Mmastodon TechnologySoftware first seen 10 h ago, last 10 h ago, peak #12
Why hardcoding your first AI provider eventually stops working
Original: On my first AI feature I called one provider straight from the code that needed it. It worked, and for a while that was
A developer is recounting how their first AI feature called a single provider directly from the code that needed it, which worked fine at first. The problem came when they wanted a cheaper model for simple tasks like tagging and short summaries, and found the provider's keys and calls scattered throughout the codebase. The lesson being shared is that a thin abstraction layer pays off once you add multiple models.
Why now: Developers are debating architecture lessons as teams move from one AI provider to multi-model setups.
Evidence
- On my first AI feature I called one provider straight from the code that needed it. It worked, and for a while that was the right call. Then I wanted a cheaper model for the boring tasks, like tagging and short summaries. That's when I noticed the provider was everywhere: keys… · hackaday@www.urbanmind.net · 3
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