Let’s assume that in 10 years, AI has advanced absurdly, insanely fast, and is now capable of doing everything a Senior SWE can do. It can program in 15 different languages, 95% accuracy with almost no mistakes, can create entire applications in minutes, and no more engineers or SWEs are needed… What will all the devs do? Do they just become homeless? Transition to medical field, nursing? Become tradespeople like plumbers, HVAC?
They’re probably gonna laugh at the absurdity of the situation because some new popular language will come along and the AI will be back to pushing out broken code. That, or laugh because the code in well used languages will include a shit ton of vulnerabilities that wouldn’t be present if real devs had to double check code before pushing it out to the public.
In this hypothetical, why would we create new languages? What benefit does that have for AI-gen code?
So either we’re going to improve AI-gen to the point where we rely on it, or human devs are still important in which case new languages matter. The main exception here are languages specifically designed for AI, in which case error-rate would go down.
So either AI pushes out broken code and human devs are still important, or AI doesn’t push out broken code and new languages aren’t valuable.
Fixing broken software some robot pushed to prod
I’m not a programmer, but I don’t think I’d pay for code that was 95% accurate. That sounds buggy af
I am a programmer, and I also wouldn’t stand for that either. We also introduce bugs and are probably around that 95% rate, but at least we know the most important uses are correct and the person who introduced them can usually fix them quickly. With AI, there’s no guarantee where the bugs will occur.
You seem like someone who hasn’t really worked in software development.
Software engineering does not simply mean coding. A production grade software application goes through analysis, design, implementation (where coding happens), testing (several phases), release and maintenance. Not to mention infrastructure concerns (storage, databases, microservices, service orchestration, middleware, etc). The whole process is too nuanced and complex to conclude that AI would make the whole career obsolete. It might shake up some areas of software engineering but only a small part of it.
You’ll still need people to verify that the AI generated application actually behaves as per the business logic, runs optimally with the hardware you have and scales as your business grows. Which means engineers for testing and reviewing the generated code plus engineers to setup the infrastructure where the application will run.
engineers for testing and reviewing the generated code plus engineers to setup the infrastructure where the application will run.
That’s still a lot of software engineers displaced in the hypothetical scenario. That means you only need the devops and qa engineers, and a solution architect or principal engineer or whatever your company calls that sort of role for the analysis and design part.
They’re going to keep doing their job, good luck to some manager who thinks they can be verbose enough to get their idea across
