Show Dev: Here's how we made AI 2x faster at integrating APIs

We ran an experiment with our team: Each of us asked Cursor to integrate the PayPal API into an e-commerce app multiple times. Here are the results across all of our attempts: 13% of the attempts pulled in a deprecated PayPal SDK 87% of the attempts generated API calls based on deprecated PayPal documentation 0% of the attempts used the current, official PayPal Server SDK Here's the interesting part, PayPal provides official API docs and SDKs for their APIs. The AI just never used them. Instead, it cobbled together code from blog posts, Stack Overflow answers, and stale training data (since PayPal is such a well-known API). This isn't just a PayPal problem. There are millions of APIs out there. Their docs change. SDKs evolve. New API versions come out. When an AI assistant tries to integrate an API using Web Search or model memory alone, mistakes are almost inevitable. Developers end up spending more time debugging AI output than they saved by using AI in the first place. How we solved