Reflection 1¶
How This Reflection Works
Below is a question bank. As a team, look through the questions and pick two or three that connect to what you just experienced during the build. Discuss them among yourselves. There are no wrong choices; pick the ones that spark the most interesting conversation for your group.
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What surprised you most about building with AI? What matched your expectations, and what didn't?
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You wrote user stories with acceptance criteria before building. How did that change the output compared to giving AI a plain English description? Were there moments where the acceptance criteria caught something you would have missed otherwise?
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AI is probabilistic: it predicts the most likely response rather than looking up a correct answer. Did you notice moments where AI was confidently wrong? How did you catch it?
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If you set up a context file, how did it change the quality or consistency of what AI produced? If you didn't get to one, what context did you find yourself re-explaining across conversations?
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AI produces different output each time, even for the same prompt. When was that variation helpful, and when did it get in the way?
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Where did your team spend most of its time: getting a first version out, or refining it into something you were satisfied with? What does that tell you about how effort is distributed when AI does the drafting?
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Think about how your team organized during the build. Did everyone gather around one screen, or did you split up the work? What would you change for the next sprint?
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If someone in your organization who has never used AI for building software asked you what it was like, what would you tell them?