cody VS Ghost

> Because of the language-specific nature of this heuristic, we generally do not support multi-line completions for all languages. However, we’re always happy to extend our list of supported languages and, since Cody is open-source, you can also contribute and improve the list. (link to https://github.com/sourcegraph/cody/blob/main/vscode/src/com...)

That link to the list of supported languages is broken. I couldn't find a similar file elsewhere in the repo: maybe the list got folded up into a function in another file? Also a bit annoying that I couldn't find the info on the company's website (though I gave up pretty quickly).

I don't think it is. There is a test file which includes C#, Kotlin, etc among supported languages, which aren't included in the file you linked: https://github.com/sourcegraph/cody/blob/main/vscode/src/com...

But this test didn't seem to include TypeScript so it's obviously not comprehensive. I'm not convinced this information is actually in one place.

This should be the correct link: https://github.com/sourcegraph/cody/blob/main/vscode/src/gra...

Cody (https://github.com/sourcegraph/cody) supports using Ollama for autocomplete in VS Code. See the release notes at https://sourcegraph.com/blog/cody-vscode-1.1.0-release for instructions. And soon it'll support Ollama for chat/refactoring as well (https://twitter.com/sqs/status/1750045006382162346/video/1).

Disclaimer: I work on Cody.

Have you tried Cody (https://cody.dev)? Cody has a deep understanding of your codebase and generally does much better at code gen than just one-shotting GPT4 without context.

(disclaimer: I work at Sourcegraph)

3️⃣ Cody AI 🤖

Author of the post here—as another commenter mentioned, this is indeed a bit dated now, someone should probably write an updated post!

There's been a ton of evolution in dev tools in the past 3 years with some old workhorses retiring (RIP Phabricator) and new ones (like Graphite, which is awesome) emerging... and of course AI-AI-AI. LLMs have created some great new tools for the developer inner loop—that's probably the most glaring omission here. If I were to include that category today, it would mention tools like ChatGPT, GH Copilot, Cursor, and our own Sourcegraph Cody (https://cody.dev). I'm told that Google has internal AI dev tools now that generate more code than humans.

Excited to see what changes the next 3 years bring—the pace of innovation is only accelerating!

I'm sorry to hear that. We have made a lot of improvements to Cody recently. We had a big release on Oct 4 that significantly decreased latency while improving completion quality. You can read all about it here: https://about.sourcegraph.com/blog/feature-release-october-2...

We love feedback and ideas as well, and like I said are constantly iterating on the UI to improve it. I'm actually wrapping up a blog post on how to better leverage Cody w/ VS Studio, that'll be out either later today or sometime tomorrow. As far as feedback though: https://github.com/sourcegraph/cody/discussions/new?category... would be the place to share ideas :)

Ollama is awesome. I am part of a team building a code AI application[1], and we want to give devs the option to run it locally instead of only supporting external LLMs from Anthropic, OpenAI, etc. Those big remote LLMs are incredibly powerful and probably the right choice for most devs, but it's good for devs to have a local option as well—for security, privacy, cost, latency, simplicity, freedom, etc.

As an app dev, we have 2 choices:

(1) Build our own support for LLMs, GPU/CPU execution, model downloading, inference optimizations, etc.

(2) Just tell users "run Ollama" and have our app hit the Ollama API on localhost (or shell out to `ollama`).

Obviously choice 2 is much, much simpler. There are some things in the middle, like less polished wrappers around llama.cpp, but Ollama is the only thing that 100% of people I've told about have been able to install without any problems.

That's huge because it's finally possible to build real apps that use local LLMs—and still reach a big userbase. Your userbase is now (pretty much) "anyone who can download and run a desktop app and who has a relatively modern laptop", which is a big population.

I'm really excited to see what people build on Ollama.

(And Ollama will simplify deploying server-side LLM apps as well, but right now from participating in the community, it seems most people are only thinking of it for local apps. I expect that to change when people realize that they can ship a self-contained server app that runs on a cheap AWS/GCP instance and uses an Ollama-executed LLM for various features.)

[1] Shameless plug for the WIP PR where I'm implementing Ollama support in Cody, our code AI app: https://github.com/sourcegraph/cody/pull/905.

Awesome. The repository is at https://github.com/sourcegraph/cody for anyone who hasn't seen it yet.

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