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Don't Let the Model Write the YAML: Deterministic, Minimal-Diff GitOps Remediation from LLM-Proposed Field Changes

Source
arxiv.org
Author
Pruthvi Davineni
Date

Context

An AI-proposed configuration fix can be applied without asking the model to rewrite the file. This GitOps study separates the proposed change from its execution: the model names a resource, field and replacement value, then ordinary software locates and replaces that value in the original YAML text. Preserving the surrounding text keeps comments and unrelated settings intact.

The implemented approach covers individual values in supported configuration files and refuses unresolved targets. Its guarantee concerns faithfully applying a specified change. Human review still decides whether that change is appropriate. This division gives reviewers a small, inspectable edit while keeping the model's diagnosis open to challenge.

Terms in this piece · Glossary
  • token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
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