AI-Powered Chatbot for Quick Access to Jenkins Resources

Goal: Develop an AI-based chatbot to provide users with quick and intuitive access to Jenkins documentation, plugins, and community resources.

Status: Selected

Team

Details

Abstract

As Jenkins continues to evolve, users often seek efficient ways to navigate its extensive documentation, plugins, and community discussions. This project proposes the development of an AI-powered chatbot integrated into the Jenkins interface, enabling users to retrieve information swiftly through natural language queries.

Rationale

Navigating Jenkins documentation can be daunting, especially for newcomers. A contextual AI assistant embedded in Jenkins can significantly reduce friction by offering quick answers and plugin-related insights. This project aims to create a dedicated chatbot that understands user questions and provides accurate, fast responses using NLP and ML models. A previous community discussion and growing interest validate the need for such a plugin.

Implementation

The project will involve:

  • Chatbot Plugin: Build a Jenkins plugin that embeds the AI chatbot.

  • NLP Integration: Utilize NLP frameworks such as spaCy, NLTK, or LlamaIndex to process natural language queries.

  • Data Sources: Integrate official documentation, plugin data, and community resources for relevant answers.

  • UI/UX: Design a clean chat interface within the Jenkins UI.

  • Performance: Optimize inference time and resource usage.

Potential tools and technologies:

  • Python + LLM integrations

  • TypeScript/JavaScript for UI

  • Jenkins Plugin Development Framework

Office hours

  • Weekly office hours: Thursday 15:30 UTC (Zoom) — subject to update

Links