Bridging the Gap: Conversation Log Driven Development (CDD) with ChatGPT and Claude Code
Analysis
This article highlights a common pain point in AI-assisted development: the disconnect between the initial brainstorming/requirement gathering phase (using tools like ChatGPT and Claude) and the implementation phase (using tools like Codex and Claude Code). The author argues that the lack of context transfer between these phases leads to inefficiencies and a feeling of having to re-explain everything to the implementation AI. The proposed solution, Conversation Log Driven Development (CDD), aims to address this by preserving and leveraging the context established during the initial conversations. The article is concise and relatable, identifying a real-world problem and hinting at a potential solution.
Key Takeaways
- •AI-assisted development often suffers from context loss between different phases.
- •Conversation Log Driven Development (CDD) is proposed as a solution.
- •The article highlights the importance of maintaining context throughout the development lifecycle.
“文脈が途中で途切れていることが原因です。(The cause is that the context is interrupted midway.)”