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Learning Programming in an Age of LLMs

19 pointsby 1h agoblog.ploeh.dk
6 comments
17m agoHN ↗

IMHO I think that it could be better if the question about how to learn programming in the age of LMMs is asked to someone that is learning now by using LLMs. Someone that knows programming from thirty years ago perhaps can gives you only one side of the coin, and someone learning today using LLMs from scratch could give you good advice about what are the real difficulties and the main drawbacks. Both views should add more value.

7m agoHN ↗

Difficulty is too many technologies available. So a beginner needs something/someone that teaches principles.

I have realized that simplier (boring) is better. E.g. simple html5 css combo is better instead of trying to navigate in JS frameworks.

11m agoHN ↗

I'm the author of Python Crash Course, and I got this exact same email this week. I was thinking of writing a public response as well, because any attempt to sincerely answer these questions takes something along the lines of a full post. It's also worth a public response because many people who are getting into programming for the first time right now are asking variations of these same questions.

Do I think that AI enables people to develop faster than they can keep up?

Absolutely. That's the core of this person's email, and everyone else who asks similar questions. Just five years ago, the only way to build a working project of moderate complexity was to learn the basic to intermediate concepts required to make an MVP. Now, if you can steer an LLM reasonably well, you can quickly build an MVP that goes well beyond your own understanding of the implementation.

I don't think anyone has clear answers to all the questions brought up in this email. I think people can learn faster than they used to, because they can make connections between different areas faster than they used to. But it requires skill and discipline in how you learn, and how you work. You have to intentionally build your understanding as you build your projects.

10m agoHN ↗

I think bill gates summarized it pretty well in a recent letter [1]. There are pro's and con's to every new technology. Learning can be greatly accelerated with the use of llm's but you have to use them the right way. Just like calculators help further down the line, they do not help you when you are still trying to learn the basic concepts of arithmetic. I personally think I have found a way of working with llms that really accelerates getting stuff done while i am still able to learn. It means reading more, and (although I hate this in part) reading generated text. What is infuriating is when I suspect people writing to me with generated text, it is insulting and should be banned. Makes me want to spend more time offline (probably a good thing in my case).

[1]https://www.gatesnotes.com/home/home-page-topic/reader/a-tur...

4m agoHN ↗

I'm sure people said the same thing about fire, some 100s of 1000s of years ago.

7m agoHN ↗

I said this in different ways before and got shoveled because of the way I said it:

None of us know how to farm, not even the chefs who cook for us at a restaurant or fast food joint, but we eat every day and nobody's going around making people feel guilty about not knowing how to till soil and sow seeds..

In programming and other creativity, most people's skills will [have to] change/evolve into managing, directing, dictating, knowing what you want, describing it, and focusing on the end product and iterating,

instead of wrestling with why the f is a string a pointer to a pointer to a character

just like we don't track the phases of the moon and seasonal rainfall before we can have a nice salad to eat.