Ambig-IaC: Multi-level Disambiguation for Interactive Cloud Infrastructure-as-Code Synthesis
📰 ArXiv cs.AI
Ambig-IaC introduces multi-level disambiguation for interactive cloud infrastructure-as-code synthesis using large language models
Action Steps
- Identify underspecified user requests
- Apply multi-level disambiguation to clarify requests
- Generate Infrastructure-as-Code configurations using large language models
- Refine configurations through interactive synthesis
Who Needs to Know This
DevOps and software engineering teams can benefit from Ambig-IaC as it improves the accuracy of Infrastructure-as-Code configurations generated from natural language requests
Key Insight
💡 Large language models can be used for interactive cloud infrastructure-as-code synthesis with improved accuracy through multi-level disambiguation
Share This
💡 Ambig-IaC improves IaC config generation with multi-level disambiguation
Key Takeaways
Ambig-IaC introduces multi-level disambiguation for interactive cloud infrastructure-as-code synthesis using large language models
Full Article
Title: Ambig-IaC: Multi-level Disambiguation for Interactive Cloud Infrastructure-as-Code Synthesis
Abstract:
arXiv:2604.02382v1 Announce Type: cross Abstract: The scale and complexity of modern cloud infrastructure have made Infrastructure-as-Code (IaC) essential for managing deployments. While large Language models (LLMs) are increasingly being used to generate IaC configurations from natural language, user requests are often underspecified. Unlike traditional code generation, IaC configurations cannot be executed cheaply or iteratively repaired, forcing the LLMs into an almost one-shot regime. We obs
Abstract:
arXiv:2604.02382v1 Announce Type: cross Abstract: The scale and complexity of modern cloud infrastructure have made Infrastructure-as-Code (IaC) essential for managing deployments. While large Language models (LLMs) are increasingly being used to generate IaC configurations from natural language, user requests are often underspecified. Unlike traditional code generation, IaC configurations cannot be executed cheaply or iteratively repaired, forcing the LLMs into an almost one-shot regime. We obs
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