Don't Vibe Code, Do Skele-Code: Interactive No-Code Notebooks for Subject Matter Experts to Build Lower-Cost Agentic Workflows
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arXiv:2603.18122v1 Announce Type: new Abstract: Skele-Code is a natural-language and graph-based interface for building workflows with AI agents, designed especially for less or non-technical users. It supports incremental, interactive notebook-style development, and each step is converted to code with a required set of functions and behavior to enable incremental building of workflows. Agents are invoked only for code generation and error recovery, not orchestration or task execution. This agen
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Computer Science > Artificial Intelligence
[Submitted on 18 Mar 2026]
Don't Vibe Code, Do Skele-Code: Interactive No-Code Notebooks for Subject Matter Experts to Build Lower-Cost Agentic Workflows
Sriram Gopalakrishnan
Skele-Code is a natural-language and graph-based interface for building workflows with AI agents, designed especially for less or non-technical users. It supports incremental, interactive notebook-style development, and each step is converted to code with a required set of functions and behavior to enable incremental building of workflows. Agents are invoked only for code generation and error recovery, not orchestration or task execution. This agent-supported, but code-first approach to workflows, along with the context-engineering used in Skele-Code, can help reduce token costs compared to the multi-agent system approach to executing workflows. Skele-Code produces modular, easily extensible, and shareable workflows. The generated workflows can also be used as skills by agents, or as steps in other workflows.
Comments: Main paper 9 pages. Topics: Agentic Coding, HCI, LLMs, Workflows
Subjects: Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC); Programming Languages (cs.PL); Systems and Control (eess.SY)
Cite as: arXiv:2603.18122 [cs.AI]
(or arXiv:2603.18122v1 [cs.AI] for this version)
https://doi.org/10.48550/arXiv.2603.18122
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From: Sriram Gopalakrishnan [view email]
[v1] Wed, 18 Mar 2026 16:37:29 UTC (576 KB)
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