> Due to that, and because it's a popular an open source alternative, I want to be able to recommend it and be enthusiastic about it. The problem for me is that

> Due to that, and because it's a popular an open source alternative, I want to be able to recommend it and be enthusiastic about it. The problem for me is that the development practices of the people that are working on it are suboptimal at best; This is my experience with most AI tools that I spend more than a few weeks with. It's happening so often it's making me question my own judgement: "if everything smells of shit, check your own shoes." I left professional software engineering a couple of years ago, and I don't know how much of this is also just me losing touch with the profession, or being an old man moaning about how we used to do it better. It reminds me of social media: there was a time where social media platforms were defined by their features, Vine was short video, snapchat was disappearing pictures, twitter was short status posts etc. but now they're all bloated messes that try do everything. The same looks to be happening with AI and agent software. They start off as defined by one features, and then become messes trying to implement the latest AI approach (skills, or tools, or functions, or RAG, or AGENTS.md, or claws etc. etc.)