Analyzing Failure Trajectories in CLI Coding Agents
dair_ai · x · 2026-07-14
This research breaks down the failure process of **CLI coding agents** into three stages: - **Onset**: The exact moment the task begins to go wrong - **Evolution**: How errors progressively accumulate - **Irrecoverable point**: When the failure becomes unsalvageable The author notes that traditional reliability metrics typically only look at the final outcome, ignoring the intermediate trajectory. The value of this large-scale study lies in answering two crucial questions: **exactly which step the failure originates from**, and **which tasks could still be rescued with early intervention**. For anyone building or overseeing coding agents, this analysis is far more actionable for designing checkpoints, monitoring, and intervention strategies than simple pass rates.
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