GitHub announces a bunch of new GPT-4 powered coding assistants. What should and could Emacs and open-source community do?

This page summarizes the projects mentioned and recommended in the original post on /r/emacs

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  • - Copilot X: https://github.com/github-copilot/chat_waitlist_signup/ (basically a chat buffer)

  • llama.cpp

    LLM inference in C/C++

  • There are some "open-source" alternatives for the open-AI generative LLMs there, like LLAMA https://github.com/ggerganov/llama.cpp trained and leaked by Meta, and made available in c++ and actually runnable even on a MacBook Air. Sure it's not as great as Codex, GPT-4 and such, but it's a start (there are also open datasets with lots of code https://huggingface.co/datasets/bigcode/the-stack, so maybe in the future the gap will close).

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • codeium.el

    Free, ultrafast Copilot alternative for Emacs

  • It's perhaps worth mentioning Codeium which works in the same space and there's Emacs support.

  • gptai

    OpenAI API toolings for emacs. Allows interacting with various GPT and DALL-E Models directly in emacs

  • Gonna plug this because it seems relevant, my package, gptai.el is aimed at being extended and would be a good starting off point for such a project as a copilot coding partner for emacs. This package is available through MELPA and has a good wiki on the github.

  • copilot.el

    An unofficial Copilot plugin for Emacs.

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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