LLM-Repl VS gish

I played around with the idea of creating a TUI for chatGPT as well but I gave up because of the lack of multi line support in textualize. I created a REPL instead using rich. If you wanna give it a shot you can find it at https://github.com/Phat3/LLM-Repl

I've had good luck with both:

https://github.com/drorm/gish/blob/main/tasks/coding.txt

and

https://github.com/drorm/gish/blob/main/tasks/webapp.txt

With the second one, I reliably generated half a dozen apps with one command.

Not to say that it won't fail sometimes.

Well, if you're interested in something more lite-weight, I wrote

https://github.com/drorm/gish

which is a shell command that lets you interact with GPT with flags, pipes, etc. in a much more unixy way.

This TUI has some impressive features, like the bots and plugins, but I feel gish covers most of the use cases, specifically for software development.

GPT is significantly better at modifying code when following this "all code in, all code out" pattern. This pattern has downsides: you can quickly exhaust the context window, it's slow waiting for GPT to re-type your code (most of which it hasn't modified) and of course you're running up token costs. But the ability of GPT to understand and execute high level changes to the code is far superior with this approach.

I have tried quite a large number of alternative workflows. Outside the "all code in/out" pattern, GPT gets confused, makes mistakes, implements the requested change in different ways in different sections of the code, or just plain fails.

If you're asking for self contained modifications to a single function, that's all the code that needs to go in/out. On the other side of the spectrum, I had GPT build an entire small webapp using this pattern by repeatedly feeding it all the html/css/js along with a series of feature requests. Many feature requests required coordinated changes across html/css/js.

https://github.com/paul-gauthier/easy-chat#created-by-chatgp...

Another HN user has also released a command line tool along these lines called gish:

https://github.com/drorm/gish