AI Chatbot to Guide User Workflow

As Jenkins continues to mature as a cornerstone of the CI/CD ecosystem, the sheer volume of its documentation, plugin landscape, and community resources can present a significant navigation challenge for users. To address this, we propose the development and integration of an AI-powered chatbot directly within the Jenkins interface via a plugin. By leveraging Natural Language Processing (NLP) and Machine Learning (ML), and LLM, this assistant enables users to interact with the Jenkins ecosystem through intuitive, natural language queries.

The chatbot is designed to provide real-time workflow guidance, assisting users with complex tasks such as pipeline setup, use-case-specific configurations, and proactive troubleshooting. By synthesizing information from Jenkins core, various plugin repositories, and official documentation, the system delivers accurate, context-aware responses that reduce time-to-resolution for common issues. Ultimately, this project aims to streamline the developer experience, lowering the barrier to entry for new users while increasing efficiency for seasoned Jenkins practitioners.

The Jenkins ecosystem is rich with resources, but navigating it can be overwhelming, especially for newcomers. An AI chatbot embedded within Jenkins can provide immediate, context-aware assistance, guiding users through workflows and troubleshooting processes without leaving the interface. This project builds upon the foundation laid by the previous GSoC project, which introduced an AI-powered chatbot for quick access to Jenkins resources. By enhancing its capabilities and expanding its knowledge base, we aim to create a more robust and user-friendly assistant that can significantly improve the user experience and productivity within the Jenkins environment.

Large - 350 hours over 12 weeks