LLMs in the application layer
Since LLMs do not natively enjoy video (digesting every frame bloats context, most LLMs do not even accept audio input), I found the pursuit of composing LLMs in the application layer to improve output quality in a space known for slop to be interesting.
Open Source
I think that walking into a popular repository as an unaffiliated contributor and seeing where you stand is a fun thing to try.
With LLMs, it's easier than ever to generate a working PR but harder than ever to actually have that PR land in very popular repositories. It's even harder to land PRs that go beyond straightforward implementations or simple bug fixes and actually audit the engineering rigor of a codebase. My favorite contributions are the ones that remove code, audit engineering practices, and dictate how code should be LLM reviewed.
There are also some other UX improvements of mine I liked, and I really enjoyed talking to users who filed issues that pertained to areas of the codebase I knew very well.
For the full list see all my merged PRs.
I have a few standard contributions to the AI SDK. They are OK.
For a full list of PRs see all my merged PRs.