I never found coding to be fun. All I care about is shipping features. However, I do care about maintainability and user experience. That's why I use AI to write much of the "dumb" code, and then I'll spend time doing quality control.
I always hated writing HTML and CSS, so I have AI do that. I always found writing tests and type annotations to be tedious, and would usually avoid those at my own detriment. Now AI is able to do those.
AI in general has been a net positive for me. I hope that it keeps getting better and better so that I can stop coding for good and focus on the products I'm building themselves.
I think the real sadness is that many developers may stop learning the deeper fundamentals — the things that AI can't replace.
When people start relying on the "I just want it to work this way" mentality and let AI take over, they can lose track of how things actually work under the hood. And that opens the door to a lot of problems — not just bugs, but blind trust in things they don't understand.
For me, the joy is in understanding. Understanding what each part does, how it all fits together.
If that disappears, I think we lose something important along the way.
But in a way a 90s assembler dev would argue that todays developers are not understanding how things work "under the hood" at all. I guess with each generation we just abstract to higher layers and solve bigger problems while just "relying on things under the hood to work just fine".
Yeah, that’s a fair point. Abstraction is part of progress — and we do rely more and more on things “just working.”
But that trust can be dangerous when we don’t even know what we’re trusting.
And when something breaks, it can leave us completely blind.
I’m not saying everyone needs to go all the way down to the metal — but I do think it’s important to at least understand the boundaries. Know what’s underneath, even if you don’t touch it every day.
Otherwise, it’s not engineering anymore — it’s guessing.
And I’ve never been good at just “believing” things work. I need to poke around, break them, fix them.
That’s how I learn. Maybe I’m just stubborn like that.
if you think about it the resource wasteful approach pre-LLM didnt really make sense (thousands of people often times re-implementing similar use cases). LLMs are like global open source repositories of everything known to mankind with search on steroids. we can never go back, if only for this one reason (imagine of how many hours of peoples lives were lost implementing the same function, or yet another CRUD app)... so if we cant go back whats next?
the paradigm is shifting from us not deciding how to do, but deciding what to do, maybe by writing requirements and constraints and letting AI figure out the details.
the skill will be in using specific language with AI to get the desired behavior, old code as we know it is garbage, new code is writing requirements and constraints
so in a sense we will not be reviewers, nor architects or designers, but writers of requirements and use cases in a specific LLM language, which will have its own but different challenges too
there might be still a place for cream of the crop mega talented people to solve new puzzles (still with AI assistance) in order to generate new input knowledge to train LLMs
I was scared of this initially, but I've found that I mostly just use it for tedious code that I would normally procrastinate just because of how mind numbing it was (like adding another CRUD endpoint) or making a sweeping change across code that wasn't as simple as a find and replace.
For things that keep me interested, I just won't use LLM features. Sometimes at the end I'll have it audit my code and sometimes it'll catch something that can be improved.
Also test cases. It's not perfect, but a large chunk of that being automated there is very nice.
I find it a mix of really frustrating (mostly it not doing what I want it to do, making random changes alongside perfectly good changes of the type I want) and amazing when it works. With that said, I think it works best in an unconstrained environment, and when you start adding constraints (don't do it via this method, don't use this library or import any new dependencies) you find much less good results. This inevitably means it works better at the start of projects rather than coming on to something that's been around for a while and has it's own patterns.
It looks like LLMs will automate a lot of what I enjoy doing myself and increase the amount of work of the sort I dislike (such as reviewing code I didn't recently write).
So my worst-case scenario with LLMs in terms of my job is that they will make my job hard to tolerate. If that actually happens, I'll leave the field entirely as there would be no room for the likes of myself in it anymore.
I wouldn't normally post a link to my blog in the comments of another thread -- I'm really not trying to shamelessly plug here -- it's just _incredibly_ relevant, and I've already poured my heart and soul into writing out exactly what I think here, so I think it's germane:
> I cannot write the necessary philosophical screed this deserves, but: there are things which make us human and in our individual humanity unique; these things are art and skill of any kind; and it so greatly behooves one to strive to master art in any and all its forms.
The opening of your post made me think of a scifi writing prompt where, in a dystopic future, people are paying mega tech-corporations thousands of dollars per month to replace their meat brain with a subpar artificial one just to become more productive corporate ~~slaves~~workers.
It seems to me that once things like Neuralink start being used for more than strictly restoring functionality in injured or disabled individuals -- once there's a competitive advantage to have one -- it'll quickly become an arms race.
Recently I considered trying to find a position for myself just reviewing code part time because I find that the funnest part. I find writing (significant amounts of) code quite tedious.
Hearing people say that code review/reading is the boring part makes me think maybe I should actually pursue this
I think the opinion amongst indie devs (at least the ones I know) is as varied as the opinion amongst other sorts of devs. Some love it, some hate it, some are neutral. It seems to depend on what it is about development that the particular dev enjoys and values.
I mean if you’re building react buttons and using pydantic and think that makes you an engineer then yeah you’re getting replaced.
I don’t think people who know how the computer and networking works are going anywhere any time soon. Or the people who actually made react or pydantic.
There's a certain elitism in programming where people will claim that library authors are superior to programmers who can only use those libraries, which is devoid of logic. Surprising, because programmers excel at logic.
Either way, I've been using AI to help me stop relying on external packages and frameworks lately. Turns out, AI can write libraries too because libraries and end products are simply code.
AI will replace all of us eventually, no matter how good you think you are. When guns got invented, Samurai went jobless but blacksmiths still had jobs. Fast forward to 2025, I don't think anyone is considering a career in blacksmithing.
I never found coding to be fun. All I care about is shipping features. However, I do care about maintainability and user experience. That's why I use AI to write much of the "dumb" code, and then I'll spend time doing quality control.
I always hated writing HTML and CSS, so I have AI do that. I always found writing tests and type annotations to be tedious, and would usually avoid those at my own detriment. Now AI is able to do those.
AI in general has been a net positive for me. I hope that it keeps getting better and better so that I can stop coding for good and focus on the products I'm building themselves.
I think the real sadness is that many developers may stop learning the deeper fundamentals — the things that AI can't replace.
When people start relying on the "I just want it to work this way" mentality and let AI take over, they can lose track of how things actually work under the hood. And that opens the door to a lot of problems — not just bugs, but blind trust in things they don't understand.
For me, the joy is in understanding. Understanding what each part does, how it all fits together. If that disappears, I think we lose something important along the way.
But in a way a 90s assembler dev would argue that todays developers are not understanding how things work "under the hood" at all. I guess with each generation we just abstract to higher layers and solve bigger problems while just "relying on things under the hood to work just fine".
Yeah, that’s a fair point. Abstraction is part of progress — and we do rely more and more on things “just working.”
But that trust can be dangerous when we don’t even know what we’re trusting. And when something breaks, it can leave us completely blind.
I’m not saying everyone needs to go all the way down to the metal — but I do think it’s important to at least understand the boundaries. Know what’s underneath, even if you don’t touch it every day.
Otherwise, it’s not engineering anymore — it’s guessing.
And I’ve never been good at just “believing” things work. I need to poke around, break them, fix them. That’s how I learn. Maybe I’m just stubborn like that.
This is definitely the core issue from my perspective.
if you think about it the resource wasteful approach pre-LLM didnt really make sense (thousands of people often times re-implementing similar use cases). LLMs are like global open source repositories of everything known to mankind with search on steroids. we can never go back, if only for this one reason (imagine of how many hours of peoples lives were lost implementing the same function, or yet another CRUD app)... so if we cant go back whats next?
the paradigm is shifting from us not deciding how to do, but deciding what to do, maybe by writing requirements and constraints and letting AI figure out the details.
the skill will be in using specific language with AI to get the desired behavior, old code as we know it is garbage, new code is writing requirements and constraints
so in a sense we will not be reviewers, nor architects or designers, but writers of requirements and use cases in a specific LLM language, which will have its own but different challenges too
there might be still a place for cream of the crop mega talented people to solve new puzzles (still with AI assistance) in order to generate new input knowledge to train LLMs
I think that we will be reviewers too, we have to know if the AI generated artifact does what we want.
ok, but this can be tested with black box tests, you can add performance tests on top to make sure there is no bloat over time
you might look at generated code as often as you look at generated assembly now
I was scared of this initially, but I've found that I mostly just use it for tedious code that I would normally procrastinate just because of how mind numbing it was (like adding another CRUD endpoint) or making a sweeping change across code that wasn't as simple as a find and replace.
For things that keep me interested, I just won't use LLM features. Sometimes at the end I'll have it audit my code and sometimes it'll catch something that can be improved.
Also test cases. It's not perfect, but a large chunk of that being automated there is very nice.
I find it a mix of really frustrating (mostly it not doing what I want it to do, making random changes alongside perfectly good changes of the type I want) and amazing when it works. With that said, I think it works best in an unconstrained environment, and when you start adding constraints (don't do it via this method, don't use this library or import any new dependencies) you find much less good results. This inevitably means it works better at the start of projects rather than coming on to something that's been around for a while and has it's own patterns.
It looks like LLMs will automate a lot of what I enjoy doing myself and increase the amount of work of the sort I dislike (such as reviewing code I didn't recently write).
So my worst-case scenario with LLMs in terms of my job is that they will make my job hard to tolerate. If that actually happens, I'll leave the field entirely as there would be no room for the likes of myself in it anymore.
I'm retired and write apps as community givebacks and as a creative outlet.
No, I am not sad because I am in control. If there is something I want to take on as an intellectual challenge, I do it.
If it's just mechanical tasks or UI layout tweaking, AI is perfect. I can become the user who keeps asking for fine-tuning of corner radius. :-)
tl;dr: Yes; at least some of us are. I deeply am.
I wouldn't normally post a link to my blog in the comments of another thread -- I'm really not trying to shamelessly plug here -- it's just _incredibly_ relevant, and I've already poured my heart and soul into writing out exactly what I think here, so I think it's germane:
https://prettygoodblog.com/p/the-big-secret-that-big-ai-does...
> I cannot write the necessary philosophical screed this deserves, but: there are things which make us human and in our individual humanity unique; these things are art and skill of any kind; and it so greatly behooves one to strive to master art in any and all its forms.
The opening of your post made me think of a scifi writing prompt where, in a dystopic future, people are paying mega tech-corporations thousands of dollars per month to replace their meat brain with a subpar artificial one just to become more productive corporate ~~slaves~~workers.
It seems to me that once things like Neuralink start being used for more than strictly restoring functionality in injured or disabled individuals -- once there's a competitive advantage to have one -- it'll quickly become an arms race.
Reading someone else code is the worst thing, so I tend to agree
This being said it does get some uninteresting things done very fast so I’m not entirely sad
Recently I considered trying to find a position for myself just reviewing code part time because I find that the funnest part. I find writing (significant amounts of) code quite tedious.
Hearing people say that code review/reading is the boring part makes me think maybe I should actually pursue this
Agreed it's not black or white. Do you feel 100% more productive than before though?
I think indie devs love it since they can focus on manually coding the fun parts and leave the AI to code the boring parts.
I think the opinion amongst indie devs (at least the ones I know) is as varied as the opinion amongst other sorts of devs. Some love it, some hate it, some are neutral. It seems to depend on what it is about development that the particular dev enjoys and values.
Agreed on this, but do you think this split that we human are happy with can last forever?
I mean if you’re building react buttons and using pydantic and think that makes you an engineer then yeah you’re getting replaced.
I don’t think people who know how the computer and networking works are going anywhere any time soon. Or the people who actually made react or pydantic.
There's a certain elitism in programming where people will claim that library authors are superior to programmers who can only use those libraries, which is devoid of logic. Surprising, because programmers excel at logic.
Either way, I've been using AI to help me stop relying on external packages and frameworks lately. Turns out, AI can write libraries too because libraries and end products are simply code.
AI will replace all of us eventually, no matter how good you think you are. When guns got invented, Samurai went jobless but blacksmiths still had jobs. Fast forward to 2025, I don't think anyone is considering a career in blacksmithing.