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It must be said, preferably in bold, that:

> this pervasive sense that "the way to do things now" is seemingly inseparable from a credit card number and monthly charge

…is true, but it only applies to experienced engineers who can sculpt the whole solution using these tools, not just random code. You need the whole learning effort to be able to ground the code the slop generators make. The passion absolutely helps here.

Note this is valid today. I have concerns that I’ll have different advice in 2027…



in 2027 a lot programming will simply be a question of who has the largest LLM budget.

I wonder what it means for the open source...


In 2028, the question will be who spent more money on lawsuits, and who spent more money on consultants to clean up their code base.

Jokes aside, code tools are best used in the hands of someone who is already trained and can verify bad code, and bad patterns at a glance.

AI code passes many tests. So does a lot of code written by us, for ourselves. When the code gets in front of users, especially the kind of genius users who learn how to fly by forgetting how to fall, then we learn many good habits.


In 2027 we'll have LLMs downloaded to our devices that are as good as Claude Code is today. (But as I have seen, as the leading edge of this stuff is always cooler than what you can run locally, we'll not be satisfied then with today's Claude Code.)




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