About this episode

Lindsey Simon discusses how Vercel is leveraging AI to automate web deployment processes.

Vercel 's VP of Engineering Lindsey Simon unpacks how AI is transforming web deployment — from self-driving infrastructure and automatic rollbacks to prompt-to-app magic and what coding will look like by 2027. Topics Include: Vercel turns a simple git push into a live URL, fast Customers range from solo indie devs to major enterprises globally Under Armour, Reuters, and Polymarket all run on Vercel's platform AI agents can detect failed deployments and automatically suggest fixes Vercel calls this approach "self-driving infrastructure" — a post-AI evolution The AI SDK lets developers write model-agnostic code across any provider V0 lets anyone generate a full app just by typing a prompt The AI Gateway provides intelligent model fallbacks and cost efficiency Vitamins vs. painkillers: Vercel only builds what customers genuinely need AI works best when code has structure, types, and tests already in place AWS Bedrock helped Vercel scale V0 when it went unexpectedly viral Vercel's AI philosophy: "let it rip" — with smart guardrails around data Weekly "Demo Days" put every engineer in front of 200 colleagues to present Design is a company-wide discipline, from product UI to office…

People in this episode

Guest: Lindsey Simon

Topics covered

• AI in web deployment
• self-driving infrastructure
• automation
• Vercel platform
• software development
• cloud services

Keywords

• web deployment
• AI agents
• automatic rollbacks
• git push
• model-agnostic code
• intelligent model fallbacks
• Demo Days
• AWS integration

Mentioned in this episode

Organizations: Vercel, Under Armour, Reuters, Polymarket, AWS

Products: AWS Bedrock, Aurora, DynamoDB, V0

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