Honestly I find LLMs to be a great tool, when using them right, and with the sufficient skills to know when they’re wrong. And for some problems, you don’t need

Honestly I find LLMs to be a great tool, when using them right, and with the sufficient skills to know when they’re wrong. And for some problems, you don’t need a 100% right answer. Earlier today I asked ChatGPT to give me a Go script to parse a Go codebase (making heavy use of Go AST libraries which I never use normally) and it gave me a 90% good solution which saved me a lot of time. To be clear the solution was non functional on its own, but it still saved me from doing exploration work and gave me a quick overview of the APIs I would need. A few days ago it helped me generate code for some obscure AWS API using aws-sdk-go-v2. It was again almost fully working, and better than the examples I could find online. I have examples like this every week. It’s not as amazing as some people say, but still pretty useful. I rejected AI stuff at first but don’t regret adding LLMs to my toolbelt.