Every founder wants an “AI developer.” But that term can mean many things. Are you looking for someone to build large language models (LLMs) in Python? Or someone skilled at leveraging AI tools to boost velocity and reduce bugs?
Most companies need the second. But they don’t always know how to ask for it. That’s why AI fluency, or how well a developer can navigate and leverage a wide range of AI tools, is becoming as critical as knowing a specific language or framework.
The tooling will keep changing. But the meta-skill of learning how to use new AI assistants, evaluate their output, and incorporate that into your workflow? That’s the durable advantage.