Really impressed by how professional and efficient this collaboration with @OpenRSI has been. The OpenRSI team showed very strong execution, and these three upstreamed optimizations also gave us a useful glimpse of what software agents can already do under a strong supervision loop. With clear tasks, isolated evaluation, maintainer review, and measurable performance targets, the agents were able to satisfy most of what we care about in both code quality and systems performance. Human supervision is still essential today. But the encouraging part is that much of this supervision can be systematized. Good documentation, explicit constraints, reproducible benchmarks, and clear acceptance criteria can dramatically reduce how often a human needs to step in. That may be one of the most important lessons here: making agents more autonomous is not only about making the model smarter. It is also about making the environment easier to supervise. We are excited to keep working with @OpenRSI and gradually move toward tasks with weaker supervision. That is where things may get really interesting.