

i run a small browser game on a hetzner vps and for me the bots were never a load problem, it was the stats. the game shows how many people are online and every crawler that opened the live stream counted as a new player, in early october it was 28 of 61 stream opens. then a headless chromium on residential proxies, different ip every time, made 40 fake players in two days. what caught it was the Sec-CH-UA header, it said chromium 146 while the user agent said chrome 120, real browsers don’t mismatch like that. i don’t block them now, they just stop counting as people, which is kind of depressing too i guess







from the other side, i’m the cto of a small agency and i wrote our rules for working with ai, so maybe it helps. the first one is that the author answers for the code, “the model did it” is not an explanation for anyone. asking the model to review its own diff is a first pass, not a review, the same model that got it wrong is checking itself. the way i put it to the team, ai makes producing cheaper, not deciding or verifying, if you ship double with the same error rate you get double the errors. if your company only measures volume, the atrophy is more a management problem than yours, i’d push back with incidents and rework numbers, thats the language they listen to