learning-opportunities

You can reinforce coding concepts during AI-assisted development by engaging with optional interactive exercises offered after key tasks. The Skill uses active retrieval and reflection techniques like predict-then-observe to deepen comprehension.

Learning techniques that improve retention after creating a new module include predict-then-observe and teach-it-back exercises. These interactive prompts guide you through best practices to reinforce understanding.

To start an interactive learning exercise after an architecture change, simply wait for the Skill to offer a brief practice prompt. You confirm your interest, and it guides you through targeted educational questions.

You do not need specific dependencies to use interactive coding exercises. The Skill operates without external requirements and integrates directly into your AI coding sessions.

You can skip the educational prompts if you want to focus on coding. The exercises are entirely optional and wait for your confirmation before proceeding with any learning activities.

You should use AI-guided exercises instead of reading documentation when you need deliberate skill development immediately after a coding task. This active reflection approach enhances retention better than passive reading.