The ability to develop crisp mental models around the problems you want to solve and understanding the why before you start working on the how is an increasingly critical skill, especially in the age of AI. Coding is one of the things AI does best and its capabilities are quickly improving. However, there’s a catch: Code created by an AI can be syntactically and semantically correct but not functionally correct. In other words, it can work well, but not do what you want it to do. Having a crisp mental model around a problem, being able to break it down into steps that are tractable, perfect first-principle thinking, sometimes being prepared (and able to) debate a stubborn AI — these are the skills that will make a great engineer in the future, and likely the same consideration applies to many job categories.

Denis Bolkovskis

Anthropic

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Studying philosophy can enhance engineering code by improving mental models and problem-solving skills. Prompt engineering is a technique for guiding AI to produce desired results. Generative AI flattens barriers to knowledge and provides personalized instruction.

Why Engineers Should Study Philosophy

This is the best article I’ve read so far. I’m going to share it on LinkedIn. I’m glad I’m not the only person who think this way.
Thanks for the insights!

Great perspective from the author 👍

help me understand how philosophy and prompt-engineering is related. i read but by the end i felt like topic is diverted to something unrelated. or may be i didn’t understood well.

At the very basis math and philosophy come down to the language of logic. Great read.