| Play it out Let's assume today a LLM is perfectly equivalent to a junior software engineer. You connect it to your code base, load in PRDs / designs, ask it to build it, and viola perfect code files 1) Companies are going to integrate this new technology in stages / waves. It will take time for this to really get broad adoption. Maybe you are at the forefront of working with these models 2) OK the company adopts it and fires their junior engineers. They start deploying code. And it breaks Saturday evening. Who is going to fix it? Customers are pissed. So there's lots to work out around support. 3) That problem is solved, we can perfectly trust a LLM to ship perfect code that never causes downstream issues and perfectly predicts all user edge cases. Never underestimate the power of corporate greediness. There's generally two phases of corporate growth - expansion and extraction. Expansion is when they throw costs out the window to grow. Extraction is when growth stops, and they squeeze customers & themselves. AI is going to cause at least a decade of expansion. It opens up so many use cases that were simply not possible before, and lots of replacement. Companies are probably not looking at their engineers looking to cut costs. They're more likely looking at them and saying "FINALLY, we can do MORE!" You won't be a coder - you'll be a LLM manager / wrangler. You will be the neck the company can choke if code breaks. Remember if a company can earn 10x money off your salary, it's a good deal to keep paying you. Maybe some day down the line, they'll look to squeeze engineers and lay some off, but that is so far off. This is not hopium, this is human nature. There's gold in them hills. But you sure as shit better be well versed in AI and using in your workflows - the engineers who deny it will be the ones who fall behind |