Retrospectives can be the powerhouse of continual improvement for your team, but too often they become complaint sessions about things outside the team's control, and nothing truly actionable is decided. In this talk we are going look at the purpose of retrospectives and a few ways to facilitate them productively. We'll also present (and email all the attendees) an AI workflow that you can use to increase your retrospective skills.

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The goal of this session is to show how to use AI to build real software without losing your mental model of the system.

This is a live demo starting from a problem domain chosen on the spot.

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Traditional Agile often prioritizes work based on the constraints of development teams and resources. AI automation makes some work trivial, and this session shows one practical way to sort backlog items into AI-ready and non-AI-ready categories based on many factors, such as risk, reward, prior disasters of similar types of work, etc.

The workflow demonstrated shows a new way of thinking about backlog prioritization in an AI world, and what I've learned over the past six months of applying these principles.

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