Abstraction Bad? | Clean Code : Horrible Performance : (Clip) Interview

Interviewing Casey Muratori!
Full interview coming soon, please comment down below and i'll release it sooner ;)
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[@vitiok78]

That "future proof" thing hurts me every time... I literally train myself not to overengineer those extra things that become a dead code in reality.

[@ThePrimeTimeagen]

It's taking me a long time to figure this out

[@chudchadanstud]

Over Engineering is not a "Software Engineering" issue. It's not even a bad thing. In fact it's the opposite. I work with other engineers and it's standard or even legal to do this. Game devs are like F1 MEs. They their job isn't to care about longevity of code. They mostly care about performance and will sacrifice whatever is possible to do it. An ME designing a bus or train will have to add redundant systems that hurt performance for the sake of maintenance and safety. F1 logic doesn't work in that field.

[@vitiok78]

@@chudchadanstud Your comment is literally the "overengineering" of my comment)) 99% of code has no need to be complicated. That over-redundancy matters only in a few specific areas of programming.

[@chudchadanstud]

@@vitiok78 But my comment is much clearer and extends your scope to handle more edge cases. I have less bugs

[@DevVader]

@@vitiok78 I think code can be complicated and that's not necessarely a bad thing. Complicated problems most times require complicated solutions. But I definitely agree that you should not add abstraction or complication for a use you think might arise at some point in the future.

[@filipbook5605]

absolutely loved this, love you both for all of your content and keeping our heads cool and on the ground

[@marble_wraith]

The thing Prime describes (at the 0:52 second mark) where you code something up that hides behind an abstraction and accounts for all these possible "future uses" is a code smell, and it has a fancy name: "Speculative Generality"

[@ragsdale9]

It's also called trying to make something flexible when you don't know the requirements lol.

[@clarkhinchcliff7824]

TIL, thanks.

[@ragsdale9]

@@combatcorgiofficial I think you didn't read my message

[@NukeCloudstalker]

​@@ragsdale9 keyword there being "trying". Most people try - most people fail, by making it hide complexity to give the illusion of simplicity - and ultimately actually making the code convoluted and obfuscated, instead of making it flexible. Flexible, simple and such terms are not easy to quantify to begin with; but the issue pointed at here, being "hiding things behind abstractions that aren't necessary for the program to run well", is a very real and easily quantifiable and identifiable thing. The solution here is to find things NOT to do, instead of "try to make things flexible". Because, as they said in the video - we're wrong. :P Note: I'm agreeing with you here.

[@NukeCloudstalker]

@@combatcorgiofficial Bro you're completely misunderstanding him. His comment was in agreement with the original post. His comment basically amounts to: "Speculative generality is also called 'trying to make something flexible without knowing the requirements' lol". The "Without knowing the requirements" being what makes it clear that you're actually in agreement, even if it might have seemed otherwise initially.

[@SlightRemorse]

A crossover I never knew I needed to see, but now I can't wait for the full version.

[@rubenbelando8162]

same

[@varomix]

This is awesome, looking forward to the full interview, love Casey

[@Optimus6128]

Love the host enthousiasm, also like what Casey has to say, can't wait for the full interview

[@RationalDissonances]

loved this talk! waiting for longer version

[@berk473]

GREAT!! I want to hear more from you both!!

[@chadzulu4328]

I needed to hear so much of this. Thanks!

[@higgins007]

Looking forward to the full interview!

[@owenpalmer8242]

Oh my gosh I'm such a fan of both these guys! So great to see them chat :)

[@ExpertOfNil]

This was a fantastic interview. Very insightful. "... write the damn thing first" . You should link the original Molly Rocket video and your reaction video too.

[@2mbst1]

100% agree!! While it's fun and a nice mental challenge to abstract into the future, it's SO MUCH more satisfying, when you already built the thing and know exactly where the issues and bottlenecks are. Too often, I had to fight with things that existed ONLY because of abstractions. People have a tendency to need to show off their programming skills; but the path to true mastery, as with most things, is simplicity. Also the first time I listened to this was with audio only, but my reaction was quite similar to prime's. Came back to write this and watched the video again and laughed seeing him react similarly. :D

[@ghostandgoblins]

I loved listening to this. I am at the very beginning of learning programming and this is exactly what I do. I just write a simple attempt at what it is I am trying to implement. See what it does. What's being returned. Where, if any, there is something going wrong. I get to a happy working state and try to understand where I can maybe make it better or learn from my code about how I was thinking at that point in time that got me into trouble.

[@vitiok78]

Faster typing is a great point! The main benefit of Copilot for me is ONLY the ability to type faster. I program mostly in Go and those "if err..." auto completions pushed my productivity in the stratosphere.

[@TheNewton]

copy & paste, intellisense ,autocomplete, boilerplate, templates, libraries, frameworks , sdks are Nth tier abstractions to try and be able to type faster

[@darthvader8144]

I want to write in Go also however there is no much jobs in my place..

[@MrHaggyy]

😅 a lot of your Boost comes from a program that guesses the right level of abstractions based on the characters you have written already. Yes some like { ... } and if ... else, are heuristics, where these chars have to follow somewhere. But some like GPT or gitCopilot do use high level abstractions and statistics to guess the most likely string of chars following some input chars.

[@sk-sm9sh]

So the way I'm thinking is that - generally speaking abstractions are usually almost always good and generally aren't even bad for performance if its bad for performance its rarely fault of abstraction instead its fault of bad design. The bigger problem is that most things that we think are "abstractions" in fact are not instead it's just layers of code that don't really abstracts much. Good abstractions is not so much about making code future proof either - future proofing something again is a design goal and certain abstractions can either help it or worsen it. For example you could say Einstein's relativity theory is more future proof that Neuton's laws of nature - as Neuton's laws are fully captured within Relativity framework with more accurately capturing extreme cases - yet we still use Neuton's laws instead of general relativity for a lot of things because it's easier and because it gets job done. What abstractions should achieve is they should help us reason about the solution in simpler terms. In essence they should allow you to think about problem from higher point of view. It's really not easy to create a abstraction most often we just add layers of functions not abstractions. Good abstraction decoupled low level thinking and high level thinking. Writing code in "single level of abstraction" IMHO is one of greatest software design advice ever created. It can be useful to set stricter smaller limits when creating new abstraction - it's much easier to come up with a useful abstraction that is more limited in it's scope than one that is more universal - often abstractions that are more universal are also ones that are either more complicated to use or they make significant performance sacrifice.

[@ThePrimeTimeagen]

I think I understand the differentiation you're trying to make here. I don't think you're necessarily wrong either. It's a good take in something for me to think about, because I want to make sure I'm always formulating my thoughts in the best possible light. It's shocking to see a well formulated thought on a KZbin comment

[@christoferstenberg3920]

Think it boils down to code first, abstraction second. Rather than the other way around. If we were to just boil it down to it's essence.

[@sk-sm9sh]

@@christoferstenberg3920 if it's non trivial problem you usually need to know some relevant abstractions to be able to jump into it and code it up. If you don't you might end up bogged down by complexity and stuck. Experienced developers know a lot of things from what they've seen in their experience so whenever they're writing code they're already applying a lot of high level ideas. Someone less experienced will struggle more as they need to invent more things on spot. I'd say research well first. Then code. And code a solution aimed at simplicity first instead of going for more generic one especially if you haven't implemented similar thing before hand. Simpler doesn't mean less abstract, quite the opposite. For instance, which is more abstract view of the world, Newtons laws, or Einstein's relativity theory? Relativity theory can do everything what Neuton's laws can do plus it is more accurate in extreme speeds. It can do more, so more abstract? Wrong. It's more specific, it's a more detailed model of how it works, thus it's less abstract. Developers often get concept of abstraction completely wrong. When one tries to implement something that will work in every possible case - well that's the opposite of what is abstract. All abstractions only work on some given range and there are no abstraction that can work well in full spectrum. Goal of a good abstraction is to be just good enough for some particular range of problems and it won't work for edge cases but it will simplify the problem scope just enough so that one can continue solving other problems

[@vamseemeduri6894]

Pretty insightful. Thanks

[@ko-Daegu]

I disagree abstraction makes it harder for compiler to know what's actually going on you leaving a lot of optimization and performance backed into the compiler when you go with abstraction regardless wither code abstracted is super fast or not

[@Blacky372]

I feel this so much! Thank you for making this video!

[@ThePrimeTimeagen]

you are welcome

[@caseyclayton01]

I absolutely hate abstraction for the sake of abstraction. There is no reason I should have to look at 20 different classes to understand a

[@NathanHedglin]

Some frameworks do this for absolutely no good reason.

[@BinaryAdventure]

Agreed, I've also had to do this and it was literally easier to read assembly language code at that time for me, it's so obnoxious, it's disgusting.

[@u9vata]

Realy awsome interview, can't wait for the full one. I also like that Casey and Robert C Martin did some communication - even though he totally not seem to have get that Casey's enum opcode + union method instead of virtual function polymorphism handles both when operations change fast and when new "types" are added fast... It felt like he was not reading it. It is good to see you agree with Casey this much on these things! I actually in that rare breed that thinks planning ahead can win you good things though. Many of my algorithms and data structures are on paper first and I code them later on. Last time I made a lightning fast sort algo (better than ska_sort) on paper and even the first time it started running it was beating standard sort heavily even before I started any "profiling based optimization". But mind it that on paper I already planned for cache lines, ILP and all such things - not like how algorithm design usually happens with calculating something like number of comparisons or hashings or whatever abstract thing. For me the paper-thinking works best because its much easier to throw away the idea when I thought them through: So in a way and in essence it does have this kind of fast feedback loop like coding it in does. Also I do multiple alternatives sometimes too. I guess this works for me because I spent my youth totally coding in assembly only. Literally only ASM for years and I remember writing a particle system in ASM for like 6 months in mid of high school and could literally run it like months later I started making this, because 1.) I was noobie and slolw 2.) doing that in asm was just complex 3.) I did this in spare time only (some people allegedly used this later in some game I don't know). To my amazement it actually "shown something". I did fear that I will just see a crash or black screen or something that totally not indicate where the error is, but I saw particles going on the screen but they had some bad patterns - and from the patterns it was easy to tell where my bug is! Of course current me would find ways to test and try out parts of my work much earlier, also would allocate more time for it in one seating so its not spanning months and all. Yet I think coding always in ASM had it inherently that I had to "type a lot in" and because this makes the feedback loop real long even if I would optimize it much better than my young self I think it kind of teach me to plan ahead better. Think about my dad's time when he was programming in his university time on PL/1 and literally on punch cards! He designed and wrote even the program on paper, handed over to some happy maiden that once (hopefully in good order) filled that into the big machine and he got some "you wrote a syntax error" kind of message a week later. ^^All the above being said: I like at least moderately fast typing, I highly use VIM for productivity and (at least) semi-automate a lot of things most people would dumbly write out. I don't really understand why they "claim" that it does not count. It really does! And not just it saves time "WHEN" coding, but even saves time in the paper design part where I know in advance that if some better solution needs me write more words on screen its fine and I don't fear it because half of them just gets generated by vim magic, the other half is not so slowly typed in... ^^Also doing vim means to me that I do not leave the flow when I am coding. For example Magyarsort's original version on paper took me a sleepless night to get it down - then I fell asleep and the next night it took me to "properly code all that stuff into the computer". - without any of those I think it would not be what it is today. Also please see a stark contrast between this and uml kind of bullshit design. I sometimes used very lightweight UML for documenting some complex communication protocols and its fine (sequence diagram was useful), but planning in advance with uml is really not my cup of tea. Ahead planning should be on paper pieces - sometimes not even A4 paper, but "whatever I find at the moment" and can go from verry tiny up to a full description.

[@ryanleemartin7758]

Oh yeah. Thinking about and working through problems is fantastic.. Architecting a design full of abstractions before you're sure they are the correct abstractions is where it falls apart.

[@u9vata]

@@ryanleemartin7758 I actually think you can do that too: just not all of it upfront but incrementally. I mean instead of doing waterfall, you would do "Bohm's spiral model" just not so strictly documented as that is not necessary, just having on-paper or in-mind planning phases and coding phases after each other. Also laying out "boxes" of modules on a higher granularity level can work - to me it feels it falls apart when done on the class abstraction level... it really feels like its maybe because classes are just bad abstractions and its better to think in lets say a command line app and an other - or a system service running and waiting on some pipe or "components" in any ways implemented and such more modular building blocks I feel you much better can plan in advance and also its ususally much more unlikely that they will be not how you think about them. On the level of classes (and worst of all if you start doing this class hierarchy shit) it totally falls apart nearly every time to plan that ahead but I also feel that its really the wrong thing to do. Also when I was working on R&D I had one more design principle: prototype based design. In that I looked at the project and before anything else, just identified what are the things that might be technically most tricky to get right. Then made throw-away fast prototypes that revolve around only those things. After this fast chapter we started doing "real work" and "some planning but only on module level". Then documentation always happened AFTER things were written and finalized somewhat - not like in other develolpment methods where they were trying to write it upfront. But the prototype phase really helped success rate of R&D projects I feel and it again is in line with what Casey talks about here with Prime - yet projects later also involved design on paper kind of stuff heavily (also at least half of those projects had custom hardware research in it so it was totally unavoidable anyways).

[@PigOnRye]

What an awesome conversation. I couldn't agree more. This is why it's called a programming language. The "languages" we know constitute the extent of our brain's capacity for thought (I would consider math a language as well in this context). When we use the English language to write, we are actually using it to think; putting our words in the right order and sentences in the right structure is literally our process of formulating a response to a problem (we are almost always writing about a problem). So, no writer can write a book in their heads, and software engineers can't just think up the perfect code. The act of using the programming language is the same act as solving the problem.

[@st-jn2gk]

Can't freaking wait, this is going to be awesome.

[@empresagabriel]

Please release the full interview! I watched it whole on the Twitch VOD, I would hate for that interview to be lost forever. You should interview more Casey Muratori, the discussion was so productive and interesting!

[@ThePrimeTimeagen]

the full interview is tomorrow

[@empresagabriel]

interview more* Casey Muratori

[@empresagabriel]

@@ThePrimeTimeagen Thanks!

[@Utsuhoagie]

Oh man, even as a noob dev with barely any work exp, I can already feel this so much with my current project, and it's *just* the front end. Thinking of my app as several, pretty separated modules, I decided to have my React app structured into features. But then I thought, "well maybe I'll need some kind of data mapper/formatter for all the data in *each* module". So I went and made a still fairly simple mapper (maps data from raw values to labels or messages, like "available: false" to "This item is unavailable"), and a formatter (formats things like currency, dates, times). But then I thought, "oh maybe some of these mappers could be shared, like a StartDate field could use the same formatter as the EndDate" so I went and made a "display mode mapper" that **maps each field to a corresponding mapper/formatter**. And now around a month after I started with that idea, I'm now left with some 7-8 different mapping/formatting objects, functions **for each module**, and I'm too scared to even touch them anymore.

[@leonardomangano6861]

I have been in that place, is the worst

[@Bernaren]

Dont feel too bad, how are you supposed to know what abstraction to use and when if you've never used them wrong ? It's good to experiment with these kind of things, évent if at some point you regret it.. It means you've grown !

[@asandax6]

test: Does it work if(yes){ dont_touch(); } else{ refactor (); }

[@v0id_d3m0n]

RIP lol

[@Utsuhoagie]

​@@v0id_d3m0n At least I passed it (was my capstone project) and graduated. Luckily I didn't get asked much about the FE side so I didn't have to showcase my garbage structure lol

[@nitinarvind]

Casey is awesome for take up this entire clean code debate. I had these same thoughts when people have been lambasting me and my teams with this stuff. This whole thing is a stuff between people who just want to program and then people who have a thing for authority figures. And in this case that authority figure is Mr Martin. Who uses a lot of debate tactics and rhetoric and appeal to authority. And a lot of people who I have been dealing with stuff have been trying to do the same thing with me. So . I am just glad that someone took on this stuff. Thank you Casey

[@pulserudeus7968]

Love this clip🔥💯

[@solomonxie5157]

Love the talk!

[@xtrwq]

Nice. Waiting for the full video.

[@philprager1445]

I think it's important to note that the "9 ways to hell" is a micro scale thing. You cannot plan things on a micro scale, but you should plan things on a macro scale. I think the best programs come from equal parts thinking/planning(macro) and implementing/iterating(micro).

[@ThePrimeTimeagen]

sure, i can buy this. "we need to build a service to X" yes "lets uml diagram out X" no

[@philprager1445]

@@ThePrimeTimeagen What counts as a macro or micro scale construct depends on the scale of the project, but yes.

[@davidmcdonnel4831]

@@philprager1445 Learn this one simple trick that applies to all system designs without question. System architects hate him! The secret is to always add a queue between services.

[@DEBBAH1907]

I agree to all of things thats said here. Personally I am very bad at figuring design of all the classes and inheritance and connections between objects before writing code. and I usually find myself overthinking about should I design it this way or that way, do I gotta do this or that because this wouldn't violate "best practices" etc... Then I realize I have zero lines of code written, all I have is lots of thoughts about how I could've done the thing instead of just fcking doing it. And when I actually start writing the code everything becomes more clear along the way. After you get a working code you can then refactor and make the design better, but you gotta have a working code in the first place.

[@mattstyles4283]

This is ok advice if you’re working on a feature, to “just write it” and see what happens. But for designing systems wrong design decision can cause years of developer headaches

[@ivandrofly]

That is 100% true!

[@CianMcsweeney]

That's why you should "just write it", if you over engineer something and then later realise it was the wrong decision, it's much harder to untangle the mess you made. Once you just solve the problem you now have a much greater understanding of the problem domain and can rationally and objectively architect a better long term solution

[@deloftie3619]

Bit confused about how this is in conflict with "Clean Code" though, I don't think clean code ever argued for future proof abstractions or anything like that. Clean Code is more make your code easy to understand and refactor because in 95% of cases it isn't you who will have to change it in the future it someone else so make it easy for them. There is a big difference between trying to future proof your code (guessing now how it will change) and making your code easy to change in the future. You don't have to know how the code will change in order to follow some pretty easy steps to make it easier for that change to happen.

[@TheJamesboink]

The question in my opinion is what we prioritize - do we wan't a more optimal code or code that will most likely be more readable for another programist, since we sacrifice tons of performance for "Clean Code" as Casey proved in "Clean Code Horrible Performance".

[@deloftie3619]

@@TheJamesboink In my experience in 95% of cases it is to be more readable for others. Any performance gains you get by not following this are minor in the grand scheme of things. And the cost impact of your code base becoming unclean or drifting to being a 'ball of mud' is vastly more expensive than the infrastructure savings you make. I once took over managing a team that had spent a few months trying to get the memory usage of the app down below the threshold that would allow us to reduce the size of our virtual machines. No one had ask them to do this, but like so many engineers these days they had watched a few of this types of videos and become obsessed with "optimization". They proudly announced as I took over the team that very soon I would be able to "save a lot of money". I pointed out that the infrastructure cost of the company was orders of magnitude cheaper than their own salaries, and I would gladly give them virtual machines with twice as much memory if it meant that they were able to develop features faster. When I hire a new engineer and it takes them weeks instead of days to figure out the code base the cost of that new developers salary for that extra time would pay for the memory upgrades multiple times over. I would highly recommend any developer have a go at managing for a bit, or even just ask to shadow your manager to see what it is like. You quickly discover that what you were worrying about is peanuts compared to what your manager is worrying about.

[@CygnusExOne]

Please don't hold the interview hostage.

[@DubiousNachos]

Prime, we'll pay your $2 million ransom; just let the hostage go. A lot of bad programmers (like me) need it

[@thatmg]

Yep... we need the rest of the interview!

[@secretaccount3842]

WE SHOULD GET MORE TALKS LIKE THIS ONE

[@phitc4242]

casey is a goat

[@berend109]

I will definitely watch the full one.

[@kevinbatdorf]

Great clip. more important than typing fast is to create a fast feedback loop so you can iterate fast

[@jespasan]

Reminds me a bit of Ed Catmull’s Creativity Inc on Pixar processes, the take away is “All Pixar movies sucked at the beginning, you just need to trust the process” , I really liked that book.

[@ragsdale9]

I think the point here is that you can't plan ahead without knowing your requirements and the consequences of each action (which you won't be able to think about while stressed, depressed, rushed, or distracted). Also knowing your execution environment would be part of the requirements.. I have found that the best early optimized code was small bits used commonly in the application being made to be flexible is better than building some large and all encompassing machine. I think once you optimize some things for flexibility it makes the code easier to write and makes the predictions easier to make.

[@BillClinton228]

What's even worse is when you are micromanaged and none of the tasks are documented... so you end up second guessing everything you do and at the end your code ends up being re-written anyway because you didnt write every single line the way your senior thought it should be written. The only standards in coding is what your senior dev likes to do... if your senior doesnt care about best practices they will go right out the window.

[@yates_]

I hardly ever comment, but lord, please, this full interview needs to be released!

[@ThePrimeTimeagen]

Should be released tomorrow

[@Astric24]

I've definitely programmed 10's of times less than either one of you, but every time I coded with a plan vs. without a plan, coding with a plan helps me way more. Usually for me even just writing all my desired steps explicitly helps me immensely to understand what the program should look like. And UML diagrams get a lot of hate, but I think when you're trying to share with someone else what your mental model looks like, they do a pretty good job. Like y'all mentioned, sequence diagrams or whatever will not get every intricacy, but if I start by seeing the diagram then the code afterwards, I can navigate it with way less friction than "where am I? why am I here anyway?"

[@stephenchandler9836]

If this works for you that's great, keep doing it. I think what Casey said about "that's great - I CAN'T" is where they're coming from. Do what works for you and don't get too obsessed with the ecosystem programmers tell you is the "right way".

[@CallousCoder]

I think they have a plan! It's just not written out and describes all the edge cases. I don't write anything down but I have a plan, and I know what to be aware about. But those details and egde cases, popup as you are implementing it. And sometimes new insights come up like: "hmmm... I can actually do it like this, then we don't need to X,Y,Z". I often find ways as I am developing to not have to send certain protected attributes like user data or reduce the required set making it easier to comply with regulations. Or find ways to improve/simplify security. If I can use a Managed Instance or a User Account makes a big difference. But you often don't see that at the drawing table, you just have to stand in the proverbial mud and try.

[@jfsanchez91]

I guess this people never had to work with juniors in a project with "out of my ass" architecture and a big domain with hundred of business rules and validations. "I do not plan or think ahead the solution, I try to implement it right away", that's pure BS; you are working alone or you have no schedule timeline, or your code looks like shit. "Abstractions are bad" my ass. "I just added a lot of setters and getters and everything ran smoothly", sure, in your 1 user, 1 core, 1 thread, 1 BS sequential world.

[@CodyEngelCodes]

"I just want to make it work, and make it nice" is essentially TDD in a nutshell. Just document the stuff you care about via tests and as long as those work all is good. If tomorrow comes and you need to add some other thing, then add the test, make sure everything else still works, and move on with your life.

[@JohnGirvan]

This feels like my conversations with Product and junior devs. I was once told by a senior dev many moons ago, that if someone asks for a gold sphere, build a cardboard box first. They might never need anything more.

[@pepperdayjackpac4521]

could u explain that metaphor? cuz I don't understand

[@JohnGirvan]

@@pepperdayjackpac4521 If you've been asked to build X (Gold Sphere), build the barebones version of X first (Cardboard box), once they have that they might never need anything more (round corners, gold plating) or they actually want something else now

[@BillClinton228]

I was once told by a manager not to use if statements... because he didnt like them. You get people who try to lift you up by teaching you and you get people who make up rules to micro manage you and you get nowhere.

[@satellite964]

Full interview ASAP!

[@vinipachecov]

Hey Prime! Your content is awesome and as someone who highly appreciate Clean Code and Clean Architecture I would say that I understand what you say. I don't think you are entirely wrong. Even Robert Martin mentions that in "most projects only need 2 layers" in his Clean Architecture book. Well, isn't that what we see in most web framework samples? A controller for web endpoints (presentation + business rules) and a data access layer? The main difference would be how to use these two layers in what the calls Clean Arch. Is it worth tightly coupling with the current framework tools? How much planning is this project worth? How much and what type of human resources do you have for the project? Well, in the end you know what kind of quality you are about to get because the founders/builders might not even be sure what they are planning to build. In that case, clean coding is a total waste of time in my opinion. If you don't know what you need to build, it is not a good idea to anticipate problems and plan abstractions. But it is not the same to say you don't plan anything. Another point I entirely agree with you is that it is not wise to plan what you don't know how a particular piece of software works in REALITY. Creating POCs with 100% tightly coupled, public getters and so on are a wonderful tool for exploration and validation!

[@Whateverworksism]

Casey is seriously great. I enjoy a lot listening to him.

[@SebastianSipos]

awesome cast

[@markhathaway9456]

When I was beginning the was that you will write it, have to throw it away, and then write it correctly the second time! DDD people need to get on the Scala-Native train. It has the great features you love and needs to be compiled. A lot of the work has been done. Finish it, get speed, and win!

[@paulinhotavio]

AMAZING

[@Ruzgfpegk]

One of the goals of "clean code" is to allow multiple people to work on the same codebase without creating too many conflicts and incoherences. It looks like Prime & Casey talk about cases where they were the only ones developing at the time, so they didn't "need" that.

[@philprager1445]

Very true. Especially when you need to extend someone else's code. Also let's not forget that "clean code" means good API design. The people working with your code might be users of your library.

[@JohnboyCollins]

Indeed foresight is very, very hard. At the same time it's psychologically challenging to keep charging into the unknown, like there's some weird thing where the mind wants to distract itself from the exact task at hand.

[@p20ph37]

This is great content.

[@mehmetedex]

This video is recommended to me at proper time

[@josefaguilar2955]

My most favorite way to get around this is in V1, throw Errors. Nobody likes errors, so it's mostly happy path designs. Once the thing is working, and depending on your colleagues: leave them in or remove them.

[@ebn__]

Wish I could like this video more than once.

[@clyde34]

I'd replace typing fast with editing fast, but otherwise agree fully. I'm not the fastest typist, but I know what insights, autocompletes, snippets, etc. my editor will provide, so when prototyping I structure things in a way to trigger those aids as often as possible

[@cipherpunk7409]

Years ago, I learned how to program from Casey's videos. And I now work with people who try to preemptively design things all the time. They're constantly hounding me about clean code principles but I can never take their criticism seriously because everything they write runs HORRIBLY. I don't understand it. There's some kind of bizarre script running in their brains that just cannot see the nightmare they've created for themselves.

[@two_number_nines]

It is either spaghetti code or their simple souls are impressed by complex code.

[@dorbie]

These people pervade the industry. They don't know what you know and cling to their silly ideas like a drowning man clings to a life vest. They ruin the engineering culture at entire companies, and attribute any success to their methodologies.

[@ko-Daegu]

yeah but you have to stop and think then write 7:00 so we shouldn't plan at all ? i don't get this point

[@CalifornianViking]

These videos are like therapy sessions. They confirm the things that I have believed to be true but suppressed because I was told they were wrong. That being said, I think you are sometimes oversimplifying. A little bit of planning can help, and we all think in different ways. Here are some examples: 1. Write down the problem you want to solve. Be aware that this is not the final thing. You will end up challenging this problem as you develop the project (sometimes the problem disappears on its own through things like non-pessimization). 2. Describe the big things you think you are going to build. It does not have to be perfect, it is not a specification. It is just a tool to clarify your thoughts. 3. Describe what a good solution would feel like (yes, I am writing about feelings as software is emotional). Is it going to be fast? easy? small? scalable? Again, this is not a specification, it is just to get the juices going. Start writing code as soon as possible. Once in a while, re-read the three things you wrote down above. Are they still true? Update as necessary, but keep it short. Run your code, look at your code, and throw your code away. Start over.

[@retrodad9390]

amen guys! and keep code simple, good testable(in most scenario's) and idiot-proof all the time! How mature the team and smaller the project the less idiot-proof constructs in the code in my opinion..

[@paulholsters7932]

What would be an example of an idiot-proof construct?

[@purplepurrpurrin]

Best April fools ever. Super excited for this interview though.

[@skyeplus]

I used to be very insecure, paranoid about thinking through every possible way things can go wrong. Then I learned Python. And it has that attitude of "just do it". Just do a thing. Provide some reasonable flexibility and error handling, but you can't probably write a piece of code that will universally work for every possible case ever. I finally chilled out and I began to write a better code.

[@darylphuah]

You gotta go through doing good things badly before you get to do "bad things" well. Problem is far too many people don't even get to the stage of doing good things badly and just do bad things.. badly. I've worked on some code bases that could have used 5 seconds of thought about design/architecture or even basic logic before the code was written.

[@selvasuriya001]

I think the design needs of any piece of code depends on all the things it is expected to accomplish. And we never know all those things any piece of code is expected to accomplish on day one, so designing the code as we go becomes the only way to do it.

[@vesk4000]

Please release. Casey is really cool. Also, how about an interview with jblow?

[@razorstone3088]

I can't wait for the full interview plz link the vod

[@adriancruz2822]

Full interview NOW!!

[@markovujanic]

I realised this on my own as well, first I was slow to predict the design, second 9 x out of 10 I didn't use this design "later", so I started writing obvious, direct code if you will. That being said, over time I was able to use better data structure to what I'm writing even if I'm just predicting on highest level, for example zipper, I use zipper's all the time now. This is also totally true, after you use the thing, and write the thing, you'll write the thing second time much better.

[@godDIEmanLIVE]

Full interview pls!

[@bransonS]

Full interview pls

[@tomiroth]

Full interview pleeeease :)

[@anlumo1]

I've worked at a company where we had a software architect who did nothing except plan the code structure. He added future-proofing to everything ever possible, stretching out simple tasks that should take a week to months of development. At one point, I did some fixed-cost contracting with the company (usually I had it on a time basis). I spent a month writing up the spec and clearing it with the architect, made an estimate and gave them an offer. Then my boss got flustered and told me that I have to up this offer amount by at least four times, because that's what they had budgeted for it, and it'd look bad for him this way. Of course I gladly complied. Then in the end, it took me only 2 hours, which was even quicker than I had estimated. One month of planning and discussions for two hours of development!

[@NathanHedglin]

Months of planning can save hours of programming!

[@m4rt_]

I tend to think our problems and visualize them in my head, be that on the buss, on the toilet, while staring at my screen, or basically any other time of day. So when I start writing I have a code structure in my head, though I do fiddle around when writing to find something that works. (I also look up random programming stuff every now and then to check how something can be done) Also when I don't know the output of something, I just put a print statement and look at it while using it.

[@nahfamimgood]

9/10 times its someone who is way to good to be working on what they are working on and they are bored. They over engineer everything and its a shit show. We just brought our app from 6k lines of code to 900 by just simplifying everything. We now also have 92% coverage compared to a 60% coverage before.

[@davidlarsson7555]

Love it. 2:30 mark sums up my reaction.

[@gamjah4390]

great clip

[@KyleSchieck]

Casey is amazing

[@glromeo]

I totally relate to this!

[@MrHaggyy]

I think both of you have seen a lot of bad abstractions paired with overthinking in practice. Which to be fair happens to everyone with decent skills or better from time to time. A good abstraction hides complexity from the programmer so you gain some free brain capacity for something else. (Much like VIM hides typing complexity) My favorite abstractions are hardware interface classes and message or event abstraction. If i hide the bit and byte addressing of a SPI or CAN bus in a class i can just write the flags in the network/application layer, and glue the flags to the right place in memory with implementation and declaration. Done correctly (with references) you don't waste a single instruction and seperated complexity. If you want to port this code to a cheaper microcontroller for example you only need to change the memory addressing and your done >90% of the times. One rule of thumb: a good place for an abstraction is a place where you have a lot of identical code, !! not similar, not is-a, not has-a, identical code !! Then it's worth hiding it behind a function or a higher form of abstractions. If you can't unroll your abstractions into working spaghetti code you choose the wrong type of abstraction for your problem, or your problem can't really be abstracted by it's nature. Template classes and math are a good example for this, as the STL::math uses templates a lot. If you need a dot or cross product template you are doing some multivariable calculus. Do you really wonna bother with datatype specific implementations or SIMD instructions while doing multivariable calculus? Or would you rather say hey language feature here is dot and cross product, there are only so many native datatypes, i just call it with the datatype i need and you fill in the right one for me, and compiler pls do your thing afterwards. Biggest problem why student struggle with making good plans, barely any Prof really minds the time and effort to show how you really identify identical code sections and hide them behind a layer of abstraction. They all just Allice and Bob, animal - bird - mammal - cat - dog or shopping cart you, but they never really dig into group theory and how to identify a set of something identical that can be abstracted without any "is-it-really-a" typecheck code bloat or a "you-said-it-is-but-it-is-not" bug.

[@dariusduesentrieb]

What has been your experience with prototyping/writing the first version with Rust? I got the impression that you feel very strongly about the value of just quickly writing a prototype and after that rewriting it from scratch, but I also believe I heard you say that you find Rust not ideal for prototyping (maybe I am remembering that wrong?), so how do you deal with that? Do you write the first version in another language?

[@raenastra]

I spent a while with the big JavaScript frameworks and this perfectly sums up how I feel. How much overhead have we added in trying to make things so clean and prematurely optimized?

[@LucasVieira42]

The real question is, how to deal with your coworkers always trying to plan ahead, pushing for early abstractions that just make code harder to understand. I don’t know what to do, it’s super hard to just reject their code because they are doing “clean code” and it is also hard to push my “dumb” code because they always come to my PRs suggesting the introduction of early abstractions.

[@Zikuth]

then, think on your abstractions more before writing/pushing?

[@gnarusg8708]

Please Release Sir.

[@j.r.r.tolkien8724]

Finally!!

[@gmarkbj]

Clean code is not only about OOP, and even for the OOP part, probably every developer who adopts OOP understand it is never about performance, it is about how to build a complicated software system and have generations of developers maintain it for 10 years.

[@bluecup25]

This. Doing the quick and dirty thing may be good if you're working alone on a project or prototype, but working in a team with many people is a whole different business. If 5 different developers work in succession on a piece of software over the span of 8 years and each of them optimizes for themselves by choosing the shortest path to get the job done, they just pass the technical debt on to the next developer. Eventually the needle that breaks the camel's back is reached and one poor bastard has to redesign the whole system because it is so fragile that every feature added or bug fixed has a 99% chance of breaking something else. And good luck explaining to management how you need 3 months to rewrite and retest everything when your task was to make the shopping cart colored grey when empty.

[@CallousCoder]

Well yes and no. Which code base these days live 10 years :D I see every company rewrite their crap every 3-5 years! It's the old hyper optimised code that is still working :D I can still compile my C code from 1990 that I did in school and it still works, as I recently did for a puzzel solver I wrote on this channel. Just to the backtracking algorithm function pushed it in and changed it a bit and worked. You can't even push your Python code from 2000 in a Python 3 from now and expect it to work :D

[@Salantor]

It is disheartening to see comments like this, suggesting that you can have either clean or fast code. Especially when you consider how hard code using OOP or designs pattern can be, with layers of abstraction, inheritance and frameworks on top of it.

[@bluecup25]

@@Salantor But it is unfortunately true, like most things in programming there are tradeoffs. I think "clean code" optimizes for extensibility while "dirty code" optimizes for performance.

[@CallousCoder]

@@Salantor there’s no such thing as a free lunch. More abstraction means more work for the CPU. And personally I don’t mind good technical code in most use cases. I guess that’s the difference between system developers and high level business developers. Us systems developers are always working on less abstraction. We live for creating and destructing memory and wielding bits and and pointers. If you do that long enough even less “clean” (very arbitrary) code is still readable for us. But when a business or web developers developer sees

[@wdavid3116]

Typing fast and experimenting is definitely way way better than upfront massive design processes. The risk though is people who iterate without thinking so you do need a balance there. I've had students copy and paste bad code from stack overflow (usually it's fine for the question but doesn't actually meet their needs for the lab,) and then iterate basically at random endlessly without making any progress. I feel like both of the people having the conversation in this video implicitly know this and you would think it goes without saying but I do feel it does need to be explicitly said just in case. As for software engineering the book modern software engineering does a good job of covering that topic. Engineering isn't about holding fast to certain ways of doing things it's just that most engineering fields are so well established that they look like they are that way. Software Engineering is a pure design process with the "construction phase" done by a compiler or as required by an interpreter so lessons learned from, say building a bridge, are not actually lessons, but anti-patterns. We tend to call mapping other construction engineering practises onto software "software engineering" but these practises (which UML was made to be a part of,) don't work for software and yet for some crazy reason people generally label the failed attempts of the 70s and 80s as software engineering, continue to teach them and don't update the practises based on what is seen in the real world. UML as a notation for communication is fine but just about any time I see a UML diagram either it is a poor way of explaining something when pseudo code or English would have been better or it's indicative of a bad design that has somehow become so complex it requires a system of diagrams to summarize it.

[@pif5023]

I burned myself enough times with future proofing! The future proofing I do today is to devise the simplest and most flexible system of components I need paying attention not to entangle data flows unless I need to. The looser I can have data flow the better. True future proofing is done on data, there is no way around that.

[@ya64]

To imagine a solution without trying first it's probably why it's so hard to estimate how long a task will take. Unless you've been through it before or a similar scenario, you just don't know how the end result will look like.

[@edwinmartens7459]

You can design "future proof" but programmers in general should not be afraid of backspace 😉

[@edgardoarriagada9467]

In the clean code book itself says that you have to use these words with criteria. No wonder why most of the people believe they are going to be replaced by an IA

[@edgardoarriagada9467]

Uncle Bob says not even him can write clean code in iteration 1

[@darthvader8144]

@@edgardoarriagada9467 who can?

[@voltflake]

Oh damn, he actually interviewed him

[@ryanleemartin7758]

I remember the late 90's early 2000's when all this crap was taking over the world. I fell for it hard too. Pontificating over UML based designs for weeks before even starting the process of scaffolding out the class hierarchies. There was so much crap piled on crap before you would even get to the point where real code that solved a problem was being executed. It was madness and a lot of people made a lot of money. I don't think they were all scammers. Uncle Bob gets a lot of shit. A lot of smart people drank a lot of kool-aid

[@ThePrimeTimeagen]

Hahah, this right here

[@deloftie3619]

1. Get it working 2. Get it working well 3. Refactor 4. Repeat

[@pricesmith8450]

fairly new to some of this... what about like, "zero cost abstractions" for api definitions in rust? It's sorta abstracting stuff away, but seems useful? I dunno

[@23wojtekk]

Just two grown men geeking out, I love to see it

[@robertjif6337]

Yeah this one for sure will support multiple types in the future, that time never came

[@gnatinator]

Upload the full discussion!

[@igrb]

Amen

[@daltonyon]

Yeah, i like to use test when is possible because help us later when we need to change software and software always change!!!

[@ThePrimeTimeagen]

Yeah I really like using unit tests as a form of implementation. Then the ones I really like I keep around

[@SlavaBagmut]

I first thought it was reaction video :)

[@LusidDreaming]

When you really think about it, the whiteboarding thing is insane. We assume we can plan out 10s of thousands of lines of code ahead of time, when in practice most of us struggle to keep the context of 1000 lines of source code in our head at any one time. Big shout out to Casey for his handmade hero streams. Seeing how he could just speedrun through it and get it working in some simple way, and then rearchitect as he added more functionality, that really changed the way I code and made me more productive.

[@ryanleemartin7758]

I think there's a term called "Wicked Problem" which is a problem that can't be solved until you solve it. A lot software is a wicked problem.