> However, it is important to ask if you want to stop investing in your own skills because of a speculative prediction made by an AI researcher or tech CEO. I don't think these are exclusive. Almost a year ago, I wrote a blog post about this [0]. I spent the time since then both learning better software design and learning to vibe code. I've worked through Domain-Driven Design Distilled , Domain-Driven Design , Imple…
I personally found out that knowing how to use ai coding assistants productively is a skill like any other and a) it requires a significant investment of time b) can be quite rewarding to learn just as any other skill c) might be useful now or in the future and d) doesn't negate the usefulness of any other skills acquired on the past nor diminishes the usefulness of learning new skills in the future
Breaking the spell of vibe coding
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Re: Breaking the spell of vibe coding
#12If you keep some for yourself, there’s a possibility that you might not churn out as much code as quickly as someone delegating all programming to AI. But maybe shipping 45,000 lines a day instead of 50,000 isn’t that bad.
Re: Breaking the spell of vibe coding
#13Just because you’re a good programmer / software engineer doesn’t mean you’re a good architect, or a good UI designer, or a good product manager. Yet in my experience, using LLMs to successfully produce software really works those architect, designer, and manager muscles, and thus requires them to be strong.
Re: Breaking the spell of vibe coding
#14Earlier quoted context omitted.
I personally found out that knowing how to use ai coding assistants productively is a skill like any other and a) it requires a significant investment of time b) can be quite rewarding to learn just as any other skill c) might be useful now or in the future and d) doesn't negate the usefulness of any other skills acquired on the past nor diminishes the usefulness of learning new skills in the future
On the using AI assistants I find that everything is moving so fast that I feel constantly like "I'm doing this wrong". Is the answer simply "dedicate time to experimenting? I keep hearing "spec driven design" or "Ralph" maybe I should learn those? Genuine thoughts and questions btw.
At the end of the day, it doesn’t matter if a cat is black or white so long as it catches mice.
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Ive also found that picking something and learning about it helps me with mental models for picking up other paradigms later, similar to how learning Java doesn’t actually prevent you from say picking up Python or Javascript
Re: Breaking the spell of vibe coding
#15I see AI coding as something like project management. You could delegate all of the tasks to an LLM, or you could assign some to yourself. If you keep some for yourself, there’s a possibility that you might not churn out as much code as quickly as someone delegating all programming to AI. But maybe shipping 45,000 lines a day instead of 50,000 isn’t that bad.
The people on the start of the curve are the ones who swear against LLMs for engineering, and are the loudest in the comments.
The people on the end of the curve are the ones who spam about only vibing, not looking at code and are attempting to build this new expectation for the new interaction layer for software to be LLM exclusively. These ones are the loudest on posts/blogs.
The ones in the middle are people who accept using LLMs as a tool, and like with all tools they exercise restraint and caution. Because waiting 5 to 10 seconds each time for an LLM to change the color of your font, and getting it wrong is slower than just changing it yourself. You might as well just go in and do these tiny adjustments yourself.
It's the engineers at both ends that have made me lose my will to live.
Re: Breaking the spell of vibe coding
#16I think it all boils down to, which is higher risk, using AI too much, or using AI too little? Right now I see the former as being hugely risky. Hallucinated bugs, coaxed into dead-end architectures, security concerns, not being familiar with the code when a bug shows up in production, less sense of ownership, less hands-on learning, etc. This is true both at the personal level and at the business level. (And astound…
Re: Breaking the spell of vibe coding
#17Which frankly describes pretty much all real world commercial software projects I've been on, too.
Software engineering hasn't happened yet. Agents produce big balls of mud because we do, too.
Re: Breaking the spell of vibe coding
#18Earlier quoted context omitted.
I personally found out that knowing how to use ai coding assistants productively is a skill like any other and a) it requires a significant investment of time b) can be quite rewarding to learn just as any other skill c) might be useful now or in the future and d) doesn't negate the usefulness of any other skills acquired on the past nor diminishes the usefulness of learning new skills in the future
On the using AI assistants I find that everything is moving so fast that I feel constantly like "I'm doing this wrong". Is the answer simply "dedicate time to experimenting? I keep hearing "spec driven design" or "Ralph" maybe I should learn those? Genuine thoughts and questions btw.
But also, you don't have to upgrade every iteration. I think it's absolutely worthwhile to step off the hamster wheel every now and then, just work with you head down for a while and come back after a few weeks. One notices that even though the world didn't stop spinning, you didn't get the whiplash of every rotation.
Re: Breaking the spell of vibe coding
#19> However, it is important to ask if you want to stop investing in your own skills because of a speculative prediction made by an AI researcher or tech CEO. I don't think these are exclusive. Almost a year ago, I wrote a blog post about this [0]. I spent the time since then both learning better software design and learning to vibe code. I've worked through Domain-Driven Design Distilled , Domain-Driven Design , Imple…
You'll probably be forming some counter-arguments in your head.
Skip them, throw the DDD books in the bin, and do your co-workers a favour.