{
  "id": 14830,
  "url": "https://arxiv.org/abs/2607.26375v1",
  "title": "(Im)Paired Programming: Coding Agents Improve Productivity but Harm Understanding",
  "summary": "Coding agents (e.g., Cursor) improve developer productivity by optimizing task completion, but shifting users from writing code to prompting and reviewing may harm their understanding, impeding oversight, learning, and communication. To probe this, we have 54 students create a website with one of two AI systems: an agent that edits user code; or a chatbot where users write code alone or adapt generic code snippets. We test understanding via comprehension questions and a task where users extend t",
  "authors": "Nishant Balepur, Connor Baumler, Valerie Chen, Eunsol Choi, Rachel Rudinger, Jordan Lee Boyd-Graber",
  "category": "research",
  "topics": "jobs-economy,children-education,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-29T01:23:04.000Z",
  "fetched_at": "2026-07-30T05:10:24.387Z",
  "source_slug": "x-arxiv-cs-hc",
  "source_name": "arXiv cs.HC",
  "source_homepage": "https://arxiv.org/list/cs.HC/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/14830",
  "original_url": "https://arxiv.org/abs/2607.26375v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}