Those saying that it is "just a tool" are right, but it's a tool with knowledge of every single domain and the ability to write good code, very quickly, architect and give scaling advice. That's exactly what developers do and for business people, developers a "just a tool" to get their product out. See where I'm going with this? Denial won't help you adapt to the new world that we will be living in very soon. You will only be replaced if you fail to adapt.

I love how I'm starting as a jr dev in 10 days and see stuff like this

I have 17 years programming experience. I also pay for the pro version and it's definitely made me a better developer. I'm becoming insanely productive.

Great presentation Nick. 30 years developer here. The main question for me is how we (humans) will not be eliminated from the creative process, in development, but also generally speaking too. Obviously ChatGPT 5,6,7,8 ... will solve all our problems. This is not only development "tool", it goes and will go far beyond our comprehension, and that is the scary thing. We will not be able to understand how this platform "thinks" and generates solution and at some point for the 1st time in human history we will need to watch what this is doing in a similar way that our dog is watching us now.... Such tools should be open sourced and available to human control otherwise 2-3 big tech companies will literally be able to dictate everything on the planet.

Being a good developer and learning how to code shouldn't be just about typing a bunch of well structured documents. At it's core, it's problem solving, or should be. I'm a senior developer but I know i don't want to be doing this in my 50s, that's why I've started my own business last year. Think of dev skill as a set of skills to a mean,e.g. running your own business. Put it this way, WHEN these AI tools can do what I do as well I do today, I'll use it to create. It'll be like having a team of 100 developers at my disposal to run my business. To all junior devs, do not be discouraged by your journey. Coding teaches you how to think, it's a fantastic journey. Use these tools to frog leap your career, not just being a code basher in some office till your 60s.

Things I have used it for outside of programming that impressed me. I was rewiring a skidloader and it was able to troubleshoot a 60 year old machine, it was able to tell me what wires went where, resistance values to check if parts were still good, and even tell me factory bolt head sizes so I didn’t have to guess. I also use it to type out concise instructions for specific models of electronics explained “like I’m 5” for my elderly family members. It was able to walk my grandma through cleaning her print heads and connecting her canon printer to wifi, a lady who has never even used a smartphone.

Looks promising. I will start to worry when he will be able to load at least 1000 lines of legacy code and, based on the description of the task, fix or supplement the functionality.

This is awesome, I think I'm going to find ways to utilize this in my everyday job like how you did for example to create test cases for specific things and also create easy api call scripts that could save me 15-30 minutes sifting through docs

If you use ChatGPT to replace junior developers or any other junior level jobs, who would you have senior level jobs eventually?

Still figuring out how to make the most of it. As an experiment I tried to create moderately complex software dictating the requirements to GPT, but felt it takes more time than if I just coded all by myself. Can still be a useful tool for troubleshooting.

Well, all this is quite a straightforward task in my opinion, that indeed the AI should be able to handle easily. And indeed, it might replace junior developers, but the question is - how do we create senior developers if we replace junior developers with AI? And more importantly, it is non-trivial, open-ended tasks, which might even not have an optimal solution, where the human senior developer adds value, not so much with CRUD api programming.

Thank you for the video! I think it makes sense to also test how good it is now in adding new features/refactoring/fixing bugs in the existing code (since it may save even more time for devs).

Personally I think this is the future, a coding assistant that does provide help.

I feel like my job is more figuring out requirements than coding. GPT feels like an updated version of Resharper, not going to change much our job, but accelerate the coding part maybe.

The irony is that it takes an experienced Nick Chapsas to assess whether the output is correct or not. A junior developer would be somewhat blind, and a company executive or manager would be even more blind. You could fire all of your software engineers, but ChatGPT wouldn't help you to build an enterprise software product (vast understatement alert). Writing code is just the unit of work, it's the abstraction layer above that of understanding the business requirements and creating a working, maintainable, performant and scalable solution that is where a software engineer's real value lies. People said that the desk top calculator would make accountants obsolete, but they still exist, because number arithmetic is just the unit of work, it's the abstraction layer above that of financial accounting which is where the real value lies. The calculator just automated the tedious part. If they ever crack general AI that could be another matter.

Using chatGPT to help me write code for my game and answer questions on generally how to do things. Really improving my mood as now everything seems way more achievable. One questions away and I get at the very least a really good pointer in the right direction. GPT4 is for sure better in programming over 3.5

Do not panic. I've been using ChatGPT and even with version 4 it still needs tons of babysitting and code refactors. You even need to adjust the code as it often does not compile and/or misses bits and bobs. It's a great tool to get some outlines and ideas on how to tackle certain situations, but this is a just TOOL that developers can wield.

😀 when you realize that chat GPT can do your work. 😨 when you realize that chat GPT can do your work.

I see this as a means to make developers more productive. Granted, it might mean that your boss thinks that because you're getting so much done he might not hire a couple of juniors to help but generally being more productive results in more work eventually funneling your way... Software is never finished.... At least until someone notices it's not being used.

I’ve been working in c# for a year and I’m happy that I know all of the things you were talking about. I guess I’m considered a senior then? I’ll be using this tool for sure (when being given new projects to work on)

Its just a very fast research replacement for Stackoverflow and Google. But what will happen, with Chat GPT if developer blogs and Stackoverflow are dying?

Well I guess creativity will be the main distinction point when applying for jobs. And knowing design patterns, algorithms and data structures like you were born with them will be a must.

This is essentially what I originally thought the capabilities of GPT3.5 was because I had seen the capability of what gpt3 had like a year prior with tests people did and when I used it I wasn't that impressed. GPT4 though... This seems to have way better context awareness and is now actually worth paying for. If you have used chatGPT in any meaningful capabilities, now is the time to fork over the $20/month. I asked it to create a non-trivial webpage with api and database connections (you know like any website these days would use) and it did it in under 30 mins with only 2 resets. Copy pasted close to 1200 lines of code and it worked minus 6 easily resolvable bugs that it instantly fixed. The original chatGPT straight up wouldn't have been able to do that unless you spent something close to a dozen hours babying it along.

I am so glad I have retired. When I started (in Australia) there was no internet and I was constantly reinventing the wheel. Work was all about creativity and discovery. Tomorrow it will be all about who can craft the best ChatGPT prompts.

The thing that blew me away was when I asked GPT-3.5 to write an analyzer. It's a pretty niche topic compared to web stuff, but it performs really well. For any kind of complicated stuff it kinda goes off the rails, but the output still saved me a lot of time.

Addons to a Visual Studio or IntelliJ to automatically generate all these code files within a project with just a simple ask what you need. Color code generated code files, so reviewer/developer can go directly to these files to review/tweak the rest of the code. Same kind of addons to ask to generate UnitTests with 100% coverage for the whole project. :)

I wonder if it'll ever get updated past 2021, the coding world is changing fast and like he said in the video "We don't do that in c# anymore". It would be great if it can provide more up-to-date techniques.

Once that can be integrated into an IDE so that the AI can know the entire context of an existing project, that's where it gets really useful. Then our jobs shift completely towards doing code reviews. And eventually we can skip code completely and our projects will just be sets of use cases that can be used to build a project from scratch every time. Most of the complexity of "software development" will be in maintaining those sets of use cases and making sure no data gets corrupted during updates to a new version of the software.

I think that gpt4 is pretty amazing, that being said it makes some pretty crazy errors (although it is better than gpt3). I was using it here a couple of days ago for something, it produced some code and it messed it up and I corrected it and moved on. The problem with where it messed up is it would have been nearly "invisible" to someone who did not know better. This tool is going to end up making a lot of subtle mistakes. What I think will happen is many companies will try to get by "on the cheap" with junior developers rather than senior developers and those junior developers will accept A LOT of mistakes into the code base. Also as more and more code ends up being the "training set" for these tools that was generated itself we will start seeing some really amazing bad problems. A few (very stupid) companies may even try to let project managers use this to produce code. That is where it will get incredibly bad. I think that we will have to use these tools in order to keep up but it really is going to be like stack overflow on steroids. Errors will still show up and our job will end up more to catch super bad errors before they get integrated into large code bases. What I am actually afraid of more than anything is having to clean up the mess this is going to cause.

It's a force multiplier on anyone that knows their task, at least. The extra productivity will ripple through industries.

My problem is that, unlike natural languages, programming languages are highly formalised and not so subject to misinterpretation. It follows that training chatGPT encodes prior art and copyrighted code far more exactly than natural languages. So, what is being generated to a query is much closer to what a paid professional programmer would do...in this case the programmers who supplied their code for training. Now while it is true that most? of the code is open source, I am not sure how I feel about hard won coding techniques used to get an actual paid job are being inferred from public code and used effectively without attribution. Now if the government recognised this and paid me a UBI I would say to chatGPT - go for it - use all my code.

I think that this may ultimately change development about as much as the internet (being able to Google stuff) changed development. So, yes, a lot. But there will still be professionals with coding knowledge involved in the creation of software. *You* identified the limitations and issues of the answers. I would be interested to see if the AI can be self-aware enough to list and evaluate the respective limitations in context.

One thing to keep in mind - I only ever see ChatGPT tested at creating new projects or writing new code. But most software development work is changing existing codebase. It would be very hard end time consuming to explain to ChatGPT how your existing codebase looks like, what are the requirements and limitations etc. So it looks impresive but it's mostly usefull for boilerplate setup. Be honest with yourself now - how often in your real job do you actually set up new things?

To my knowledge: The Legacy model is the original GPT3 which where fine-tuned to more human-like answers, the so-called GPT3.5 (thats why the name). Then GPT3.5 Turbo (GP3.5 Default), which where released few weeks ago. (1st of march)

As time passes and as more of us adopt ChatGPT for developing, do you think the Github repositories feeding data to future versions of ChatGPT will become more and more alike? I'm wondering if ChatGPT could become "ChatGPT-biased" by influencing future code.

I had an interesting experience with ChatGPT 3.5 yesterday. I was trying to get it to write a very simple shader for Unity. It seemed to know what it was doing at first, but kept writing the code incorrectly. Every time I sent it the error message, it correctly understood what error it made, but it then wrongly applied a "fix" to the shader. I basically spent half an hour repeatedly pasting its shader script, reporting the error, pasting its fixed script, reporting the error, etc. and we just went in an endless loop where it could not give me a shader that didn't have at least 1 erroneous line. I wonder if ChatGPT 4.0 would be less... I don't know, incompetently looping if I asked it to solve the same simple problem. For anyone who has Plus and wants to try it, all I asked it to do was to give me a simple shader based on HDRP Lit that has a color texture input and a noise texture input, and to make the noise texture displace the vertices. After over an hour leading it around, it was never capable of completing the task. I'd be interested to see what 4.0 can do better.

I guess more developers will move from being code creators to code reviewers and "fine-tuners", which is fine, you will still need the knowledge and experience, there is no skipping or losing anything

from experience the dev work is so much in the customers understanding and changes in business. which i don't think a bot can do but can only help.

Impressive. Although it still needs an senior developer to review the results (as you said) AND foremost it needs a developer that writes the right prompts. :) Being a software developer will change, without a doubt. A quote from the movie "I Robot" comes to my mind : "That, is the right question!" ... that's what it will be about in the future. You as a developer have an A.I. companion that does the actual work for you, but you need to command it (by asking the right question aka write the right prompts)

What I see is it is a great tool for learning. It has the knowledge of an expert about a lot of disciplines. And it can automate generic and trivial works, but at the moment, cannot analyze your project or a real scenario. It's a cool, powerful and helpfull tool for taking decissions, but the humans are who finally take decissions, and modify or customize the recomendations. I see the tool as a Stackoverflow with steroids.

My concern isn't losing my current job. My concern is never being able to get another one.

Interesting, I have tested it today, and had so many problem, it messed up GCP API with AWS API, so basically it created some unusable code. And my questions were pretty simple. I have spent more time on fixing the API usage and finding the correct one, that I would probably spent on reading the documentation. Maybe I did try it on GPT-3 ;) I just tried some generic questions on trial free version. I suppose I still need to learn how to work with it.

Well, as an architect, this tool is amazing for rapid prototyping, fast POC generation. If I could somehow convey system design for multiple services and get the scaffolding that would be awesome

That example you gave about GitHub raising issues and having GPT-4 fix them: you can kind of see the progression of this. A self-repairing, self-improving system. Writing enterprise-level applications through prompt engineering doesn't seem far away. A fun experiment would be to write a blank-slate app, and have users write prompts to add functionality to it. Code which the app itself would implement into itself. Do you see where I'm going with this?

I have decided to directly join as Sr. Developer and am skipping mid/Jr. developer role.

Cool stuff, however, I would like to see how it fairs with less "book like" questions and more real world weird requirements and constraints people have. Especially with legacy code. If it can handle that, then we are talking, if no, this is nice co-pilot to help me skip the boilerplate in some cases.

I tried using it today to help me write a console application to reproduce a bug I had with an audio API. And it was still like pulling teeth to get it to do what I needed. And in the end i still ended up rewriting the code and refactoring it into a more sane project structure.

I already use ChatGPT regulary to help me in my daily work and I agree that the new model is very, very impressive. But the real task of developers is to work with the requirements we get from the stakeholders. What I mean by that .... requirements are never a complete definition of the result. Think of it - if a requirement would be a complete definition, it would already be the actual program! So maybe in the future the job of us would shift to write the "programs" in a more natural language, but it is still translating all the babbling from the stakeholders to some unambigious form ... and we will be much faster in putting it in an actual running form or refine it in an iterative way.But it will not replace us. At least not all of us ;-) ;-)

Junior developer today, senior developer tomorrow. I've been saying for years that coding of programming if you prefer is a mechanical task well suited to automation. What is not suitable for automation is requirements, that is specifying in detail the software functionality - what my grandmother used to call the gizinta and gizouta.

Thanks for the "continue" tip. This is amazing. I can do in one day a job of one week before. Since I charge by the hour, I get paid less to produce more. Arg!

Nick, I hope you are going to be OK. Haha. PLEASE keep making videos about Chat GPT. I learn so much each time. :D

I don’t think chatgpt can replace a dev. I literally use it to build a big side project I build, sometimes chat gpt spits out stuff which doesn’t make sense, sometimes it suggests functions which doesn’t exist in some libs and stuff

When my father programmed in the 70s, he had to use punch cards. Then in the 80s, it was C, Turbo Pascal, and Borland C++; in the 90s we slowly got into GUI design with Visual C++ and Visual Basic; then, in the 2000s, modern IDE came, and later we had Stackoverflow, cloud-first development,... Software development has changed a lot over the past decades, and it will change rapidly in the next few years. Development of a complex system will be more like drag and drop boxes of logic, where the IDE will help you to design the details of the integration and adjust little logic. Software development will move more and more toward system development, and details will be more abstracted away. So, software development will move from coding to more and more of a solution and system design.

Thanks for the video, Nick. Did you try the new Bing Chat and compare it with GPT-4? Just curious about the differences.

As a team lead the main skills I look for in any developer of any level is problem solving skills, clear communication and clean code skills. And more often than not developers really struggle on these (even seniors) and that is what is causing delays and badly designed solutions. So chat gpt is not a threat to those who have or cultivate these skills, but it is a threat for those developers who don't and think writing boilerplate and inefficient/unadapted/unmaintainable lines of code is the only thing they are paid for.

It would be interesting to understand how the changes and improvements of GPT-4 actually work under the hood. However, the 80+ page apparent "research" paper that was released only states that it "works a lot better," but has absolutely no information on how the new features actually function. It feels more like a sales and marketing material than an actual research paper. OpenAI is being somewhat disingenuous, which is similar to ChatGPT's tendency to make believe things that are untrue at times. There are also questionable safety concerns that are restrictive to others who are less privileged. While it is understandable that a company wants to make money, they should not claim to be "open" or open-source when they are not. OpenAI should be more transparent or be called out for this deceptive tactic, as demonstrated in the little poem it ironically made with its release.

Is it possible to ask chatGTP for references? The first dotnet api project looked very much like one of the templates that comes with dotnet/visual studio, or the official documentation. Could you do a comparison of how quickly you would find similar information with a google search/documentation lookup?

Here is a pro tip if you have chatgpt run out of tokens on script. You copy the last bit of code and write "could you finish writing this code" and it will pick up were it left off. Also this can write G-code for cnc or 3d printers

Nick, this is just the months after the previous model. How does your velocity improvement compare?

I think you need to get started on a course to teach us how to manage our new ChatGPT4 employees. I don't see this a job ending moment. This is the moment when the scope of the software which small teams can write, explodes out to a previously unreachable scale.

I've been programming for 45+ years. This is scary and exciting. It's similar but so much more than when SQL fist appeared and even more than when desktops first hit our offices! Embrace it.

True, it may help with productivity, but I still think is important to have this juniors and mids getting familiar with the stuff even if it takes them longer. Learning and getting pro takes time. Its the only way to make sure we keep having great seniors in the future.

I like the way you prompt GPT-4! Do u have any recommendation for an ChatGPT prompt extension?

my favorite response to GPT is "if i knew everything on the internet i could do this too"

AI is replacing everything, honestly, in a few years time you're gonna be able to put a few statements in and get a whole movie out of it - this is the ultimate pandora's box. With regards to dev, in future you might not have several junior devs, you'll have AI administrators. The day you can upload a legacy code repository to an AI and ask it to re-write it all, that's the day it is over for most developers

That is true. Context lenght is really huge compared to 3.5, after an hour of chatting, it can still recall the initial prompt amd make a summary of everything. At the end of the session, you can ask it to generate a prompt that collects all reguirements from numerous separate prompts and answers. I'm blown away too. I wish they revealed how to keep context alive so well in API version too. Im pretty sure they use some sophistocated way of "compressing" chats...

Nice knowing y'all. What do you guys plan to do now that your job has been rendered obsolete?

For me, the feeling is like the world changed yesterday, like the first time I've browsed the internet...

The scary thing as you pointed out is, that companies are indeed opportunistic. It might not be impossible, but all of a sudden become much harder for junior-devs to dive into a job or to receive a good payment, since they need to compete against an AI, that does the same job (and more) for just a few bucks per month. So even if it is right, that you'll still need some seniors to review the code I see kind of a "gap" that needs to be filled to get there. I mean yeah, you might still need some junios, but much less since a fairly good amount of their work can be done bei ChatGPT. I'm not only scared but panicking a bit about this.

What I am interested in is how big of a code base GPT-4 can handle. Because the examples we provide it with are small maybe a few 100 lines of code.

Brilliant! Thanks!! :) How can I get ChatGPT Plus? I see there's a waiting list.

My own experience with GPT-4 is that it is very good at webdev but not nearly so much at appdev. It's really good at doing simple tasks, but still fails pretty hard with very complex tasks. It's an amazing tool, but it doesn't feel like it's going to make me obsolete any time soon.

This is so scary xD As someone still in school deciding what I want to do as a profession, I'm worried anything I decide upon will be replaced by such AI, in a few years, I see it as a totally real scenario.

Nice video Nick, I hope to meet you at NDC Oslo and discuss applications of GPT to do coding tasks. Some of the code in my talk is generated by GPT, I think all developers should embrace this.

As for the job industry. I feel it’s a matter of time before cloud computing AI is being fed tasks through individual contracts/companies instead of physical developers. At this point the training data will be isolated and privately trained for that contract/company. Any hint of that is the beginning of a interesting period.

A new wave will come: Instructional programming.

Even if AI were to replace developers there will still be work for us to do. As Nick said, it will take someone behind the wheel to guide it. Probably our jobs will just evolve.

if u have told that the LLM can write a code this efficiently and do can have this amount of logical reasoning 5 years before we would have though it's impossible and not to mention this happening so fast and microsoft running with it integrating this into every product there no denying that in next 5 years almost 90% of the software work (including data science tuff) will be handle by AI

I am right there with you Nick excited, scared, terrified, super optimistic. So many ramifications..

Insanely impressive. Naturally it's fed with the knowledge and know-how of many experienced developers and of course the actual (then) up-to-date documentation. It can, for now (hopefully?), go only as far as the knowledge that is out there. From my point of view it's not a creator of ideas like authors, artists, programmers and alike are. Sigh. However, I can see this replacing many mundane tasks in the future and I have to admit that I frequently use the the less than perfect 3.5 version to give me simple answers to questions I am too lazy to transform into a decent goal oriented Google query. I am using it to learn different packages for C# and I have to say it has definitely sped up my learning curve and seeing how correct it is, it has given the confidence to implement suggestions as my own while learning the why's and how-to's at the same time. @Nick: Tom Scott has an excellent video on the curve that AI is on now. Just like the curve we've seen with PC's, mobiles and even the internet. Where we will end up? Nobody knows, but I am excited!

Generating a basic crud app is not impressive, you can google the same stuff. It would be impressive if: You take a big project with messy code, analyze it and implement a new business feature without damaging your employer's business. And also make it testable and future-proof. That would be really magnificent.

You mentioned about this not making our jobs redundant, I agree, it had to be trained on something, if we stop coding and making advances the model will stop too, so we would hit a bottleneck.

This is insane. I'd be interested to know how accurate this is. With GPT3.5, I've sometimes seen a few mistakes in the code that you'd need a developer to debug. Is GPT4 more accurate?

It's amazing how these technologies are improving day by day. And terrify too

I literally almost cried. 4 years wasted! Why even keep studying? 😭🤬. I didn't even know what the heck you were talking about IRC LI... whatever. But it did...just wow. I just don't know anymore.

in ChatGbBT conversation question : ai is more likely to replace front end or backend development AI is unlikely to replace either front-end or back-end development completely, but it may have an impact on some aspects of these roles. In terms of front-end development, AI can assist with tasks such as automating layout design, generating code, and optimizing website performance. For example, AI can be used to analyze user behavior and generate personalized layouts that improve user engagement. As for back-end development, AI can be used to improve the efficiency of processes such as data analysis and machine learning. For example, AI algorithms can be used to process large amounts of data and make predictions based on that data. However, AI is unlikely to completely replace human front-end or back-end developers, as these roles require creativity, problem-solving skills, and a deep understanding of user needs and business goals. While AI can assist with certain aspects of development, it cannot fully replicate the human expertise and judgement required to create effective, user-centered applications. Also : so basically it will reduce junior developer roles It's possible that the integration of AI into development processes could lead to a reduction in some junior developer roles that involve more repetitive or lower-level tasks. However, AI is not a substitute for the skills and experience of human developers, and it is likely that new roles will emerge that require a combination of both AI expertise and human creativity. In addition, as AI becomes more prevalent in development, it may actually increase the demand for skilled developers who can effectively integrate and manage AI systems within their applications. AI can bring significant benefits to development, but it still requires human oversight and management to ensure it is used effectively and ethically. So, while it's possible that some junior developer roles may be affected by the integration of AI, there are also opportunities for new roles and growth in the industry as a whole. -------------------------- We don't have to panic as developers. we just need to understand how we can benefit for this amazing technology and use it to help us. Sure many things will change and those who are not willing to adapt will find no place in the new world of AI.

Depends.....if you try to use some update Python modules GPT fails. You have to do a lot of fixes to have the code working in the end.

ChatGPT was trained on Azure servers and it is run on Azure servers. The bias in this case might be natural byproduct or intentional part by the model trainers.

“This is gonna save me so much time!” Yeah, I think you’ll have a lot of free time pretty soon 😂

Every single time ive used chat gpt its outputting garbage code. I remember using it outside of code for some jujitsu advise and it told me to do something that would have dislocated my shoulder.

This is the end of the McJobs and maybe finally the golden age of the Seniors who can interrogate in English GPT-4 and the following ones. There will always be a need for seniors capable of interrogating AIs and supervising the answers, or even modifying them. But for the juniors it is done, we can do without them... And in this case, how will the juniors become the next seniors if they are no longer bankable on the job market? It raises a lot of questions and it's very exciting (even if it's also a bit worrying...)!

I don't think this will "replace" anyone, it will become a resource for developers to use, just like stack overflow or any other repository of information. It will help to make us more efficient and allow us to focus on larger problems dealing with the specific domain of our application.

Technically juniors are not needed anywhere, BUT you want at least middles or better seniors, which don't spawn from thin air. So worrying about chatgpt replacing juniors is irrelevant imo. It can significantly ease mentoring process though.

Old chat GPT would take about 10-11 interactions to get me the correct code for my web app, but now this new GPT-4 does it in 2-3 interactions which is a huge leap. If I point out that the code is missing some features, it would apologize and give me the updated code and it worked right away. Old GPT would take at least about 10-11 back-and-forth interactions before it got it right. I don't think it'll replace human programmers as the code it gives still needs a lot of tweaking, but it surely is going to minimize the stress level of the all-desk job workforce.

This is good for bootstrapping and unit/module development, but it really doesn't have forensic ability, or handle any situations where the input size is huge (can I point it at my repo?) So you are fine until you run off the rails.

chatGPT made me thinking that my future job is working at McDonalds or some sh*t

I think you nailed the analysis - amazing responses BUT yes it needs to be reviewed and tweaked. an incredible bootstrap! additionally would like to add though : remember it is delayed learning and relies on our own industry of developers and testers to generate new content posted to public Internet otherwise it won’t learn new technologies and best practices

I don't know guys, tried to use it at my job and in two weeks it helped me only once in simple task, chat don't know the context, legacy app limitations business rules etc. However sometimes it save time and some responses are really impressive

7:00 to 8:00 you explain perfectly how this IS killing Jobs! Who do you think did fix the bug normaly. WHat is his/her job if chat gpt is fixing the bug?

First you get rid of juniors and middles and then suddenly you have no seniors