Key Takeaways
- May affect how AI can be used.
- as VP of Engineering in February 2024, S.MPLE was already showing promise.
What It Means
Context
as VP of Engineering in February 2024, S.MPLE was already showing promise. 200 real estate agents were piloting the AI product, which was designed to save time by automating cumbersome and repetitive daily tasks, like market analysis and contact management.S.MPLE was a Next.js progressive web app deployed on Vercel, and that foundation gave the team leverage. They could keep the API layer steady while expanding the client experience, including expansion to a React Native iOS app, all without a backend rebuild.But Bunting had a problem that keeps many engineering leaders up at night: the AI landscape changes faster than most teams can implement infrastructure updates. The team needed to move fast, scale confidently, and stay flexible enough to swap models, add new capabilities, and adapt to the rapidly changing AI landscape. Traditional approaches meant choosing between velocity and flexibility, but Bunting wanted both.AI SDK: Moving fast without vendor lock-inAs S.MPLE shifted from "one model” experiments to a production AI product, Bunting's team started evaluating Vercel's AI SDK, and he initially had concerns. "I asked, how much is this going to tie us in directly to Vercel?"…
For builders
as VP of Engineering in February 2024, S.MPLE was already showing promise.
For Builders
as VP of Engineering in February 2024, S.MPLE was already showing promise.