Cody is more like a wrapper on top of GPT API (gpt-3.5-turbo) endpoint, with related code snippets embed in prompt. It’s not competing the low latency scenario that Github Copilot seats in.
There’re recent works show a potential of beating Copilot’s performance (e.g https://arxiv.org/abs/2303.12570) with much smaller models (500M vs 10B+).
Inspired by these work, I’m building Tabby (https://github.com/TabbyML/tabby), a OSS GitHub Copilot alternative. Hopefully it could make low cost AI coding accessible to everyone.
We don't have autocomplete yet, which is what Copilot is mainly used for. But we're working on it, with the same context-aware mechanisms that provide a quality lift on the Q&A side.
There’re recent works show a potential of beating Copilot’s performance (e.g https://arxiv.org/abs/2303.12570) with much smaller models (500M vs 10B+).
Inspired by these work, I’m building Tabby (https://github.com/TabbyML/tabby), a OSS GitHub Copilot alternative. Hopefully it could make low cost AI coding accessible to everyone.