Microsoft recently https://devblogs.microsoft.com/semantic-kernel/hello-world/ a product called https://github.com/microsoft/semantic-kernel, a lightweight software development kit (SDK) allowing developers to integrate AI technology into their applications. In his announcement post, Maeda wrote that SK “lets you mix conventional programming languages, like C# and Python, with the latest in Large Language Model (LLM) AI “prompts” with prompt templating, chaining, and planning capabilities.”

I began by asking what kind of skill sets developers will need to learn to become good at these “prompts”?

Sematic Kernel is basically a low-code tool that lets developers, as Maeda put it, “craft complex chains of LLM AI prompts that are both configurable and testable.”

That said, to be a productive ‘prompt engineer’ still requires you to have the ability to think like an engineer.

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