I’ll be honest: integrating a new API usually starts with a solid hour of clicking through documentation, opening endless tabs, and Ctrl+F-ing for keywords that may or may not be there. Last month, I was working with the Stripe API to build a custom subscription flow. The docs are excellent—but they’re also massive. I needed to find how to handle proration on mid-cycle plan upgrades. I knew it existed somewhere, but after ten minutes of scrolling I was nowhere closer.
The problem: keyword search breaks when you don’t know the right words
My first instinct was to use the browser’s built-in search. I typed “proration,” “upgrade,” “mid-cycle”—nothing gave me the right page. I tried Google with site:stripe.com/docs proration upgrade—still noisy. I ended up opening four different pages on invoice behavior, subscription items, and billing cycles. My brain was doing the real work of connecting disparate sections, but the tools weren’t helping.
What I tried (and why it didn’t work)
I considered writing a scraper to dump all the docs into a text file and grep through it. That would have worked for exact matches but not for conceptual queries like “how does proration affect pending invoice items?”—which is a question you’d ask a colleague, not a search engine.
