Abstract
Software service onboarding can involve developers manually interpreting integration guides to edit various configuration files, a process that can be time-consuming and prone to error. A system is described that may use a conversational agent powered by a Large Language Model (LLM) to assist in automating this process. The agent can interact with a developer, for example through a user interface on a computing device, to gather parameters. These parameters may then be populated into a templatized prompt for the LLM to generate corresponding configuration files, code snippets, and commands. The system may integrate with existing development frameworks and could include multi-layered verification, such as automated presubmit checks and recursive code correction based on build or test failures. This method can help streamline the onboarding workflow by potentially reducing the time and manual effort involved, which may also reduce the likelihood of some human errors and abstract integration complexity from the developer.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Chen, Peng, "Automated Software Service Onboarding and Configuration Through a Conversational Large Language Model Agent", Technical Disclosure Commons, (October 16, 2025)
https://www.tdcommons.org/dpubs_series/8731