I've been fighting against the AI detractors for quite a while now but they refuse to see the light. The reason you're seeing AI everywhere is simply because LLM augmented workflows give you _obscene_ efficiency boosts. You need 500 pages of docs updated? Done. You need a thousand edge case tests written? Done. You need red team threat assessments plus adversarial attack writeups? Done. You need to semantically refactor X lines of code or hook up forty different API endpoints? Done. All practically done in an instant (well thirty or so minutes depending on the model). I've been following certain open source projects (won't name them due to brigading and for privacy reasons) that are 100% LLM generated. Meaning full self-healing infrastructure, automated tests, agents spawning off of agents... They're making _literally_ (and this is not hyperbole) 100 to 200k LoC changes _per week_ with a team of like one to two people. If you look at Bun, which at this point is essentially the poster child for a pure LLM developed project, and take a peep at their Github insights, you'll see this

"Excluding merges, 49 authors have pushed 243 commits to main and 6320 commits to all branches. On main, 1551 files have changed and there have been 165,176 additions and 35,130 deletions". This kind of code velocity is _literally impossible to recreate by humans alone_. Straight impossible. Which is why over time every company that wants to stay remotely competitive will have to switch to it.