Hello Jenkins Community!
My name is Pascal Ndubi, and I am a 3rd-year student at Multimedia University of Kenya (MMU). I am writing to express my strong interest in contributing to the “AI Chatbot to Guide User Workflow” project for GSoC 2026.
About Me: I am currently the DSA (Data Structures and Algorithms) Lead for my university’s tech community. I have a solid background in backend development, having completed ALX certifications in both backend and frontend development. My technical stack includes Python/Django, Redis,Docker, Kubernetes, and I hold a certification in Data Design and Communication Networks (DDCN).
Why this project? I am particularly excited about this project because it aligns with my recent work in Agentic RAG systems. I believe that moving a chatbot from simple retrieval to an “Agentic” state, where it can reason through Jenkins logs and provide environment-aware fixes will significantly lower the barrier for new Jenkins users.
My Goals:
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I’ve already started exploring the
jenkins.iodocumentation to understand the data ingestion process. -
I am eager to learn more about the Jenkins Extension Point system and how to bridge Python-based AI logic with the Jenkins core.
I look forward to receiving feedback from the mentors (@KrisStern, @ShivayLamba) and the rest of the community on how I can best refine my proposal.
Github: Pascal7601 · GitHub
Linkedin: linkedin/in/pascal-ndubi