Egor Slyusarchuk

For years, "learn to code" was a golden rule for career growth. But with AI assistants writing entire functions, debugging code, and even generating full applications, is traditional coding knowledge still essential?

Will the future of development be prompt engineering rather than coding?

Will AI make deep knowledge of algorithms and system design more important, while reducing the need for syntax memorization?

If AI does the coding, what skills will become most valuable for future developers?

I am noticing two contradictories:

The growth of MVP services
The growth of AI tools that help you generate the code
What's the point of MVP services when the majority of people (with a very little knowledge about the code) can use AI to create their first MVP?
Yeah, you can now argument that some solutions are technologically more difficult and that's the point where the MVP service provider can step in, but anyway...

Each model is becoming more "skilled".

Most startups start with this mindset: "I have an idea for an app / software / business. It helps users achieve ****. It's gonna be the next big thing."

This is wrong, as:

1. it assumes that you already know what users want (no one exactly does). 2. It doesn't consider that users are not patiently waiting for your app/software and may be already using something similar.