Wes and Scott talk with Kyle Cesmat about how Coinbase is writing nearly half its code with AI—while keeping quality and security front and center. They dig into tools like Cursor and Claude Code, agent-driven workflows, code review challenges, and how AI is reshaping developer productivity without replacing developers. Show Notes 00:00 Welcome to Syntax! 03:29 Defining and measuring “quality” at a large company 05:05 How AI-generated code is reviewed and shipped at Coinbase 07:35 A developer’s workflow using AI—from ticket to production 10:30 Standard vs. team-specific tools for AI development 12:55 Using MCP servers to power internal AI workflows 14:42 MCP vs. custom agent integrations 17:16 What kinds of code AI is writing at Coinbase 19:48 Which languages and tasks does AI handle best? 21:21 Getting AI to follow existing code conventions greptile 24:36 Brought to you by Sentry.io 25:01 How AI affects hiring, velocity, and developer focus 28:16 AI’s role in speeding up code reviews 31:28 The most valuable AI tool in Coinbase’s stack 33:48 Managing AI costs and model choices 35:10 Security considerations for using external AI models 37:04 How often Coinbase tunes and adjusts its AI systems 39:26 Using AI to write code vs. embedding AI in customer-facing features 42:29 Kyle’s big-picture take on AI as a tool—not a magic bullet Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity 44:33 The future of hiring engineers with their own “backpack” of agents 45:53 Sick Picks + Shameless Plugs Sick Picks Kyle: UltraShelf Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads