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SWE-INTERACT: Reimagining SWE Benchmarks as User-Driven Long-Horizon Coding Sessions research paper by Scale AI, 2026

Scale AI · Jun 29, 2026 · Agents and evaluation · 7 upvotes 2 months ago

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What it shows

SWE-Interact presents a testbed that evaluates coding agents in realistic multi-turn, user-driven software engineering scenarios, revealing significant gaps between single-turn performance and interactive task completion.

Hugging Face's summary; not yet checked by hand.

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About this paper
Authors
Mohit Raghavendra, Anisha Gunjal, Aakash Sabharwal and 1 more
arXiv
2606.30573 · PDF
Citations
Not counted yet · Semantic Scholar
Upvotes
7 · Hugging Face
Code
github.com/scaleapi/SWE-Interact
Lab
Scale AI · on Companies · on Acquisitions

Changes

What changed
New paperAdded to the listSep 26, 2026today

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