Hey everyone! đź‘‹
I recently used an AI assistant to write a function. The source code looked perfectly clean and passed all my unit tests. But the moment it was deployed, it spiked my CPU to 100%.
The issue: AI models are great with syntax, but they are hardware-blind. They don't understand how the compiler translates code into binary/assembly, leading to unexpected cache misses and instruction bloat on the actual silicon.
Looking for guidance: How do we catch these hardware-level regressions in CI/CD before deploying? Does anyone know of a tool or workflow—perhaps something that analyzes compiled binaries or uses an assembly-aware model—to flag these performance issues?
I'd love some pointers if you've solved this!
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