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New benchmarks evaluate AI coding agents in interactive, multi-turn sessions

By PulseAugur Editorial · [5 sources] ·

Two new benchmarks, SWE-Together and SWE-Interact, have been introduced to evaluate coding agents in more realistic, interactive, and multi-turn user sessions. Unlike static benchmarks that provide complete task descriptions upfront, these new frameworks simulate user interactions, progressively revealing requirements, and providing feedback. Experiments show that strong performance on single-turn tasks does not always translate to multi-turn scenarios, with top models like Opus 4.8 and GPT 5.5 still exhibiting issues like forgetting requirements or making technical mistakes. AI

IMPACT These benchmarks will drive development of more capable AI coding assistants that can handle complex, interactive software engineering tasks.

RANK_REASON Two academic papers introduce new benchmarks for evaluating AI coding agents.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 5 sources. How we write summaries →

New benchmarks evaluate AI coding agents in interactive, multi-turn sessions

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COVERAGE [5]

  1. arXiv cs.AI TIER_1 English(EN) · Yifan Wu, Zhuokai Zhao, Songlin Li, Ho Hin Lee, Jiacheng Zhu, Shirley Wu, Tianhe Yu, Serena Li, Lizhu Zhang, Xiangjun Fan, Shengzhi Li ·

    SWE-Together: Evaluating Coding Agents in Interactive User Sessions

    arXiv:2606.29957v1 Announce Type: cross Abstract: Most coding-agent benchmarks are static: an agent receives a complete task description up front and is judged only by its final code. Real coding assistance is interactive, with users clarifying goals, adding constraints, and corr…

  2. arXiv cs.LG TIER_1 English(EN) · Mohit Raghavendra, Anisha Gunjal, Aakash Sabharwal, Yunzhong He ·

    SWE-INTERACT: Reimagining SWE Benchmarks as User-Driven Long-Horizon Coding Sessions

    arXiv:2606.30573v1 Announce Type: new Abstract: We introduce SWE-Interact, a new testbed for evaluating coding agents on multi-turn, interactive, user-driven software engineering tasks. Existing frontier SWE benchmarks typically provide complete requirements upfront and evaluate …

  3. arXiv cs.LG TIER_1 English(EN) · Yunzhong He ·

    SWE-INTERACT: Reimagining SWE Benchmarks as User-Driven Long-Horizon Coding Sessions

    We introduce SWE-Interact, a new testbed for evaluating coding agents on multi-turn, interactive, user-driven software engineering tasks. Existing frontier SWE benchmarks typically provide complete requirements upfront and evaluate agents on autonomous implementation. In contrast…

  4. Hugging Face Daily Papers TIER_1 English(EN) ·

    SWE-Together: Evaluating Coding Agents in Interactive User Sessions

    SWE-Together is a multi-turn coding benchmark created from real user-agent interactions, featuring a reactive LLM simulator to evaluate agents based on both final correctness and interaction efficiency.

  5. Hugging Face Daily Papers TIER_1 English(EN) ·

    SWE-INTERACT: Reimagining SWE Benchmarks as User-Driven Long-Horizon Coding Sessions

    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.

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