Projecting the Emerging Mindset of SWE Agent by Launching a Wild Code Understanding Journey
Software engineering agents (SWE agents) increasingly work through tool-mediated trajectories in real repositories, yet their behavior remains difficult to characterize in concrete, observable terms. These trajectories record tool use, intermediate reasoning, evidence selection, and self-directed stopping, but they do not by themselves explain why particular moves were chosen, what evidence was trusted, or when understanding was judged sufficient. This tension makes trajectory data both limited and valuable: faithful, replayable traces can become an empirical substrate for studying agent behavior when interpreted through disciplined observation. We introduce Ada, a scoped apparatus for re...
| Authors | Zhengyi Zhuo, Yan Liu |
|---|---|
| Primary category | cs.SE |
| Published | 7 June 2026 |
| Last updated at source | 7 June 2026 |
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