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This happened about 2 weeks ago. I co-founded this small AI startup with my friend, and we got a bit carried away with customer requests.
Every time someone asked "Can you add support for [new AI model]?", we'd say yes without thinking twice. Started simple enough - just OpenAI's stuff. Then Anthropic. Then Cohere. Then Mistral. Before we knew it, we were juggling 10 different APIs, each with their own quirks. You know how it goes - you start with a clean codebase and end up with: if model == "OpenAI" {doThisStuff()} else if model == "Anthropic" {doThatStuff()} // repeat 8 more times...
I realized how bad it had gotten when I spent an entire afternoon just updating API keys because half of them had hit their usage limits. Meanwhile, my co-founder was asking why our latest feature was taking so long, and I had to explain that I couldn't even test it because I was stuck juggling all these different API formats.
The real "oh shit" moment came when a customer reported their analytics weren't showing up. Spent hours debugging only to realize I was reading the wrong company's docs the whole time. They all started blurring together after a while. My co-founder walked by my desk, looked at my screen full of if-else statements, and just said "Dude, what have you done?"
We're cleaning it up now (one interface to rule them all), but man, lesson learned: sometimes saying "no" to feature requests is the right move.
TL;DR: Said yes to supporting too many AI models at once, turned our codebase into spaghetti, and spent two weeks untangling the mess.
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