SWE-DIVE: Multi-Turn Coding Agent Evaluation with Dynamic User Simulation
Coding agents are typically evaluated using one-shot, well-formulated prompts. Benchmarks such as SWE-bench use existing GitHub issues as input for a coding agent and evaluate whether the agent successfully solves the task. However, in real-world use cases, prompts are often not as well-formulated or structured as existing GitHub issues. Additionally, a coding agent session is not limited to a single prompt; it typically involves a multi-turn interaction in which the user iteratively adds new tasks and requirements that the agent must fulfill. To benchmark these abilities, we developed SWE-DIVE, a dynamic, interactive validation and evaluation framework for benchmarking coding agents in a...
| Authors | Lorenz Brehme, Benjamin Steenhoek, Ruth Breu |
|---|---|
| Primary category | cs.SE |
| Published | 21 October 2026 |
| Last updated at source | 21 October 2026 |
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