[kseniamorph]

The self-reinforcing effect here was somewhat predictable given how LLMs are trained. The more repositories and AI blogs recommend the same tools, the more those patterns get locked in through training data. This makes market entry increasingly difficult for new tools. I know that the "optimize for bots, not humans" strategy already exists, but I'm skeptical it works at meaningful scale. The training data collection is opaque, proprietary, and the volume a new project can generate is incomparable to what established tools produce organically. So I have a bad feeling about the future...