Analysis
This article introduces a revolutionary workflow for AI coding, inspired by Boris Tane's successful use of Claude Code. By emphasizing a structured Research-Plan-Implement approach, developers can overcome the pitfalls of "plan-less implementation" and create more robust and reliable code with Generative AI. This is a game-changer for anyone looking to optimize their AI coding process!
Key Takeaways
- •The workflow consists of four phases: Research, Plan, Annotation Cycle, and Implementation.
- •The approach aims to prevent common AI coding failures such as implementing without understanding the existing system.
- •This structured methodology helps developers avoid wasted effort and maintain control over architectural decisions.
Reference / Citation
View Original"The core of this workflow is, in a word, 'don't let the code be written until the written plan is confirmed and approved.'"