ByteDance Seed Paper Introduces HarnessDev Agent Method

Elvis Saravia posted about HarnessDev, a ByteDance Seed paper on arXiv. The approach shifts evaluation from a model's task outputs to the runnable agent harness it creates. An agent begins with a weak seed harness and a few examples, then builds and iterates on the full execution infrastructure itself. Saravia called the work a banger worth bookmarking for anyone interested in self-evolving agent setups. The paper lists Yuhao Wu and a multi-institution team as authors and is also hosted on dair.ai.