I gotta say, wiring DeepSeek Into Your NestJS Stack: A Backend Walkthrough
Last quarter I got pulled into a sprint that had nothing to do with LLMs. The product team wanted "AI summaries" on a dashboard I'd already shipped months ago, and the manager who'd blocked the feature left for a competitor. So there I was, the unfortunate backend engineer holding the bag at 2pm on a Tuesday, staring at a Jira ticket that said "add AI" like that meant anything.
I tried the usual suspects. I burned an afternoon reading pricing pages until my eyes glazed over. Then I stumbled onto Global API and their unified access to 184 models, with prices ranging from $0.01 to $3.50 per million tokens. I ended up routing everything through DeepSeek for the heavy lifting, and I haven't looked back since. Fwiw, this is the kind of integration that should take a week but can realistically be done in a single afternoon if you know where to cut corners.
Here's how I wired DeepSeek into a NestJS backend without losing my mind, and the numbers that convinced me to keep it there.
Why DeepSeek, And Why Bother Comparing Anything
