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Paper · arXiv

Coding-Agent Benchmarks Should Match Their Users' Task Flows

The evaluation of coding agents generally strives to be as realistic as possible. In our study, we collect 4,782 agent sessions of real software engineers in JetBrains IDEs, which we call Production Sessions. Since our subject is interactive agents, we study the sessions with at least three user messages (33% of the sample). These long sessions differ from issue-derived benchmark tasks in two ways: (i) user requests span a far wider mix of task types - questions about the project's code, planning, review, refactoring, execution - and (ii) users switch between types throughout a session. Long-session samples from three public interaction corpora exhibit markedly different Task Flows (the d...

AuthorsIgor Slinko, Yaroslav Golubev, Sergey Titov
Primary categorycs.LG
Published7 October 2026
Last updated at source11 October 2026
cs.LGcs.AIcs.CLcs.SE
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