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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Jinxiang Meng

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2 papers indexed here

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Preprint Aug 2026

SWE-Touch: Benchmarking Coding Agents When Users Touch the Code

SWE-Touch is introduced, a framework that stress-tests this setting through validated Counter-Edits: plausible edits to task-relevant code that conflict with task completion, and point to detecting workspace changes, reconciling conflicting edits with the task, and verifying the affected behavior as key capabilities for future optimization.

Yuqiao Tan, Jinxiang Meng, Fangyu Lei et al. · 0 citations
Preprint Aug 2026

StartupBench: Benchmarking General-Purpose Agents on Market-Validated End-to-End Workflows

This work systematically study AI products with demonstrated adoption, together with their product workflows and users, to identify real-world tasks for which AI has established practical demand across diverse professional domains and establishes StartupBench as an empirical measure of progress toward E2E completions of real-world user tasks.

Liya Zhu, Xin Ma, Tao Liu et al. · 0 citations