From the course: AI-Powered Software Development: Coding, Testing, and System Design
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Sprint planning with AI story estimation
From the course: AI-Powered Software Development: Coding, Testing, and System Design
Sprint planning with AI story estimation
- [Instructor] All right, so moving on from the idea of integrating generative AI into an application like we saw previously with generative AI APIs, in this section, what we're gonna do here is see how generative AI can be used to help with basic agile and scrum development. This is another aspect of software development that can really be taken to the next level, both speed-wise and accuracy-wise by generative AI. I'm gonna use Claude for this demonstration just for a change of pace, and we're gonna take a look at how we can just take simple user stories, saying things like, "As a user, I wanna be able to mark to-dos as completed in my application," things like that. And we're gonna have Claude estimate the complexity of these stories. I'm gonna just copy and paste these into here, but you can obviously type out your own. I have a number of user stories that describe things in a basic task manager or to-do list…
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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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