From the course: AI-Powered Software Development: Coding, Testing, and System Design
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Prioritizing and refining backlog items
From the course: AI-Powered Software Development: Coding, Testing, and System Design
Prioritizing and refining backlog items
- [Instructor] Alright, so now that we've seen how we can use generative AI for simple story estimation, the next thing that you might wanna do is have it help you prioritize and refine items in your backlog. So again, we've already estimated what these stories might look like but we could have gone in a slightly different direction with these if we wanted to by doing something like using the MoSCoW method, which is must have, should have, could have, won't have, in order to make sure that we're working on the highest priority items. So what I'm gonna do is I'm just gonna use this same conversation. You could obviously just start over in a new conversation with these same items if you wanted to, but just to save time, I'm going to do that right here in this conversation. And what we're gonna do is we're gonna say something like, "Now prioritize these tasks using MoSCoW." And we'll say, "Must Have, Should Have, Could Have…
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Sprint planning with AI story estimation4m 1s
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Prioritizing and refining backlog items4m 49s
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Automated stand-up reports and progress summaries3m 32s
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Retrospective analysis and improvement suggestions3m 13s
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Challenge: Creating an AI-powered agile tool1m 23s
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Solution: Creating an AI-powered agile tool6m 17s
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