Today, many prompts are more valuable than code. Prompts remain relatively
stable, while the quality of code generated improves with model enhancements.
There should be something akin to a "git commit history" for prompts, allowing
us to study their iterations and understand which prompts better activate the
model's abilities.
Good prompts can unlock the model's inherent intelligence, enabling the
generation of higher-quality code. I'm curious whether, in the future, as models
become more empathetic, they might reduce the importance of a user's
prompt-crafting skills.