arXiv (All)
open access
Scaling Human-AI Coding Collaboration Requires a Governable Consensus Layer
Vibe coding turns natural-language intent into working software, but code generation alone does not give humans and agents a shared account of what they are building. As collaboration spans participants, components, and releases, design choices must remain understandable and open to revision. We arg
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Vibe Coding Done Right : How Enterprises Can Accelerate Prototyping, Empower Teams, and Scale with AI-Driven Development / by Arpit Dwivedi#1037931
- Vibe Coding in Product Teams: Reconfiguring AI-Assisted Workflows, Prototyping, and Collaboration#189345
- A collaborative creation framework for experimental animation pedagogy integrating generative artificial intelligence and vibe coding.#671233
- Professional Software Developers Don't Vibe, They Control: AI Agent Use for Coding in 2025#635698
- Professional Software Developers Don't Vibe, They Control: AI Agent Use for Coding in 2025#633349
Record · ID 1344558
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive