daemon_9009

LLMs introduce easy to miss bugs in the code, it could be either incomplete context or improper instructions. telling from my experience, asking LLMs everytime when some bugs are found in the code, is not only expensive but also it de moralizes you as an engineer. vibe coding the entire project, destroys the maintainablity of the project by humans, token selling companies will always sell idea that you can write more code with LLMs, but what good is that code if it will fail in production? isn't it consumerism? definetely it is! If you think coding is solved then you are one step closer to the disaster.

It's just the beef between musk and Altman, nothing to do with the models.

back in college i used to stream family guy on my ipad, but now i just play some piano

compare this to Electronic engineering, we are not making chips by hand, It is impossible to squeeze too many transistors in such a small space, we just create the circuit designs. I believe writing the code is heading in the same direction as well, you don't write too much code now, but you have to design the architecture and connect things. But it does not mean that you don't need to understand the code, now of all the times people who understand code are more important. Many below par devs will loose jobs for sure.

> >layoff developers for now we are not sure what is gonna happen. Big tech is surely reducing headcount to invest more in AI. but with recent downtime of github/AWS and them not blaming AI but humans, says a lot about that they will go to any extent to prove AI is bringing value enough to fire human engineers.

if we think, what is accountability? if a human would do a mistake, you would as an employer do two things: either teach him what not to do, or fire him. Same thing can be done with AI agents, if you decide to stay with the agent then teach it what not to do, this might not work 100% but to a certain level for non critical things it would work. Agents should ofc not be given consequential actions like deleting accounts at will. But the point is, once a mistake is done, it is done, be it human or an agent, you gotta teach or fire something. I don't think any other way to solve this problem

Hi, guys here are my thoughts on how software development will look in a year. what do you think about this, lets discuss.