Failure as a Process: An Anatomy of CLI Coding Agent Trajectories
Large language model (LLM) coding agents are increasingly deployed to autonomously perform software engineering tasks in terminal-based environments, making their reliability a growing concern. Existing empirical studies investigate why coding agents fail, yet they largely treat failure as a final outcome rather than a temporal process, providing limited insight into how failures emerge, evolve, and become unrecoverable. We present the first large-scale empirical study of CLI coding-agent failure trajectories, introducing a process-oriented framework that analyzes failure through its onset, ev
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
- Linked via arxiv authorXiangxin Zhao →
Failure as a Process: An Anatomy of CLI Coding Agent Trajectories
- Linked via arxiv authorZihan Liu →
Failure as a Process: An Anatomy of CLI Coding Agent Trajectories
- Linked via arxiv authorShuaiting Li →
Failure as a Process: An Anatomy of CLI Coding Agent Trajectories
- Linked via arxiv authorTianyi Zhao →
Failure as a Process: An Anatomy of CLI Coding Agent Trajectories
- Linked via arxiv authorEarl T. Barr →
Failure as a Process: An Anatomy of CLI Coding Agent Trajectories
- Linked via arxiv authorFederica Sarro →
Failure as a Process: An Anatomy of CLI Coding Agent Trajectories
- Linked via arxiv authorHe Ye →
Failure as a Process: An Anatomy of CLI Coding Agent Trajectories