{
  "id": 14385225,
  "title": "AesCode: Aesthetic Code Generation with Decoupled Cross-Modal Rewards",
  "url": "https://urgent.news/2026/10/13/aescode-aesthetic-code-generation-with-decoupled-cross-modal-rewards",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-13T17:59:31.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.18860v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Generating information-rich visual artifacts such as slides, posters, and dashboards as code is appealing because the outputs are structured, editable, and verifiable. Yet code models cannot see how their choices of layout and color come together on the canvas, often limiting spatial planning and aesthetic quality. Image generators excel at visual design but can misrender requested content,…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}