Choose one capability from your report that feels both important and workable. Then choose one small practice you can use during real development work.
Examples:
- SEE: Before asking for a solution, write down what you observed, what you assume, and what you still need to learn.
- THINK: Stay in one AI conversation and ask three genuine follow-up questions before choosing an approach.
- DESIGN: Ask how each important behavior can be independently verified before accepting a design.
- BUILD: Make intent, roles, and validation steps explicit when people and AI work together.
- REFLECT: Review one AI transcript each week and mark where the work gained clarity, drifted, or changed direction.
Use your practice for the next two weeks. Keep it small enough to remember and concrete enough to observe.
At the end of each work session, ask:
- What did I notice?
- What changed in the work?
- What will I try next time?
The goal is not to become better at operating an AI tool. The goal is to become more capable: more perceptive, more thoughtful, more deliberate, more collaborative, and more able to learn from experience.
The AI Collaboration Lab for Software Developers develops these five capabilities through live, experiential Studios. Developers work with AI and each other, then turn what they discover into practices and artifacts they can carry back into everyday work.