2 months ago
- Understanding code written by AI agents remains important, not just to verify correctness but to participate creatively in the project's evolution.
- Cognitive debt from skipping understanding can accumulate and hinder future contributions.
- Technique 1: Use structured code explainer docs that teach background, intuition before details, interactive figures, and literate diffs with embedded quizzes to regulate understanding speed.
- Technique 2: Build micro-worlds—interactive environments like debuggers or step-by-step ports—so humans can intuitively grasp system behavior by doing.
- Technique 3: Create shared spaces (e.g., collaborative Notion pages) where teams discuss and refine mental models together, enabling efficient communication and creative collaboration.
- The ultimate goal is to augment human understanding, not just automate tasks, making us deeper participants in the loop.