I wrote a blog post comparing Cody to Copilot a little while ago. Some of the stuff might be outdated now, but I think it still captures the essence of the diff

I wrote a blog post comparing Cody to Copilot a little while ago. Some of the stuff might be outdated now, but I think it still captures the essence of the differences between the two. Obviously I'm a little biased as I work for Sourcegraph, but I tried to be as fair as one could be. Happy to dive deeper into any details. https://sourcegraph.com/blog/copilot-vs-cody-why-context-matters-for-code-ai https://sourcegraph.com/blog/copilot-vs-cody-why-context-mat... Our biggest differentiators are context, choice, and scale. We've been helping developers find and understand code for the last 10 years and are now applying a lot of that to Cody in regards to fetching the right context. When it comes choice, we support multiple LLMs and are always on the lookout in supporting the right LLM for the job. We recently rolled out Claude 3 Opus as well as Ollama support for offline/local inference. Cody also has a free tier where you can give it a try and compare for yourself, which is what I always recommend people do :) On Neovim, Cody actually does have experimental support for neovim: https://sourcegraph.com/docs/cody/clients/install-neovim https://sourcegraph.com/docs/cody/clients/install-neovim. Not all features are supported as in VS Code though.