Cloud computing and the evolution of management methodologies such as Lean
Management or Agile entail a profound transformation in both system
construction and maintenance approaches. These practices are encompassed within
the term "DevOps." This descriptive approach to an information system or
application, alongside the configuration of its constituent components, has
necessitated the development of descriptive languages paired with specialized
engines for automating systems administration tasks. Among these, the tandem of
Ansible (engine) and YAML (descriptive language) stands out as the two most
prevalent tools in the market, facing notable competition mainly from
Terraform. The current document presents an inquiry into a solution for
generating and managing Ansible YAML roles and playbooks, utilizing Generative
LLMs (Language Models) to translate human descriptions into code. Our efforts
are focused on identifying plausible directions and outlining the potential
industrial applications.
Note: For the purpose of this experiment, we have opted against the use of
Ansible Lightspeed. This is due to its reliance on an IBM Watson model, for
which we have not found any publicly available references. Comprehensive
information regarding this remarkable technology can be found directly on our
partner RedHat's website,
this https URL

利用生成式 LLM 将人类描述转化为代码，本文研究生成和管理 Ansible YAML 角色和 playbooks 的解决方案，聚焦于可行的发展方向和潜在的工业应用。