From the course: AI-Powered Software Development: Coding, Testing, and System Design

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Retrospective analysis and improvement suggestions

Retrospective analysis and improvement suggestions

From the course: AI-Powered Software Development: Coding, Testing, and System Design

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Retrospective analysis and improvement suggestions

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- [Instructor] All right, so let's take a look at how we can use these generative AI tools for another very important part of most Agile in the Scrum teams, which is doing retrospective analysis. So it's a pretty common thing that after every sprint, your team will have accumulated a number of notes about how to improve things going forward, and they might look something like this. So these are just some fictional notes that I've generated using generative AI, and they include things like Sprint goal was a bit vague, led to confusion, pair programming worked really well, faster onboarding, we had too many bugs from rushed code reviews. These are the kind of things that you'll see. And, in many cases, the list will be a lot longer than this. And so the key here is to use generative AI to help us kind of organize and summarize all of the thoughts and sentiments from the past sprint. Again, you could use ChatGPT, or really…

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