Observations suggest that visible machine participation shifts the performer from direct creation toward curation, while preserving the per-formative “liveness” of live coding.
AgentRoom is a realtime collaborative editing protocol for concurrent coding agents that exposes file-level claim, status, and broadcast as MCP tools on a CRDT-merged shared filesystem and has less run-to-run variation than CLI-stable models.
This paper presents Ark (Agent Research Kit), a minimal open-source coding agent designed for research and education that preserves the essential architectural mechanisms of modern coding agents while emphasizing simplicity and clarity, and introduces ArkBench, a lightweight benchmark comprising ten representative soft...
This research presents an autonomous AI Coding Agent which establishes a connection between LLM-generated content and production-ready software through its organized methodology for decision making through its tailored Monte Carlo Tree Search method.
Pravin Game, V. Ramakrishnan, Prathamesh Wagh· 0 citations
Positive and negative space is a fundamental principle in visual composition, supporting visually coherent forms and layered semantic relationships. Generating such compositions is challenging because it requires coordinated control over two semantic concepts that share a common boundary. Although recent text-to-image...
Shi-Wen Wang, Jian Yang, Xu Wang et al.· 0 citations
This work introduces RecreationWorld, a five-platform framework built around recreation: given a running reference, an agent must discover its behavior and build a faithful implementation with no prescribed workflow, and introduces RecreationBench, comprising 250 diverse tasks across domains and platforms.
Shuai Bai, Jia-Yong Deng, Si-Cheng Fan et al.· 1 citation
PPTBench establishes a measurable testbed for studying visual coding and advancing agents toward more reliable visual creation, and shows that agents can generally produce valid slide files, but struggle to produce high-quality reconstructions that faithfully recover the semantics and visual structure of the target.
Xiao-Qiu Wang, Yi-Zhe Chi, Wen-Yi Li et al.· 0 citations
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