Most based KZbin title award

Google promotes only the websites that can pay and they surely don't have the best coders automatically.

If an LLM is used as an natural-language interface between a developer and structural tools (e.g. refactoring, error-detection, system design) that already threatens a lot of jobs. Think of how the Rust compiler can catch whole classes of errors which used to require skilled developers to detect. While it's currently a pain to write and read in Rust, a fine-tuned LLM interface can help with that. I think we'll see more advanced versions of these structural tools built by very qualified engineers. And those could be put together like Lego blocks by a single developer paired with an LLM. In a way, those structures could replace the role that languages and IDEs filled in the past. I don't think this is better than what we have now, but it will be used by businesses if it's cheaper. And no, it's not reliable enough for critical systems or aerospace, but the vast majority of developers don't work in those fields.

Humans and AI have something in common...none if perfect 😂...drivers are still not replaced, so just keep living life bro..we need each other forever

Software was bad before ai…

Some guy bought a new car for a dollar using an AI chatbot which created the contract on behalf of the company.

Touche’

Real software companies didn't adopt AI yet. Give couple years, and the situation will be improved. I'm writing an article about that, so I will share with you when it's ready.

Many apps got quite bad due to the widespread switch to JS frameworks for most processing tasks (also on the server) or for recreating business logic on a client (based on the JSON data coming from a server).

Why do people assume AI-written code is going to be better, especially when they're just trained off of humans anyway?

It wouldn't have anything to do with AI being little more than probabilistinc models that can't actually reason nor understand problem sets, but are literally "guessing" what the solution is based on old solutions that may or may not have something to do with said problem, would it ?

boomer gramps fancies himself an expert in tech and AI

My analogy is programmers move from being a violinist to being a conductor.

What about 10 years from now

Exactly well said... because it's shite

AI is at best as good as the average dev. Think about that

I think the tooling is not problem,the LLM models were train with github code base, the majority of the code in GitHub is bad, not production, not efficient.

The modern software is so bad because of self-taughts, bootcamp "graduates" and the world being infested by WWW. Developing apps in Electron, really? No matter how smart the developer is, the result will be an utter trash.

The title of this video goes so hard

People forget.... being "intelligent" and producing good results in an intelligent way is something that eludes 95% of humanity at least. Why would an artificial intelligence trained on us even be a step forward, let alone accurate or even an improvement. You get out what you put in so given most AI contain the effective sum of all human knowledge, its hardly a surprise they produce such 💩 answers.

The trend in programming over the last decade is a trend towards rules, policies, guidelines and TESTS. This is still true. Look how much mileage Rust is getting from making the compiler do the work and apply policies. I just updated my ESLintrc, with the help of free Gemini, and now the Cline checks ESLint after every edit.

If AI 🤖 is this good, why can’t I build from scratch my own full clone of IntelliJ IDEA IDE for free ? 😂😂😂

Good luck with that😅

Maybe they don't need to be!

Software become bad in web before AI. Popularization of React, electron, etc. definitely did damage to quality of software, AI is just nail to the coffin.

Weird question. AI right now is not even near doing the mental work a human programmer does, like having a goal of what problem you want to solve, thinking of an algorithm, running the programming flow in your mind while typing it, noticing precisely things that can go wrong, it's a very precise conscious engineering work. AI will probabilistically produce something that is close to what seems to be the solution, but not consciously engineering it step by step. You run it and it doesn't even compile. Or it doesn't do what it's supposed to do. It works well with AI art or literature, because you don't need to be precisely engineering to the smallest detail to pass. Because of the hype of "we are livining in the golden age of AI and people talk about coding AI, so why is software not good?". It's like saying "we are living in the age of flight, the Wright brothers just did that and we have also ballons, why don't we already have bases on mars?". And in fact, the question "why is software still bad?" even applies to conventional tools that work precisely. A compiler will precisely take your high level language and produce assembly language that has to work and do exactly what you tell it to do. And many times will produce even optimized assembly. And we have modern developer tools, software methodologies and all that kind of jazz. And we have those for years since the 90s. So, the question here is, even with all that stuff and way faster computers, why software still sucks today? Both in performance and errors? With all our robust precise tools and "improved" methodologies, we can't go there. So how can we expect the primitive AI to do that, and isn't that the case that because we offloaded all that responsibility to automatic tools, we ended up not caring about good software as the new tech is always a "deus ex" that will magically solve the problems for us? AI is not even there but even what it will be in 10-20 years, I think it will produce crap, even worse than the human. We will just have computers 100-1000 times faster but still software that sucks.

fundamentally LLMs are GIGO

My LG TV Amazon Prime TV app, requires that I unplug and plug in the TV every couple of days so that it can be used.

because it is LANGUAGE models for now. They can speak, but they can't architect, can't understand goals, can't engineer

As I said the other day to an arrogant startup founder in San Francisco, "I don't understand, what do you want a foundational engineer for?, hiring one you have to share ownership and pay a salary, but, if LLMs are so good, why don't you pay the top subscription of OpenAI, and that's it? .. one thing is the smoke, and another thing are the actions at the moment of truth ..

Engineering, Programming, and Coding all have slightly different processes. Now this might sound simple but there is a LOT of nuance. When you ask AI to design something from the software engineering you are not asking for code or the logic (programming) nor the code (whatever language). Instead the broader aspects of what are the needs etc... Think of it like building a business plan. The aspects of the business plan needs logic but the code needs to support the overall plan and logic. When you ask AI you will get code spit out right away and the differences are mostly ignored, UNLESS you ask VERY direct questions. Programming is useless if you do not have an understanding of engineering because such is the systems, resources, etc... Programming (logic) is suppose to be a means to offering a solution but the solution needs to be comparable or do something useful and expressed in a language (code). AI is GREAT for learning but creating something useful you NEED to be solving problems. What are problems that can be worked on to create a general plan of action, create the pseudo code (word logic), bring such into a more developed programming framework and find a compatible language. AI will simply keep re writing everything and also has a limit to what it can do. Perhaps if it treated the programming like how business plans work and does a feasibility study internally and ask for tuns of parameters then build something requests could perhaps be useful. Later,

Nice points but what people are not exploring how to use AI effectively as software engineer or a developer with best practice it powerful,since you do the thinking as a human and pass specific instruction of what you want exactly meaning you must know your basic as a programmer❤❤❤❤❤❤

I tried to use these tools for something more than just a small site, and it doesn't even get small sites right. The moment I start adding things like Tailwind with Lottie and Rive... Falls over, doesn't even build... Tried all the tools,, ChatGPT, Claude etc... new tools and updated APIs with things like Rive Animation notoriously fails and breaks with these tools. I just reverted to building the whole thing myself, and I actually made progress much faster.

I am in the middle of rebuilding a platform that I built single handedly about 5 years ago and it still surprises me that I was able to build it at all. To give you an idea, it processes over 30k requests an hour and over 2 million database records being added every month. I am in the middle of a rewrite and I think I should be done by the end of this month. Sure, tools have gotten better, my skills have gotten better and so on. And AI has been useful for sure in getting me past writing a lot of the boilerplate. And of course rewrites are usually much easier since you already know what you are building. The original app took about 4-5 months to build for me, and this time around, I am going to wrap up in a month. There is no way the AI by itself would be able to build and design the whole platform, at least not yet. But it's a great tool if you are experienced, I think I use it as an junior assistant who does not screw up the code as often and sometimes outshines itself. So overall, I have a feeling that having AI write everything is going to be one of those cold fusion sort of things, always on the horizon but never quite there. Programmers do have some utility, at least a decade or two. And most likely more.

I have an app that took me 4 years to build and architect the database and the backend and the apps, i believe AI will not be able to understand the entire architect. it's huge just the backend controllers are so many, not talking about database tables, and hundreds of pages in moblie apps, Claude ai struggled with just one controller and it hallucinate, but its very helpful in creating chunks of codes, it can refacor an entire controller easily, but i have to revise the code, the ai is very helpful solving some problems that takes me hours like calculations, and it also writes better code than mine 😅 but it does apply the separation of concern too much

Always enjoy your perspective, thanks.

The most interesting part of this video is that it sounds like you don't see any technical limitation to LLMs being able to do the vast majority of coding as long as a talented prompter is leading them in the right direction.

Thoughts on embedded systems as a career? I feel like knowing hardware + software is a good bet for the future.

I have 2 years of experience but currently no job. The job market is crazy

I would say that robotics hardware is the place to be. That could be electrical or mechanical and aerospace engineering degrees or a combination of. All these degrees give you the fundamentals to pivot into these careers for hardware (and maybe software with a bit of self-learning). I say this because robots require specialized knowledge such as electronics, dynamics and some robots go to space (which is a different set of challenges). So you cannot have a robot without those engineers.

Before I started the video the first thing I checked is if you have any courses in the description, unfortunately a lot of tech youtubers now days gaslight everybody into thinking that the job market is sill booming and everything alright, Thanks !

Tech jobs will come back once the delayed effects of interest rate cuts kick in, Unfortunately, we just cuts rates a few months ago, and now we will see the delayed negative effects of peak interest NOW.

While the U.S. Department of Labor has set wage guidelines for H-1B worker pay, many companies have found ways to work around these guidelines. A report by the Economic Policy Institute revealed that the majority of H-1B employers pay migrant workers less than market wages. This is why most companies prefer to hire or retain H1b than American tech workers!I have been looking for semiconductor engineer jobs for four months and so far getting 0 job interviews. Why American tech worker got laid off first and H1b and L1 tech works still got same job?😂

The ai in supabase is pretty bad from what I’ve found

Graphic designer here. The "sense of craft"-feeling is so real, I get it 100%. I have not used any AI-tools for my work, yet Adobe has gone all-in on it. The future might be somewhat relatable as well, since I think the more specialised, "artisanal" work will always be sought-after when the budget allows it, whereas I would not be surprised if the junior roles and low-level stuff will be devalued and automated. The lack of fundamental design knowledge is in many ways behind all the slop on the internet right now, and I don't see that going away anytime soon. I started shifting more towards motion graphics and typography partly as a protective action, but time will tell.

So how do older devs survive through all this? How in mid thirties do I keep a job until retirement? Pivot ? Go into building houses because the young guns don’t want to know how to use their hands? Go back to school?

So, 8 months later than the post, the jobs arent back. Also, jobs have been bad on and off for tech. Like around 2000 if you were working, it got VERY bad. Big dips are bad, covid was so bad when I was interviewing, nobody cared I hadnt worked for 8 months because every recruiter said nobody is working, so I was just like everyone else. Tech jobs are always fairly good because so much stuff needs to get done, but when there are layoffs in general the competition is so bad, you just cannot get anything. I have been out for 8 months a couple times, but I can force a fix by taking a low paying job or a job in a different city and hotel it for a while. Usually if I can float a job I dont like for 6 months, that resets my resume and a new batch of jobs comes up and I can find something or just plow through a couple jobs I dont like. What I always fear is, after 6 months I just wont find anything and then the gap is big enough where nobody will show interest just due to the gap in the resume, which I just saw in the last search where they wanted to check references first, and that was a waste because everything is great with references, and they still do nothing, which really starts to look like you are in a tailspin where you cant fix it. Its networking the job that becomes critical as so many places say they cant find anyone, but there are plenty of solid people, they just dont know how to look for people or interview or what agency to use or not use. Agencies wont forward you because they want the biggest cut known to mankind so all the jobs I should get I never even see because the rate they have is half of what the client pays so they get half and its just stupid.

if a new language, new technology, new api, new library comes out.... who is going to write code for it? AI can't because it needs to see code first to learn. ChatGPT still thinks Biden is the Democratic Candidate for 2024

Been laid off for a month. 7 years experienced full stack Java developer and I can't even get an interview right now... Debating on where I should pivot, cloud or data?

Thanks. Some really good advice there.