vo, is for anyone wondering how to actually use these magical new tools to improve the quality and efficiency of their work. In each episode, guests will share a specific, practical, and impactful way they’ve learned to use AI in their work or life. Expect 30-minute episodes, live screen sharing, and tips/tricks/workflows you can copy immediately. If you want to demystify AI and learn the skills you need to thrive in this new world, this podcast is for you.
- Número de episodios: 66
- Último episodio: 2026-04-13
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