AI Chatbot to Guide User Workflow

Project goal: Develop an AI-powered chatbot integrated into Jenkins to assist users in navigating workflows, accessing documentation, and troubleshooting issues efficiently.

Skills to study/improve: Natural Language Processing (NLP), Python, JavaScript/TypeScript, LLM, AI/ML, UI/UX, Jenkins

NOTE: This idea is published as a draft under active discussion, but it is confirmed in principle. It is FINE to apply to it. The scope and the suggested implementation may change significantly before the final version is published. Sections like quickstart guide and newbie-friendly issues may be also missing. As a contributor, you are welcome to request additional information and to join the discussions using channels linked on this page.

Details

Background

As Jenkins continues to evolve despite being a more mature CI/CD tool, 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. We believe that an AI chatbot can significantly enhance the user experience by providing quick access to relevant information, guiding users through workflows, and assisting in troubleshooting common issues. The project aims to leverage Natural Language Processing (NLP) and Machine Learning (ML) techniques to create a chatbot that understands user queries and provides accurate responses based on Jenkins resources. The contributor will work closely with the mentors to design, develop, and integrate the chatbot into the Jenkins ecosystem.

Summary

  • Strategy: Develop an AI-powered chatbot to assist users in navigating Jenkins workflows and accessing resources pertaining to the user experience.

    • Help the user with workflow guidance

      • How to set up a Jenkins pipeline?

      • How to configure Jenkins for specific use cases?

      • How to troubleshoot common Jenkins issues?

    • Sample repositories and use cases

      • Jenkins core

      • Jenkins plugins

      • Jenkins documentation

Expected Outcomes

Details to be clarified interactively, together with the mentors, during the Contributor Application drafting phase.

Skills to Study and Improve

  • Natural Language Processing (NLP)

  • Python

  • JavaScript/TypeScript

  • LLM

  • AI/ML

  • UI/UX

  • Jenkins

Project Size

175 - 350 hours

Project Difficulty Level

Intermediate to Advanced

New Features

An AI-powered chatbot integrated into Jenkins to assist users in navigating workflows, accessing documentation, and troubleshooting issues efficiently. Improved user experience and productivity within the Jenkins ecosystem.

Quick Start

To get started: 1. Familiarize Yourself with Jenkins. 2. Familiarize Yourself with NLP and AI Libraries: Investigate NLP frameworks such as NLTK, spaCy, PyTorch, LlamaIndex, etc., that can be integrated into Python applications. 3. Understand Existing Chatbot Implementations: Study existing chatbot plugins or tools to gather insights into design and functionality. 4. Explore Jenkins Plugin Development: Review the Jenkins Plugin Tutorial to understand how to integrate the chatbot into Jenkins.

Potential Mentors

Project Links

Organization Links

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