alt Hacker News“Code was never the hard part” is an insult to all programmers
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I believe there are some programming jobs in which the code is absolutely the easier part. Not all of us work in signal processing, integrated systems or have to push upstream to Linux kernel because the company we work for really needs a memory allocation optimization for its data centers.
Navigating customer requirements and building something that satisfies both market's needs and company strategy can be an incredibly difficult and frustrating problem to solve. Especially if you need to also oversee the execution of the strategy. So not only you have to predict what they want or know the domain deeply enough to understand what they say they want is not what they really want, you also have to come up with a plan for executing your solution in a corporate environment.
There is a reason that books like "the staff engineer's path" cover topics such as local maximums, communication, establishing support for executing a plan or creating alignment on big efforts. In large corporate environments with multiple international customers, code is most of the time not the hardest problem.
> If coding is easy, how come programmers were in high demand, and have demanded large salaries for years (even before ZIRP)?
Because programmers have generally been forced to wear additional, invisible hats that are essential to making the code happen in the first place.
Writing code is not hard. Writing correct code is. Knowing what is correct in a setting with paying customers generally involves interacting with those customers. Either directly or worse. The gigantic salaries paid to the most prolific employees is not due to their ability to write code. It is due to their ability to interrogate the shit out of the customer until they finally reveal the true requirements.
This feels like post-LLM coding romanticization. Before LLMs, people would regularly say stuff like "I could build this in a weekend" under a "Show HN" post. How many times have people said "I could build Twitter in a weekend". I've even found in a post-LLM world, that kind of language has only increased.
When you are looking at something that already exists, where all the requirements are defined, when all the edge cases have been decided, then coding was the easy part. People didn't "burn out" because it was difficult to figure out how to write SQL. People "burned out" because the requirements constantly changed, demand was ever increasing, and edge cases were constantly being triggered.
>If deciding what to build is the hard part, why do so many product managers seem clueless?Why aren't there rigorous 10-step interviews for them?
Classic engineer type opinion where every else is dumb, except for him. So many people have come to see leetcoding as an intellectual badge of honor, when most of us know its cultural rigamarole and the code written on the job will rarely reflect the type of work that will done.
I'm not saying coding is easy, plenty of people struggle with it. But as far as the job goes, unless you are a junior just grinding through JIRA tickets, coding was the easiest (and arguably the most rewarding) part of the job.
Everybody saying "coding was never the hard part" is really telling on themselves. Coding was never "hard" because most organizations were absolutely unwilling to take on any technical work that was hard. That tells us about business strategy and culture rather than anything about the fundamentals of programming or technical work.
The real conclusion is that programming is such a high-leverage activity that even technically trivial, low-quality programming is immensely valuable economically. That's not going anywhere, but maybe LLMs are going to make it all that much cheaper. (Which is mostly great! But I really don't look forward to the painful debugging and maintenance that reams of shit code will push down on programmers.)
But also, there still is a ton of programming that is fundamentally difficult. That's not going anywhere either. And LLMs are useful there too, but they're currently nowhere near replacing the expertise needed to do novel and non-trivial technical work.
In an ideal world, making mediocre code cheaper should leave more room for taking on harder technical challenges. In reality, this has always been dictated far more by non-technical factors—culture, leadership, trust, risk tolerance...—than by anything intrinsic to programming. But, at least for now, we can use the LLM hype to motivate the kind of deeper technical work that always made sense but was too uncertain or too open-ended or too long-term for non-technical leadership.
And we should also drop the bullshit "code was never the hard part" framing.
I agree, the whole 'developers don't code' AI defense was pretty ridiculous. I also concur that development is going to get a lot harder. Anyone that has successfully used AI coding tools knows that you can get massive productivity increases but now I have to figure out how to get a bunch of hyper active child like coding entities with memory deficiencies to build stuff without going off the rail and introducing massive security problems or building something completely mismatched to the requirements. If you can do it, yeah you can get 10x results. But now I am engineering harnesses, architecture specifications, agent structures, statistically sampling, and formal verification systems to guide the code instead of writing the code.
The "code was never the hard part" is a narrative pushed strongly by designers, MBA guys and product managers. Even before AI, they've always treated programmers like low-lives, someone beneath them and completely replaceable like commodity. Ironically, of this entire group, it isn't programmers that are being replaced left and right. Whole product teams, designers are being replaced. Good coders are still in demand - because, someone has to fix the vibe coded mess. In design, there is no reference for good and bad. You either like a design or not. In code, something either works or not. That's why it's always hard to replace a programmer as opposed to a designer.
Has Claude code et al replaced programmers? Not really. And it will be a long time before it can - because someone needs to still instruct the direction of the code, the base architecture to build upon and that comes with real human experience.
The answer to all these "if coding is easy" questions is that coding isn't programming (to put it in Lamport's terms).
Encoding your ideas into a programming language is easy. Understanding that your ideas are bad is hard.
You have clients with multiple devices connecting to your backend simultaneously, while you mediate their interactions with your partner systems. Their versions might not be up to date. It's a distributed system. When was the last time you cracked open a distributed systems textbook?
When was the last time you built a system and stared reality right in face, that is: - can't trust your clocks - pick 2/3 of CAP - exactly-once delivery impossible - the code will need to be altered and released without downtime - hackers will try to exploit you for fun and profit - your manager doesn't want you wasting time getting the above right
Coding is the easy bit.
I never had burnout from writing code; I had burnout from PM changing priorities every day or from tickets being half-baked. Also been burned out from being awakened that switch in somewhere in the Middle East had high CPU usage, which I was on call for for some reason (I wasn't on the network team, but that team didn't have bandwidth to be on call)
Writing code is easy; that's why I do it as a hobby on weekends as well. I don't have to sit through five arch review meetings that talk about how we are going to name the class rather than what the API contract is supposed to be.
Sure, writing good C is hard, and writing PHP (used to be) hard because language design is full of inconsistencies. There is so little "hard" code that I wrote for money. Plenty of somewhat harder things that I wrote for myself because it's entertaining. There was a time when I had to spend more time getting a pull request ready than actually writing code in that PR.
"If coding is easy, how come programmers were in high demand, and have demanded large salaries for years"
It's like saying 'Lawyers write documents!' for their job ... no, that's just an artifact.
Architecture, Systems, State, Integration, Algorithms, Pipelines, Platforms, Ops, Design, Communicating with other Eng, Working on a Team, Understanding Product/Product Marketing Requirements ... and of which the 'code' is just a small bit of the written part.
Honestly ...
Nothing is ever hard that you've done 100 times before and know how to do. Creating documented step by step instructions that cover all or most eventualities is.
When people say "code was never the hard part" they mostly strictly mean the syntax. It's a viewpoint where LLMs just translate english to code syntax but where you still need to know what you're doing with e.g. algorithms, organization, testing, forward-compatibility matters, other considerations, etc. to not end with a mess that may or may not work. You still likely need to do that work, just in English.
It isn't insulting. It's just a different use of the word "code" that doesn't cover all work that a programmer does.
It’s not that coding is easy, it’s more that coding was not the bottleneck in the process at large organizations. It was (and still is) getting agreement on what to build, meeting with stakeholders, and dealing with the ever-changing priorities.
A lot of people enjoy coding, it’s the rest of the job they don’t like. That’s why it feels hard.
If a tool was going to come along and automate away a huge part of a programmer’s job, I think most would want that tool to eliminate the meetings, ambiguity, scope creep, and administrative work… not the coding itself.
My best days at work were days with nothing on my calendar, when I could just put on some headphones and make something. At the end of the day I felt like I accomplished something and had something I could see and use to show for it; I finished the day happy and energized. Contrast that with a day full of meetings, fire drills, and busy work, where at the end of the day I’m mentally and emotionally drained, wondering if I should quit to stock shelves at the local grocery store. Which day sounds “harder”?
I don’t know about where everyone else works, but defining the details of what to build seems so hard that no one actually does it, so it falls on us as we build things. During one project I got a directive from the CIO (which has only happened 1 time in 20 years) to get what I was working on done in 4 weeks. I made all the decisions myself when it came to the details and had something mostly working in 2 weeks (I skipped all meetings and any other distractions during this time). Several months later, the bureaucracy came into play. The principal architect on the project, who I never talked to before the CIO told me to get it done, finished his design and some details needed to be worked out. One such detail was a port list. It took 4+ months of meetings to get that done, and it still required constant tweaking after that for another year. There was a half dozen other things like that in the same project. So yeah, the initial code was pretty quick and fun to write, and then it was followed by 2-3 years of hell, that probably should have been worked out before we started coding. I ended up having to go back and re-write a bunch of stuff to align with the design that was decided on over a year after the deadline the CIO gave me. In most cases, I think the updated code is worse, as the bureaucratic design creates a lot of operational work that my original design avoided entirely, but I digress.
Coding while definitely not easy, it was never the hard part.
The hard part has always been how to solve x problem. Coding is the last piece of that part, which while not easy is not the hardest.
The art of computer programming books are not about coding they are about computer science, i.e. figuring out how to compute solutions to problems.
Figuring out what to build is definitely not the hard part though.
Refreshing read. There is a group of people who think about the customer, or at least they claim they do or their role says they do. For some reason we keep having to go back and forth with them as some sort of office space middleman to understand why the requirements change every week and what the customer wants, because these days implementation means you own the responsibility for everything you are forced to touch all of a sudden.
Why exactly should a "programmer" who does not talk to the customer directly, be involved with this? How much more do we have to do on top?
I feel like this very often. I'm supposed to get a carefully written task with specific measurable outcomes and then I do so.
Besides that, have you ever tried to teach someone what a Rest API is who has 0 interest in it?
Regular CRUD code may not be the hard part, but just thinking systematically AND knowing the technology is a different level. None of the people who say that ever touched pointers or know the concept of heap and stack. Just talk to them, its crazy.
I watched a guy vibe code something and he couldnt explain to me where the "runner" pulls the data from. It said database but it actually went onto an FTP and hallucinated data out of a log it found.
I think we are getting to a point where people overestimate their abilities hard.
> If coding is easy, how come programmers were in high demand, and have demanded large salaries for years (even before ZIRP)?
My take on that question is that programmers were in high demand because, for the last 60 or so years, it has been cheaper to write software for general purpose computers to automate things that were done by people and more rudimentary machines, e.g. accounting, manufacturing, music production, etc than it was to pay the people to continue doing those jobs. So, it continues a trend for programmers to be replaced by software, at least until something in the process breaks.
At its core, there is something difficult about programming. Fred Brooks talked about the need for perfection, Don Knuth about there being about 1 in 50 persons who had the mindset for computer science. But we haven't really been paid because it's difficult, we've been paid because we're cheaper than the alternative.
Typing up English language logic into code hasn’t been a job for 40 years.
That’s what people mean by this.
i’d bet half of my normie programming career was spent capturing requirements, understanding the target domain problems etc for easy normal web development. once that is done code is a grocery list for 90% of it
To be fair, the use of absolutes like "never" is a red flag. If the statement were "code is often not the hardest part", that's certainly plausible and debatable depending on context. The implication that coding is easy is what's offensive.
Coding something for the second time is much easier. Therefore, coding is easier than some other tasks in software engineering. Getting the spec is usually the harder part, except if following the spec is for really complicated products, like "one does not simply rewrite VIM" shows.
Yes, writing code that (appears to) work was not the hard part. Even before LLMs you could find very cheap contractors on Upwork or through offshoring companies to write "code".
Well-engineered code is hard. It still is. Code that is reliable, extensible, maintainable, scalable, legible, understandable is hard. Code where the specs and the "why" behind it were pressure-tested via thought and good intuition.
Well it's easy to come up with code, not hard at all. But what kind of code? Does it work? And more importantly, can it be maintained and adjusted to evolving requirements?
Coding is easy just like writing is easy. What makes the difference is what you write.
>If deciding what to build is the hard part, why aren't market researchers, usability experts and—hell, customer success—considered rockstars in a software company? If “understanding the customer” is harder, why are business analysts looked down on as pencil pushers?
Because they're not the ones deciding it, they just provide input for the Heads/VPs/managers who make the strategic decisions. And they are paid pretty well for this.
You seem to be misunderstanding the premise of the statement. Go write, "print 'foo';" and copy and paste that statement one hundred thousand times. Congratulations, you just wrote one hundred thousand lines of functioning code! Was that hard? No? Okay, so how is this different from other code? The difference is that it's easy to _understand_ how that code works, because it's the same behavior repeated over and over. So, writing code is easy, but understanding code is difficult! And, when we code with AI, undertanding is precisely the part that it can't handle, even though that's where almost all of the value is!
This is a bit of a false dichotomy. The thing that isn't code (at least in some people's minds) isn't "requirements analysis". It's architecture, data modeling, deployment, inter/intra-team communication, triaging, prioritising, code reviewing, testing. It's all of software development, and not simply writing lines of code (which in itself can be hard of course.)
It seems the author has misunderstood the point of the common narrative and has torn apart what’s essentially a strawman.
The degrees, the books, that’s not the supposedly easy part. That’s the HARD PART, and it’s actually the “what you build” thing. What you build is the code architecture, knowing how to conjure objects, methods, modules, lambdas out of thin air in a way that faithfully represents a real-world problem. Literally the shape of the resulting code. It’s not product or CS.
The easy part is supposed to be actually typing out the code, putting the methods together, remembering method names and syntax quirks.
The truth of that statement depends on what you consider as "coding".
The way I would define it, coding is to software development as cutting is to open heart surgery. It is the final part of the process after 99% of the decision making and application of experience has already been done. There is still some craft or "surgical technique" to it, but the hard part was surely everything that came before (requirements, architecture, design, etc, etc) that got you to the point where all you had left was a bunch of classes and fully specced out modules (and implied test cases) to code up.
I feel that some people, maybe including a lot of the people working at the AI companies, think that the software development job mostly consists of "coding", and perhaps in machine learning (not much code in an LLM!) it mostly does, but if you are a developer and define coding as the final "sit down and implement it" phase, then surely that is the easy part.
Ive been doing this for enough time. Code is rarely the hard part. Code rarely matters at all in my career experience.
Shipping a working service or product matters and theres a lot of ways you can get there. The upside of good code is usually in maintenance and extensibility but theres a limit to how much those matter in the grand scheme.
I guess my impression using these tools daily is that it hasn't diminished the need for my own technical expertise. The conversations I have with it are highly highly technical, and to me the insights come from both sides, I see things the LLM doesn't, and the LLM sees things I don't. It writes a lot of bugs that I have to spot, and writes designs that aren't correct. (This isn't a criticism, I do the same). I think the ideal world version of this stuff is complementary, but the current insane bubble economics mixed with the insane religious fervor make that unpalatable to the leading AI companies. (Like, I think Sam Altman said that anything below a trillion dollar IPO valuation is a "non-starter".) So, "nice coding tool", even if that's the BEST and most realistic outcome, is just not going to do it for them.
Code was never the hard part… once you made it to some level of advanced programmer. Then clarity, maintainability, etc. became the next tier of Maslow's Hierarchy of Coding.
This post misses the point about what has changed. It's not that coding is or was easy, it's that coding is _more than typing code_.
Typing is easy. Coding is hard. LLMs eliminate the typing and aid with all the other parts of writing code (where is the system that I want to mutate, how does it work today, debate the tradeoffs inherent in the potential plans of action).
What remains after factoring out the typing and the time spent assembling an understanding of code is opportunity cost. That's not an insult any more than memory managers are an insult to languages like C.
I think it can be pretty hard. It can be hard to find the right fit/abstractions.
LLMs don't fix that though. I see some truly awful code come out of them. And no, it's not just better context or use more skillz.md.
Starts with a rant that appeals to hardcore programmers and then tells them to adapt.
Of course he is an AI consultant among other things.
One of the strongest teams I worked with, working on an extremely large and ambitious project used to answer a lot of product/executive type questions regarding missing areas that we knew how to author and could safely assume general design consensus “it’s just typing”.
It was a very useful contraction in the right senior circles where there was a pretty good understanding of the meaning and decently reliable assumed consensus.
I eventually stoped using the phrase because it had started leaking deeper into the team and the impact on earlier career or less confident programmers was often no longer positive, it could be misinterpreted in lots of different ways but the most harmful was when it would further decimate confidence and discourage requests for help when something wasn’t obvious to the ultimate author.
As with almost every attempt to generalize in software engineering the repetition or extrapolation beyond the context in which it was intended can have negative side effects, it doesn’t matter if it’s a simple notion like “dry”, or a comment like “code was never the hard part”. None of these phrases survive context loss and still retain efficacy at general receivers.
Coding is easy if you enjoy doing it, met plenty of professional programmers that hated it and never felt the desire to improve. To them it was a way to get a paycheck that paid reasonably well.
> If deciding what to build is the hard part, why do so many product managers seem clueless?
I'm not sure I follow the logic here. Wouldn't this mean that product design is hard?
That said, yeah, coding is hard. I suspect that those who claim that coding is not hard are high-level ICs. For better or for worse, as the size of a company grows and as one's career progresses, engineers will often tranform to professional box drawers, expert meeting goers, seasoned report writers, fierce gatekeepers...Anything but deep coders. Over time, they lose touch of the actual building and think that any code can be handled by people under them.
People like Jeff Dean, who still codes and optimizes things like TPU kernel code, is very rare.
I don't think I've heard a lot of people say "code was never the hard part". I have heard "Code was never the bottleneck", which is a different thing altogether and is objectively true at my company. The bottlenecks were and still are integrations, QA, requirements refinement, coordination, etc.
Nope, only those without a degree that cannot do anything else, e.g. the bricklayers on a building.
Real engineering has always been about talking with the multiple parties, organising architecture meetings, taking down requirements, if no infra team available setup the whole CI/CD pipeline, and so on.
Programming could be done in whatever language, or low code/no code tool, solved the business problem.
Now what will remain to humans is a big question.
LLMs are the invention of the loom. Code is being industrialized.
Yes, there always will be artisanal weavers and a smaller number of them get paid a lot more money to do this by people who can afford it. Everyone else either started operating a loom or did something else.
Automated looms are now making mass amounts of textiles but the artisans are no longer doing the physical act of weaving. The artisans come up with cool designs, get feedback from customers, solve people's problems and outsource the rest (physical labor).
We are in the loom moment. Are you designing things people want? Are you doing the weaving? These two paths can coexist but they are diverging disciplines with diverging difficulties and diverging value.
Typing code into a computer is rapidly becoming physical labor now. The layer of creativity and problem solving is quickly rising to a level above the code since the code is a fluid now that comes and goes easily.
I agree with the author that coding is objectively "difficult" but this is something I am good at, while dealing with people, changing requirements, bureaucracy, and maintaining work relationships I find challenging. I always say coding is the easy part of the job (for me).
The author's main thesis, that coding is hard, conflates what an individual finds easy or hard, with what is easy or hard for an average person.
The 8 hour work day was quite a victory but since it happened long ago i would really like to see how health and productivity in each occupation declines over time and by task. I expect not just the obvious jobs to have quite absurd numbers and vary a lot from person to person. One might imagine a gradually increasing hourly rate, a decreasing one or a combination of the two. Writing code i could probably do 2x an hour per day. Much respect for those who can do full days. If we imagine there to be roughly 500 defined occupations it seems quite doable to measure how "easy" coding really is.
what is -coding-? only typing down some code? the hard part is always the design part, reading doc, reading other code, understanding the sum of the parts, making choices, until the code to write is (quite) -obvious-.
Probably is a question of terms: there is two things: -design- and -coding- (but could be anything as: building, drilling, turning, traveling..) so to make things without a good design is the regal way to problems, many times is a problem left by others, and in a world more and more complex and fast-changing can only be more and more worst. Hard to say what part is really the hardest, but starting with a bad design is no good.
And now probably LLM will solve some problems, but for sure these tech will create more and more new ones.
There’s too many dimensions to make broad claims like this and it always makes me wince a little.
In my career code was the hard part for the first few years. Then I got over the hump and everything else about my job was harder. Today code is the easiest and least interesting part. But I’ve also experienced in 13 years maybe… I’m going to say 2% of the world of professional coding. I bet if tomorrow I was asked to do some kernel optimization or make Postgres better or reverse engineer an emulator for some PLC something something, I would be deep into a land where code is the hard part.
depends on the industry. but in consulting the hard part is dealing with customers who dont understand their own business and analysts who think writing software is rote factory work but somehow struggle to write a handful of coherent user stories not littered with subjective and ambiguous language
these two groups are telling me my time is numbered because of llm and ai when in-fact im struggling to see how ai doesnt replace them both
really good software engineers are expected to be experts in their job and that of the rest of the project team, these individuals are primed to be empowered by ai in a really disruptive way.
> I don't mean to imply there are no developers that simultaneously care deeply about the craft of software development and really empathize with the customer. I do believe they might want to see a professional about a split personality disorder, tho.
Well, this is also an insult.
Cleanest way I read this is seeing how basically none of it makes any sense for someone coding as a hobby, or in any non-business context.
This is not an article about coding, it’s a promotional piece for business stakeholders.
> Why did companies seek 10x ninja rockstar coders and subject them to leetcode interviews—surely, a junior fresh out of college could churn out something if it's so easy?
Because companies resent that they have to take on risk and pay people to extract value from the market.
Ugh, why do we have to pay people to code, maintenance, etc. Lets pay people to extract more value for our bonuses and shareholders. Lets try to only hire heavyweights so that we don't get hung up on that difficult-to-measure coding process, knowledge transfer, messy human-ness. Oooh how nice, we can hire a fewer employees that know how to leverage code agents that free them up to think about that what REALLY matters...
Unpopular opinion: I fully believe that anyone who says "code was never the hard part" was an irresponsible coder who perhaps never had to work for themselves.
No matter how long you spend on architecture, no matter how carefully you plan your features, if you are an actually good developer there are choices that emerge only from the first draft of the code — things that you could do better, broader ideas that suddenly emerge and change your view of your own work, abstractions that become possible once you internalise the project through writing it, realisations that a requirement is unscalable, unworkable or unsafe, etc.
Nobody ever finds all those things only in the planning stage in any piece of code of consequential size or functionality: if it was easy, we'd all be doing waterfall development like 1970s consultants or using StP like 90s consultants, and none of those other ideas about coding would ever have emerged.
LLMs will just write the code. They will never have the rest of that experience. And I think any coder who doesn't have a visceral feel for what I said above is just bad at it.
"The code was never the hard part" is just edgelord AI evangelists masking denial with a pithy mantra. The code, its capabilities, the tooling choices, it's all indivisible from all the other hard parts.
But then these are often also the people who think they can use AI song or image generators to do the bulk of the work and "add the finishing touches". They also think "taste is all that is left" when the thing that gets us paid is not just our taste, it's our responsibility for and to our work.
Agreed.
"Code was never the hard part" is the dumbest thing I've ever heard.
Making something work, has always been easier than making something someone can read. AIs also, seem to benefit from clean abstractions, appropriate code reuse, etc. (coincidentally, the thing they suck most at).
It's the same thing with english, except that english doesn't have a compiler. Comprehension is the only measure of communication if you're talking about a human language. Programming shares the same goal. Both, often also need to do something else useful. Programming, and lawyering, have a lot more in common than people think.
We're creating a culture of sh*tting on codebases so the highest paid execs can cash out when things get tough. It isn't a new phenomenon, but it's one we'll need to endure until enough people lose enough money that the accountants start taking notice and start saying "you should be more careful, or you'll lose your shirt". In the interim, the people that care are working insane hours to try to protect the things they believe in from inevitable doom, and risking being fired to do it. There is a balance to both sides, and the jury is out on whether or not anthropic/openai/alibaba can save us from the future we are creating now with short-term goals.
There is a half truth to code being the easier part.
In order to reduce the complexity of eventually coding something, you use modeling and code probes to validate the business model and then write the code.
This has been around since the days of batch programming and evolved through domain driven design principles.
The reality is the business can’t see that so they don’t invest in it and have no patience for it.
Agile wasn’t embraced because it was better. It was embraced because it was cheaper and faster.
Planning and modeling are the levers of complexity.
I think there is a de-facto distinction between different kind of programmers, we just need a clear names for them. Like, "builders" for folks who ship products and see code as an annoying intermediate step and "engineers" for people who build technically sound software.
The author might be missing the intent of the observation. Maybe they’re misinterpreting it.
What I, and many people who’ve said, “code was never the hard part,” aren’t referring to the skill of an individual. It’s not the hard part of the engineering process of developing software. Programming languages have manuals. Many data structures are well documented. There are frameworks for damn near everything. While the difficulty of producing code varies by the skill of the programmer and the complexity of the problem domain; writing and understanding the code is a tractable and straight-forward problem. I can and have taught many people. People can learn.
What most people are referring to is that the hardest parts of producing software are all the things an organization has to do in the production of it. It’s not writing the code that is the hardest part for an organization. It’s getting everyone to understand the problems, working together, gathering requirements, developing specifications, validating releases, testing, etc. It can often look like herding cats and is probably harder.