How is this helpful? Not everyone can keep up with the rapidly shifting world of AI; it's worse than JavaScript. People have day jobs that don't revolve around

How is this helpful? Not everyone can keep up with the rapidly shifting world of AI; it's worse than JavaScript. People have day jobs that don't revolve around AI and don't have the bandwidth to devote endless hours trying to keep up, while still getting work done that makes money for the business they're in. I read through the article and it provided a lot of helpful information on the pitfalls with LLMs which, based on the title, is its intended purpose. I didn't take it as a shining recommendation for LangChain. If your point is that suggesting LangChain means they're not keeping up, as someone else stated, and because of that the other information is probably dated as well - that's far more helpful. I wouldn't mind seeing a current guide on pitfalls and practical examples of interacting with LLMs with raw python - from someone who "has a clue".