Ask HN: How are you using LLMs in your command-line?

1. shell_gpt

   1 46 11,596 5.1 Python

   A command-line productivity tool powered by AI large language models like GPT-4, will help you accomplish your tasks faster and more efficiently.

   

   ShellGPT https://github.com/TheR1D/shell_gpt does pretty well for a lot of use cases. I mostly use it in REPL mode, switching topics as needed. I have wrappers around the `sgpt` command to, say, start a REPL with a particular topic, say, Python, which loads my previous history on that topic as part of the prompt.

   I also have an alias to save existing chats as text files so I can go back and review history.

   Finally, there is an alias to load a question up in an editor if I need to enter multiline text, e.g. to discuss code fragments, etc.

   I expect command-line workflows to be pretty individualized and I'm curious what others do. For me (old programmer), using a command line REPL feels much more natural (and blissfully noise-free) than going to a Web page to talk to, say, ChatGPT.

2. InfluxDB

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   InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

   

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