Coding as Craft: Going Back to the Old Gym
79 comments
·April 22, 2025codr7
bmink
Exactly this, though for me a lot of boilerplate is actually a comfort zone that I often look forward to, the way an athlete might to a light jog. Earbuds in, forget about everything, crank it out.
(That said your point is valid — there is boilerplate that is tedious and the resulting pain will be motivation to improve things)
amoss
It reminds me of the Hamming quote:
"I noticed the following facts about people who work with the door open or the door closed. I notice that if you have the door to your office closed, you get more work done today and tomorrow, and you are more productive than most. But 10 years later somehow you don't know quite know what problems are worth working on; all the hard work you do is sort of tangential in importance. He who works with the door open gets all kinds of interruptions, but he also occasionally gets clues as to what the world is and what might be important."
Each of those little interruptions is a clue about the wider state of the world (codebase / APIs etc). AI offers a shortcut, but it does not provide the same mental world-building.
sevensor
Reformatting data is the very last thing I’d trust an LLM to do. What if it picks numbers it likes better? Compiler won’t catch that.
spacemadness
My anxiety for where this is all going is as follows. Using AI for all your coding is a wet dream for CEOs because the goal is to fire all their engineering staff except for a handful of maintainers. However, it reminds me of trying to explain to your stakeholders why you need time to work on tech debt before it becomes a problem. There is no metric now that says there is a problem that’s easily measured but engineers are grinding their teeth trying to work within a system that is slowly degrading and is showing signs.
“Who cares, ship it, also we need this new feature next week. What do you mean it will take longer this time? Ridiculous, why didn’t you say something before?”
Likewise, the brainrot and lost knowledge, as well as possible new tech debt that fewer engineers working in their codebase understand, will eventually cause issues down the line. The same pressures will ensue causing stakeholders to ignore all the signs of degradation.
ericyd
I also appreciate the craft of coding. My suspicion is that eventually it just won't be a thing anymore, even though such a future is not my preference. Not that humans will be completely removed from coding, but writing every line yourself will just be incredibly uncommon and not industry standard. I'm not good at predicting, this is just where my gut is right now.
rco8786
This is a similar reaction folks had to autocomplete/intellisense when it came out also. "What you just press tab and get all the possible options. Psh, how about reading the docs like the rest of us did?". I think AI is a pretty big step function up in terms of the computer's capability to predict the code you want - but at the end of the day we'll still be writing code (I think. I hope).
mvieira38
Overreliance on intellisense does worsen your abilities, though, especially when dealing with complex packages and APIs. So does stack overflow. In my domain of data science and finance, it is VERY noticeable when someone doesn't actually understand how Pandas and Numpy work, for example, and how to write good vectorized solutions to their problems
__mharrison__
It doesn't help that AI generally creates very mediocre Pandas code (based on a lot of the training data showing mediocre practices).
alanfranz
With the difference that intelli* is usually correct - i.e. it fetches all the possible methods from actual code, and you can see the related api docs. It’s another view for the same data (more or less - of course there can be docs other than api docs)
With AI you’ve got no idea whether something is right, it’s a probablistic thing
That’s why I don’t buy the “AI as just another abstraction layer” argument. AI is something different and we should use it differently.
skydhash
I also wonder if people truly learned their IDE. Even xCode with all its warts have nice feature for completion, debugging, profiling, documentation,…
It seems like all they know is VS Code which is neither a good editor, nor a good IDE.
bitbasher
I think there's a fundamental difference.
Autocomplete and intellisense are tools first and foremost. AI is centralized into a handful of companies you are forced to pay every month for.
Autocomplete and intellisense don't care about your data. There's an inherent issue with data, privacy and ownership when it comes to AI.
If we can run useful models locally and make it generally available on consumer hardware... things would be different.
kevmo314
I do read the docs a lot less now though with IntelliSense, so if my craft were reading and understanding docs I'd probably be measurably disappointed by this future.
beej71
Aside: I can't stand popups when I'm coding. I always have to change it to something more manual or it just breaks up my flow. ^K to bring up a man page from vim is great--that's what I'm after.
pyfon
This sort if makes me want to learn Lisp. Maybe if every line packs a lot of punch and you need fewer of them, you can do things AI can't do yet. I think AI would struggle with Lisp since in Lisp, you engineer a language for the task. AI tends to be good on languages it is trained on. For now!
tmtvl
If you're ever bored for a weekend I'd recommend reading through the Reasoned Schemer, or at least the final chapter and the appendices to see how a simple Kanren can be implemented. It's what got me to properly appreciate macros.
sitkack
I think the best way to learn Lisp is to make a Lisp.
Two routes, I would recommend both.
qoez
This has been happening for a long time though. No one has written every single line of a program since the 80s. Every one line of a JS function call can boil down to hundreds or thousands of asm lines. Same thing happens here with english to asm.
jagira
I love writing code. I recently tried refactoring some modules using AI agents. The amount of time it took me explaining requirements to AI, reviewing the code it generated and fixing the mistakes was not trivial. And, it didn't feel as joyful as figuring it out and coding it manually.
If AI writes majority of code, then we will stop seeing shortcomings of existing tools, libraries and frameworks and eventually stop having new frameworks or libraries.
Would there be rails if DHH vibe coded 25 years ago? Or would there be library like delayed_job if Tobi vibe coded back when he started Shopify?
no_wizard
It’s arguably not a thing now and hasn’t been since the mid 2010s at the latest.
I blame the proliferation of MBAs but regardless of cause management killed software engineering as a true craft once they co-opted what agile development means and threw proper testing out the window and wanted devs to become turn key feature factories
elia_42
Really interesting and I agree with everything. With my team we always try to improve our programming skills without AI, even though we all recognize its great utility.
Today every type of problem and every type of solution seems to have to be solved with AI, when there are more creative, original and artisanal ways to solve them (even if, sometimes, they need more time and patience)
bobbyraduloff
Very good article. I try to (respectfully) push my coworkers in this direction but it’s a bit of a lost cause.
I work mostly on small codebases and you can smell unchecked AI codegen from a mile away. Even small changes become giant refactors.
People who push this have never had to work in such codebases. God forbid your requirements change mid project. Rarely does the sum of separate prompts without full context result in something maintainable and modifiable. You’re cooked.
jstummbillig
I think this fails to recognize how many more important problems there are in the world, and that the writing of code was not meant to be one of them, but only came into existence to solve them.
Of course, that does not have to be true now. You can certainly do this for personal satisfaction.
But the argument in this article is a bit confused. The step that lies behind "coding" is not of lesser difficulty, on the contrary. Instead of worrying about coding, we can instead worry about the bigger picture, and all the beautiful thinking, contemplating and deadlock it entails.
Only now, we are one step closer to solving a real problem.
noio
> thinking, contemplating and deadlock
This is what I’d call ‘programming’. Which you’ll still be doing even if the AI is writing the code.
The question is whether you can become good/better at programming without writing code?
juujian
This reminds me that I should do more coding challenges. Maybe nothing major, small data wrangling. Stuff like puzzles in the game Human Resource Machine. Advent of code light maybe. So refreshing and fun sometimes.
JSR_FDED
For me it’s not complicated when to use AI. If the task is something where having fluency will make me significantly more productive and nimble in the future, then I’ll go the old gym way.
It’s like communicating in a foreign language- you can do it with AI, but if it’s an essential element of your job then you’re going to invest the time to learn it so it becomes part of you.
2d8a875f-39a2-4
"Generating boilerplate code, Summarizing documentation, Understanding complex concepts, Debugging tricky error messages, Drafting unit tests, Formatting data"
Thing is, this is probably 99% of the programming work of a junior dev at a place where management thinks like that.
cjs_ac
> The phrase “reflexive AI usage” is what triggered my strongest reaction. “Reflexive” suggests unthinking, automatic reliance. It implies delegating not just tasks but judgment itself.
Does it? When I trained as a schoolteacher, we were required to engage in 'reflexive practice', meaning at the end of the school day, we were expected to sit down and think about - reflect - on what had happened that day. I don't know how the Shopify CEO meant that phrase, but 'reflexive AI usage' has two conflicting meanings - it can be AI usage that is either actively or passively chosen - and we might need some better phrasing around this.
bradly
> I don't know how the Shopify CEO meant
I left Shopify a couple weeks ago and Tobi is very, very all-in on AI being an integral part of all jobs at Shopify.
Tobi said that how you use AI is now an official part of your review, and that for any new recs, you need to show that the job can't be done by an ai. I left shortly after the memo so I do not know if things have changed.
Shopify also brought in a very AI CTO a few months ago that internally has been... interesting to say the least.
Also, anecdotally, the quality of code at Shopify was declining rapidly (leaderships words, not mine). All sorts of code-reds and yellows were happening to try and wrangle quality. This isn't Blind so no need for the gore and opinions, but we'll have to see how this shakes out for Shopify.
bwfan123
I thought ceos are more like coaches who motivate, and inspire. But not dictate employees on how they should execute. Since, engineers are expected to be far more capable than the ceo on their daily work (if not, the ceo needs to evaluate hiring practices). Tying ai-use to perf review and compensation is just more unnecessary process which incentivizes behaviors which may be counter-productive - "Oh, look, I am such a brilliant prompt-engineer"
So, the memo seemed to baby-sit adult engineers. It goes without saying that engineers will use AI as they see fit, and the least a company would do is to make copilot subscriptions available for the staff if needed.
Handprint4469
> we were required to engage in 'reflexive practice', meaning at the end of the school day, we were expected to sit down and think about - reflect - on what had happened that day.
That is _reflective_ practice (which involves reflection). Reflexive otoh comes from 'reflex', which does suggest unthinking automaticity.
cjs_ac
No, reflexive and reflective are synonyms; they are alternative forms of adjectives derived from the Latin verb flecto, flectere, flexi, flexum (note that both English spellings are present in the principal parts).
1123581321
They both have multiple meanings in English. The article was using reflexive this way: “ characterized by habitual and unthinking behavior.” https://www.merriam-webster.com/dictionary/reflexive
Is that fair to the word given its roots, no, but that is English for you. :)
fnordlord
Regardless of etymology, I believe the use of “reflexive” means something different in the article than “reflective.” The Shopify CEO isn’t describing insightful use of AI in coding. He is describing automatic, unthinking use of AI. At least, that it was my understanding.
rout39574
It's been a LONG time since my latin. But doesn't the active vs. passive capture the distinction we're talking about in English quite well?
A reflexive action is taken passively, without thought.
A reflective action is taken actively, with careful thought.
null
shinycode
> If people stop the occasional deadlock of grinding teeth, looking at a problem, crying, going for a walk, praying and screaming until suddenly it makes sense (and you learn something!), I’d call it severe regression, not progress.
People for which development is not their job will absolutely want to get rid of it as much as possible because it costs money. I really agree with the author, it does feel like a regression and it’s so easy to overlook what makes the most part of the job when it looks like it can be fully automated. Once you don’t have people who are used to do what’s quoted, and there is 500 million lines of code and bugs, good luck with that to ask a human to take a look. Maybe AI will be powerful enough to help debugging but it’s a dangerous endeavor to build critical business around that. If for any reason (political or else) AI got more expensive it could kill businesses (twitter api ?)
lo_fye
>>It won’t design your domain layer with the care and consideration that >>comes from deep experience and hard-won knowledge.
What if every time you had an Aha! moment, you blogged about it in detail. Many people do. AI ingests those blog posts. It uses what they say when writing new code, or assessing existing code. It does use hard-won knowledge; it just wasn't hard-won by AI itself.
DontchaKnowit
The problem is that someone elses aha might not apply to your situation. The AI cant reason and generalize like a human can to apply lessons from someone else to you slightly different situation
ath3nd
To me, knowledge is about knowing things, intelligence is about being able to apply your knowledge at the right context and for the right reasons.
The current crop of LLMs has a lot of knowledge, but severely lacks on the "intelligence" part. Sure, it can "guess" how to write a unit test consistent with your codebase (based on examples), but for those 1% where you need to make a deviation from the rule, it's completely clueless how to do it properly. Guessing is not intelligence, although it might appear masked as such.
Don't get me wrong, the "guessing" part is sometimes uncannily good, but it just can't replace real reasoning.
Even delegating just the boring parts doesn't appeal to me.
Generating boilerplate code - getting frustrated about code is what drives new ideas and improvements, I don't want to lose that friction.
Summarizing documentation - Reading and making sense of written material is a skill.
Explaining complex concepts - I don't want explanations on a silver plate, I want to figure things out. Who knows what great ideas I'll run into on the way there.
Helping debug tricky error messages - Again, a skill I like to keep sharp.
Drafting unit tests - No one knows better than me what needs testing in my code, this sounds like the kind of unit tests no one wants to maintain.
Formatting data - Maybe, or maybe whip out Perl and refresh that skill instead.
Keep delegating everything to AI for a year and I suspect you'll be completely worthless as a developer without it...