DevConf.US 2026

Why Jira is a Terrible Knowledge Base: Using AI To Move Knowledge Out of the Backlog
2026-09-25 , Hewitt Boardroom (Capacity 35)

Agile tools like Jira excel at tracking work as it moves from "To Do" to "Done". But when we rely on tickets to capture context and decisions made during task implementation, the issue tracker also unintentionally becomes a store of knowledge. Communicating solely through tickets eliminates nuance and empathy, and makes work more siloed and inhuman. This talk explores common pitfalls, strategies for managing knowledge outside of Jira, and techniques for using AI to reclaim and reorganize that knowledge into a more human-centric workflow.


What level of experience should the audience have to best understand your session?: Beginner - no experience needed

Open-source software engineering leader and Staff Engineer working on OpenShift AI. I specialize in Kubernetes, AI engineering, DevOps, Golang, Java, and Python. I’m enthusiastic about exploring emerging tech and sharing what I learn by contributing to open-source projects, mentoring developers, and presenting at conferences.