VQV Signal
SWE-Touch is a new framework designed to benchmark coding agents in real-world scenarios where users inspect and modify code during ongoing tasks. It addresses limitations of existing benchmarks that evaluate agents working alone or only allow user interaction via messages.
SWE-Touch is a new framework designed to benchmark coding agents in real-world scenarios where users inspect and modify code during ongoing tasks. It addresses limitations of existing benchmarks that evaluate agents working alone or only allow user interaction via messages.
AI-assisted summary based on the listed source.
Real-world software development requires coding agents to operate in shared workspaces where users may inspect and modify code during an ongoing task, yet existing repository-level benchmarks typically evaluate agents working alone or restrict user participation to messages. This leads us to ask: how do coding...
This framework better reflects collaborative software development environments, enabling evaluation of how coding agents understand and respond to live code changes. It can improve the development of AI coding tools that work effectively alongside human developers.
VQV organizes public signals from inspectable sources. It does not independently verify the underlying report.
Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.
VQV surfaced this signal because it is recent, relevant to AI Coding Tools, connected to arXiv.
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