This is very cool! I’ve wanted something like CodeMic for a long time.
Back when I was at Twitter, we used Review Board for code reviews (this was in 2009, before GH was a thing for most companies). It was tough to thoughtfully review large branches, especially for parts of the codebase that I wasn’t familiar with. I remember thinking, if I could somehow record the development process for a PR I was reviewing, it would be easier to understand what the submitter was trying to accomplish and how they went about doing so. I found myself more so reviewing code style instead of functionality, architecture, or design.
I watched most of the intro video, but didn’t go deeper on the site. Does CM integrate easily into the code review/PR process? I suppose I could just attach a link in any PR description?
This is super cool. One neat idea: when I'm in offline mode, I can clone my voice, provide some context data/sources, and have my AI clone answer calls for me. It can give me a summary of conversations it had each day and allow me to follow up.
Heh, actually I'm pretty sure I've come across your X profile before. :) You're definitely in a small minority of folks with a deep(er) understanding of WebRTC.
You really don’t need to know about WebRTC at all when you use LiveKit. That’s largely thanks to the SDKs abstracting away all the complexity. Having good SDKs that work across every platform with consistent APIs is more valuable than the SFU imo. There are other options for SFUs and folks like Signal have rolled their own. Try to get WebRTC running on Apple Vision Pro or tvOS and let me know if that’s no big deal.
In most real applications, the agent has additional logic (function calling, RAG, etc) than simply relaying a stream to the model server. In those cases, you want it to be a separate service/component that can be independently scaled.
It's using the same model/engine. I don't have knowledge of the internals, but a different subsystem/set of dedicated resources though for API traffic versus first-party apps.
One thing to note is there is no separate TTS-phase here, it's happening internally within GPT-4o, in the Realtime API and Advanced Voice.