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Learn how Vercel's "self-driving infrastructure" vision pairs with AWS databases to eliminate backend friction, securely cutting Aurora Serverless creation time from minutes to seconds.
Topics Include:
- Hedieh Zandi (Vercel) and Manbeen Kohli (AWS) introduce prompt-to-production session
- Vercel powers 18 million developers, maintains Next.js and AI SDK
- Vercel's agentic infrastructure runs on AWS Lambda, CloudFront, and S3
- AI now generates frontend, APIs, and workflows for small teams
- Backend friction remains: credentials, provisioning, database configuration still hard
- Vercel envisions "self-driving infrastructure" that adapts automatically to apps
- New AWS partnership brings native Aurora DSQL and Postgres integration
- Manbeen explains databases now built into Vercel Marketplace and v0
- Aurora Serverless database creation sped up from minutes to seconds
- Aurora Postgres, DynamoDB, and DSQL scale prototypes without rewrites
- Pre-configured templates help builders start RAG or shopping AI apps
- Database security uses OIDC and IAM tokens, no stored passwords
- AWS chosen for agents: low latency, autonomy, one-click simplicity
- skills.sh gives agents reusable instructions, mirrors AWS Kiro's "powers"
- v0 lets users build full-stack apps using natural language prompts
- v0 uses Bedrock models and deploys directly on Vercel infrastructure
- Live demo: v0 builds restaurant app, provisions database, adds Stripe checkout
- Demo ends at AWS console; Rauch quote and hackathon close session
Participants:
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