A developer proposes a new workflow for AI coding assistants, emphasizing that the code repository, not the model itself, should serve as the primary memory. This approach treats the AI model as a worker that reads from and writes to the repository, ensuring durable state and reducing redundant processing. By structuring the repository for frequent reads of key files like spec documents, developers can significantly improve efficiency and reduce costs through caching mechanisms. AI
IMPACT This workflow could improve efficiency and reduce costs for AI-assisted coding by leveraging the repository as persistent memory.
RANK_REASON Developer shares a personal workflow and perspective on using an AI coding assistant.
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