Author

O. Sghaier

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Don’t Blame the Large Language Model: How Scaffolding Evolution Shapes Coding Agent Quality

The first controlled longitudinal study that isolates the scaffolding’s contribution to agent quality over time is conducted, revealing that despite continuous development activity and growing codebase complexity of the scaffoldings, there is no statistically significant improvement in SWE-bench benchmark score across releases for a given fixed LLM version.

Hao Li, O. Sghaier, Bram Adams · 0 citations

Preprint Jul 2026

Don't Blame the Large Language Model: How Agent Harness Evolution Shapes Coding Agent Quality

This paper empirically study the development and release evolution of five major open-source agent harnesses, revealing extreme release velocities exceeding two releases per day and thousands of issues within months, and performs the first controlled longitudinal study that isolates the agent harness contribution.

O. Sghaier, Hao Li, Bram Adams et al. · 2 citations