Cheezy World

For those new here: Stride is a kanban-based task management platform built specifically for Human and AI agent collaboration. It is very different than the typical “let the agents run through a lot of tasks and we’ll check at the end” mode of working with AI. Instead, Stride gives the human (team) multiple places where they can insert themselves into the workflow. Enough of that for now as I want this post to focus on the workflow enhancements.

In the first post of the implementation series, we created a requirements document with the whole team and Claude Code. In the second post, the whole team, using Claude Code, created a backlog of tasks from that requirements document and uploaded it to Stride. The entire process and team structure is outlined in the post titled “The New Team.” If you haven’t read the initial post, I recommend you do so before reading this one and follow along with the implementation via the links at the bottom of that post.

In this post, we continue to show how the process we outlined in the post The New Team works. If you haven’t read the initial post, I recommend you do so before reading this one.

Creating the Backlog

In the previous post, we created a set of requirements for the Learning Management System. In this post, we will turn that set of requirements into a backlog of tasks that we will use to build the system.