One of the common criticisms I hear about AI for coding is that the tools are good for hobbyists, but they aren’t up to the task of real commercial work in high-stakes situations.

While I agree with the sentiment behind those statements, if we look at the real world today, we see something very different:

Boris Cherny, responsible for actually creating Claude Code within Anthropic, said in a recent video:

“It’s writing almost all [of the internal code at Anthropic]… for me personally it’s been writing 100% of my code for at least 6 months. The work of engineering has just completely changed. I feel like I suddenly have superpowers… engineering has never been this fun.”

At Spotify, one of the world’s most beloved apps, their own internal report says that “Today, more than 99% of our engineers use AI coding tools every week, 94% report that AI has made them more productive, and we’re seeing a 76% increase in pull request frequency, with the vast majority of PRs authored by a developer working alongside an AI agent.”

And on a personal level, in addition to being amazed daily at what I can code with these tools, having made dozens of personal apps and two major apps that power my entire business and team of 10+, I also see that the engineers whom I respect the most in this world, including one who literally wrote dozens of books on how to code over the last 30 years, now don’t write so much as a line of code by hand anymore. And yet their genius isn’t diminished but enhanced.

It’s clear to me that these tools are not just novelties and gimmicks used to create AI slop (although there is plenty of that going around), but in the right hands, they are literal magic for seasoned developers everywhere.

If you’re a business owner wondering how/where to use these tools in your own operations, my suggestion is to stop doomscrolling and listening to what these tools can’t do, and start looking at the extremely talented people who know how to code legitimately, and study what they’re doing.