Using AI Generated Code Will Make You a Bad Programmer
Relying on AI-generated code can hinder personal growth and skill retention in programming, leading to dependency, legal ambiguities, and potential disrespect in the community, while emphasizing coding as an art form.
Read original articleThe article discusses the drawbacks of relying on AI-generated code for programming, arguing that it can hinder personal development and skill retention. The author compares programmers who depend on AI to "script kiddies," suggesting that they miss out on essential learning experiences. Skills may atrophy over time if programmers do not engage in writing code themselves, leading to a dependency on AI tools that could ultimately replace them. The piece raises concerns about the ownership of AI-generated code and the potential lack of respect for developers who do not write their own code. While acknowledging that AI tools can improve efficiency, the author emphasizes the importance of taking pride in one's work and the artistry involved in coding. The article concludes by questioning the motivations of those who prefer to use AI for coding tasks, suggesting that it may reflect a lack of genuine interest in programming.
- Relying on AI-generated code can impede personal growth and skill development in programming.
- Programmers may become dependent on AI tools, risking their relevance in the job market.
- There are legal ambiguities regarding the ownership of AI-generated code.
- Using AI tools may lead to a lack of respect from peers in the programming community.
- The article advocates for taking pride in coding as an art form rather than relying on AI for code generation.
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The thing that bothers me is that your colleagues will use AI, your bosses will see it as progress, yet not realise the time saved now is going to be wasted down the road
If it wasn't for that, I'd switch to Cursor or use copilot in a instant, because honestly, I've asked some ai tools like Claude for help a couple of times, and those has been for tasks that I know more than one would need to be involved in to complete that, but with Claude, I solved it in a couple of hours, incredible stuff!
Also, if it wasn't obvious, I am not claiming that this is the case, these are just my feelings, I would love to be convinced otherwise because then I might switch and try out the luxury QoF others are having.
1. Having it perform mechanical refactorings where there's no creativity involved. I'm hacking on a program that was written in the early 2000s. It predates language support for formatted IO. I had ChatGPT replace many manual string concatenations with the equivalent of sprintf. It's easy enough to test the replacements at the REPL.
2. Questions that would be unreasonable or impossibly tedious to ask a person.
Describe in detail the changes from language version X to language version Y.
Which functions in this module can be replaced by library functions or made tail recursive? This definitely misses things, but it's a good starting point for refactoring.
Is there a standard library equivalent of this function? I regularly ask it this, and have replaced a number of utility functions.
Give examples for using function.
In a learning context, sure, you probably should not be using copilot or similar, the same way you shouldn't be using a calculator when doing your basic arithmetic homework.
Beyond that, this just seems like a classic scrub mentality hangup. If a tool is useful, you should use it where appropriate. You'd be a fool not to. If it's not useful, then don't use it.
Buckle up, LLMs are here to stay and will likely continue improving for a while before they plateau.
If you're going to be eventually replaced, and I absolutely believe that even the best of us will, you may as well get in on the ground floor to extract value for a bit before that happens.
Not writing your own code doesn't need to mean turning your brain off. You still need to look at what came out, understand it, and spot where it didn't match your needs.
But in all seriousness, these models are getting to the point where they're really useful for me to just build one-off tools for my own use or to prototype things to show other people what I'm looking for (like an interactive mockup). That's the power of turning a non-programmer into a bad programmer, and it's certainly worth something!
My experience has been quite the opposite: it speeds up my rate of work as I get answers faster, and thus gives me more learning opportunities in a workday.
More specifically, I think code quality is a luxury that not everyone has if you work for dumb corpos who think that moving the gantt chart block left will speed up development.
The answer there is probably don't work for those people, but salaries cap out at some point and the allure of megacorps is there.
I'm a CS old head, who has manually allocated / managed memory, and built what would be considered stupid data structures to support scientific efforts.
For me, using AI and getting 0 to 1 experience in languages/frameworks I don't know is ultra. Combining those skills has made me some money in shipping small software, which has been fun.
1) I do not believe AI will ever replace programming as a practice, because people will still need to read/review the code (and no, I don't personally believe LLM's are going to be able to do that themselves in the vast majority of cases)
2) while the "script kiddie" characterization is a bit of an unfair generalization, there is some truth to this. I disagree that using AI to generate code puts you in that realm automatically, but I have seen quite a few cases of this actually happening to give this point some merit.
3) Using AI generated code atrophies your skills no less than using someone's imported library/module/whatever. Yes, I probably couldn't write a really good merge sort in C off the top of my head anymore without thinking through it, but I don't really have to, because a bazillion people before me have solved that problem and created abstractions over it that I can use. It is not inherently bad to use other people's code, the entire software world is built on that principle. In fact, it's an extremely junior mindset (in my view) that all code you use must be written by your own hand.
4) "code being respected" is not really a metric I'd ever go for, and I'm not sure in my career so far I've ever seen someone push a big pull request and not have a bazillion nitpicky comments about it. Respecting other people's code doesn't seem to be very common in the industry. I struggle to think why I personally would even want that. Does it work? Is it readable/maintainable by someone other than me? Is it resilient to edge cases? If all yes, good, that is all I really care about.
5) > If you're someone who has no actual interest in learning to code, and instead see AI as more of a freelancer—telling it stuff like "make a kart racer game," and "that sucks, make it better"—then none of this really applies to you.
I mean, sure. I have very little interest or joy in "coding." I like building, and coding is a means to that end. Again, seems like a very junior mindset. I know people do find an enormous amount of joy in it for the sake of it, I am not one of those people, and that's fine. Usually it drives me to create better abstractions and automation so I don't have to write more code than I want to.
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A senior full-stack developer discusses the transformative impact of generative AI on programming, emphasizing the importance of creativity, continuous learning, and responsible integration of AI tools in coding practices.
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AI-driven coding tools like Copilot may enhance productivity but risk eroding fundamental programming skills, fostering dependency, reducing learning opportunities, isolating developers, and creating a false sense of expertise.
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The author raises concerns about AI-generated code being overly complex and bloated, complicating debugging and maintenance, and invites the tech community to share their strategies for managing these issues.
Using AI Generated Code Will Make You a Bad Programmer
Relying on AI-generated code can hinder personal growth and skill retention in programming, leading to dependency, legal ambiguities, and potential disrespect in the community, while emphasizing coding as an art form.