gp.nvim
geppetto
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
gp.nvim
- Gp.nvim: Neovim plugin ChatGPT text/code operations and Speech to text
- Emacs-copilot: Large language model code completion for Emacs
-
LLMs are a revolution in open source
Here's one example: Today I used GPT-4 to write documentation for a Neovim plugin: https://github.com/Robitx/gp.nvim/pull/72/files
It may be a fancy Markov chain, but it seems to have understood the code it documented.
-
ggVG+command or have dedicated commands for whole buffer?
Update: Solved thanks to the u/geckothegeek42 nudge in the right direction.
-
gp.nvim - yet another plugin integrating GPT with OpenAI API into neovim
Long story short - I didn't like available options, tried forking and bending, but eventually made one from scratch under MIT license => https://github.com/Robitx/gp.nvim
geppetto
-
Bash One-Liners for LLMs
I'm heavily using https://github.com/go-go-golems/geppetto for my work, which has a CLI mode and TUI chat mode. It exposes prompt templates as command line verbs, which it can load from multiple "repositories".
I maintain a set of prompts for each repository I am working in (alongside custom "prompto" https://github.com/go-go-golems/prompto scripts that generate dynamic prompting context, i made quite a few for thirdparty libraries for example: https://github.com/go-go-golems/promptos ).
Here's some of the public prompts I use: https://github.com/go-go-golems/geppetto/tree/main/cmd/pinoc...
I am currently working on a declarative agent framework.
-
LLMs are a revolution in open source
(author here): I am currently writing a book about programming with LLMs, I have absolutely put my money where my mouth is over the last year, and there is not doubt in my mind that we will see incredible tools in 2024.
Already the emergent tools and frameworks are impressive, and the fact that you can make them yours by adding a couple of prompting lines and really tailor them to your codebase is the killer factor.
My tooling ( https://github.com/go-go-golems/geppetto ) sucks ass UI wise, yet I get an incredible value out of it. It's hard to quantify as a 10X, because my code architecture has changed to accomodate the models.
In some ways, the trick to coding with LLMs is to... not have them produce code, but intermediate DSL representations. There's much more to it, thus the book.
-
Build your own custom AI CLI tools
All of these examples were built in a couple of hours altogether. By the end of the article, you will be able to build them too, with no code involved.
-
LLMs will fundamentally change software engineering
I don't bother manually writing any of this data munching / API wrapping / result validating code anymore. I had to build a server-to-server integration with Google Tag Manager recently. I literally copy pasted the webpage into a simple 3 line prompt and can now generate PHP classes, typescript interfaces, event log parsers, SQL serialization with a simple shell command.
What are some alternatives?
neoai.nvim - Neovim plugin for intracting with GPT models from OpenAI
pyllms - Minimal Python library to connect to LLMs (OpenAI, Anthropic, AI21, Cohere, Aleph Alpha, HuggingfaceHub, Google PaLM2, with a built-in model performance benchmark.
chatgpt - Use ChatGPT inside Emacs
oak - GO GO PARSE YOUR CODE GO GO
emacs-copilot - Large language model code completion for Emacs
biberon - A command-line tool to work with bibliography data
gen.nvim - Neovim plugin to generate text using LLMs with customizable prompts
escuse-me - GO GO GOLEM ELASTIC SEARCH GO GO GADGET - ESCUSE ME???
cmp-clippy - nvim-cmp source for code suggestion
parka - Convert your CLI apps to APIs
nvim-config - My neovim config
majuscule