For the last three years, "Prompt Engineer" has been the fastest-growing job title on LinkedIn. It was a necessary role: models were finicky, unaligned, and required strange incantations to work properly.
But relying on manual prompt engineering is like relying on manual memory management in C++. It works, it's powerful, but it's not how you scale software development.
Long Live Prompt Optimization
The future isn't writing perfect prompts yourself; it's defining the intent and constraints, and letting software write the prompt. "Optimization" is the shift from "How do I trick the model into doing this?" to "How do I describe this task so perfectly that any model can do it?"
We are building Cosavu to be the compiler for this new age. You write the high-level code (intent), and we compile it down to the machine code (optimized prompts) for specific architectures (GPT-4, Claude 3.5, Gemini 1.5).
Stop tweaking strings. Start building systems.