Introduction

Continuously iterate to improve AI-assisted effectiveness

AI-assisted development is not a one-time setup. Models evolve, teams grow, and projects change. Establishing effective feedback mechanisms is the key to continuously improving outcomes.

Teams without feedback:

• Everyone explores alone, repeatedly stepping on the same pitfalls
• Good practices cannot be documented and shared
• Cursor Rules become bloated with declining effectiveness
• No clarity on how much value AI assistance actually brings

Teams with feedback mechanisms:

• Quickly discover AI capability boundaries
• Continuously optimize Prompts and Rules
• Build team-level best practice libraries
• Make data-driven decisions for continuous improvement

Chapter Contents