Most of my time goes to Sequence right now. It’s a canvas where you draw a system’s architecture as a graph, an agent scaffolds the repo from it, and a CI check fails the build the moment the code drifts from the design. I’ve written it up in the deep dives.
At SCHWAI I’m building Project Brain, the company’s internal knowledge base. It’s DevOps and MLOps work end to end: the backend, the ingestion workers, and open-source models reading the company’s own corpus. It gets more useful the more people lean on it, which is the whole idea.
The bigger goal underneath all of this is research. I want to work on the models themselves, build them, modify them, and figure out the best way to use them as agents. My current answer to that last part is graphs: feed an agent structured, deterministic data and it builds the right thing instead of guessing.
I lean open-source wherever I can this year. Models I can run, read, and change beat an API I can only call.
And I’m still a CS student at York, with school as the steady background process behind all of it.