Ask HN: Anyone else struggle with how to learn coding in the AI era?

And it can be pretty great for that. But I'm not sure if this works well for people who don't have experience reading API documentation or coding support sites like Stackoverflow. Beginners having a problem most likely don't know any abstract term for the problem they want to solve, so they'll feed their scenario meticulously to the LLM, causing it to output an already tailored solution which obfuscates the core logical solution.

It's like starting to learn how to code by reading advanced code of a sophisticated project.

A career in software development 30+ years later, and I'm back learning from day one again, because LLMs are profoundly changing how we do this.

Example: two years ago, I built a website as an MVP to test a hypothesis about our customers. It took me 6 weeks, didn't look good, but worked and we used it to discover stuff about our customers. This week I've vibe-coded a much better version of that MVP in an afternoon. This is revolutionary for the industry.

The state of the art on LLM coding is changing fast and by orders of magnitude. They still get things wrong and screw up, but a lot less than they did a year ago. I fully expect that in a couple of years [0] writing code by hand will be completely archaic.

So, what does this mean for people learning to code?

Firstly, that hand-rolling code will become artisanal, a hobby. Hand-coding a program will become like hand-carving a spoon; the point is not to produce the best spoon in the most efficient manner, but to create Art.

Secondly, that commercial coding as a career will revolve around collecting business requirements, translating them into prompts, and orchestrating LLM code engines. This will be a cross between "Product Manager", "Project Manager", and "Solution Architect" in current role definitions.

Thirdly, that at least for next few years, understanding how code actually works and how to read it will be an advantage in that commercial career space. And then it'll be a disadvantage, unnecessary and potentially distracting. Soft social skills will be the primary factor in career success for this profession in the future.

The industry has been through similar changes before. Most obviously, the invention of compilers. Pre-compiler, programmers wrote machine code, and had to manage every single part of the operation of the computer themselves. Need a value from memory for an operation? You had to know where it was stored, clear a register to receive it, fetch it, and work out where to store the result. Post-compiler, the compiler managed all of that, and we were able to move to high-level languages where the actual operation of the computer was a couple of abstraction layers below where we're thinking. We no longer need to know the actual physical memory address of every value in our program. Or even manage memory allocation at all. The compiler does that.

And yes, there was a generation of programmers who hated this, and considered it to be "not real programming". They said the compilers would write worse, less efficient, programs. And for years they were right.

So, to answer your question:

> AI is clearlly changing the game here in terms of what it means to be a programmer.

> More concretely, what strategies do you use to both be efficient and able to ship / move quickly while ensuring you are also taking the time to really process and understand and learn what you are doing?

Embrace the change. Learn to manage an LLM, and never touch the code. Just like you're not writing machine code - you're writing a high-level language and the compiler writes the machine code - the future is not going to be writing code yourself.

Good luck with it :)

[0] There are lots of questions around the finances and sustainability of the entire LLM industry. I'm assuming that nothing bad happens and the current momentum is maintained for those couple of years. That may not be the case.

I appreciate this will be a deeply controversial statement here. As someone who's been coding for 25+ years and has some part of my identity in my ability to code this hurts and wounds me, but it is sadly true. The skills I've built and honed have little value in this new market. This must be how musicians felt when radio, records etc came about. My craft has been commoditized and it turns out nobody cared about the craft. They are happy listening to canned music in restaurants. Musicians are now like zoo animals where people pay an entry fee to see them for the novelty value. I exaggerate to illustrate the shift but part of me fears this might be more analogous than I dare to understand.

Code is about providing value to a business not in the lines of code themselves. Code is a means to an end.

If you want to understand coding for your own intellectual and hobbyist pursuit then please do. Generations of autistic-leaning people have found satisfaction doing so - but don't do it thinking it will remain a rewarding career.