SeaGOAT VS lightrail

In this blog post, I’ll be comparing 3 distinct AI-first code search tools I recently came across: Cody (developed by late-stage startup, Sourcegraph), SeaGOAT (an open-source project that was trending on HN last week), and Bloop (an early-stage YC startup). I’ll be evaluating them along the dimensions of user-friendliness as well as their accuracy.

Ruby (.rb)

https://github.com/kantord/SeaGOAT#what-programming-langauge...

I've been using & contributing to Lightrail (https://github.com/lightrail-ai/lightrail). Each instance comes with a local vectorDB and integrates with apps like Chrome & VSCode, so I can read in content like my notes, emails, etc. It doesn't support self-hosted LLMs yet unfortunately!

Looks cool! I've been using & contributing to Lightrail (https://github.com/lightrail-ai/lightrail). It's more dev-focused but hopefully, it's developing in a similar direction (long-term memory/context, integrations, etc) while still being local-first / OSS. I definitely think we're heading for a future where persistent AI assistants play a big role, and I'm really hoping the ones that win out are more open & private!

Not the GP, but I've been working on an open platform for integrating OpenAI APIs with other tools (VSCode, JupyterLab, bash, chrome, etc) that you might find interesting, [repo here](https://github.com/lightrail-ai/lightrail), the VSCode integration supports editing specific files / sections etc.

Also worth taking a look at [Github Copilot Chat](https://marketplace.visualstudio.com/items?itemName=GitHub.c...), it's a bit limited but in certain cases it works well for editing specific parts of files.

Lightrail: https://github.com/lightrail-ai/lightrail

Basically, I think that LLMs will enable a whole new set of app UXes, and I'm trying to build a platform for those UXes. In a sense, a "shell" for LLM apps. It's a command-bar style UI with an SDK that makes it really easy to build functionality on top of LLMs / vector-dbs etc and to interact with other software/files (e.g. VSCode, Chrome, etc.). Currently very limited docs but if you're interested in building LLM workflows/tools, I'd love to collab!

For me, my favorite was Bloop — it did a better job of not hallucinating, and I preferred the UX. As an aside, I found that using this in combination with Github Copilot or Perplexity was a little bit frustrating — I’m constantly switching between different tools for the same project. I keep wishing for one tool that can wrap all of this functionality and context within one entry point. I've been exploring some of these ideas in Lightrail, but it doesn't include code search (as we discussed, that's a more complex challenge than code generation). Nevertheless, I'm excited about the possibilities in the field. Thanks for reading so far - I'd love to hear your thoughts and ideas on this!

Hosted version: lightrail.ai!

Feel free to give it a try and let me know what you think / what features you'd like to see! It’s just a prototype right now, but I’m working on making the code generation faster and adding OpenAI’s function calling. If you're interested in contributing, the repo is linked here. Hope you all like it!