Four Key Steps to Optimize Cognitive Capabilities for Kode Projects
For large code bases, the following methods are recommended to enhance Kode comprehension:
- Project initialization: In the project root directory, execute the
kode --initKode builds code indexes. - Smart Citation: utilization
@文件路径The syntax explicitly specifies the scope of analysis - Model Selection: Choose models that support long contexts for large codebases, such as @ask-deepseek-v3
- Layered Understanding: Request Kode Analytics Architecture Design first (
@run-agent-architect), and then drill down to the module level
Typical usage examples:
kode /dir . # 设置当前工作目录 @ask-deepseek-v3 分析项目整体架构设计 @src/core/service.js 请解释这个服务的业务逻辑
This approach prevents models from getting "lost" in large code bases.
This answer comes from the articleKode: Claude Code Open Source Optimized VersionThe
May not be reproduced without permission:AI productivity tools " How to improve Kode's code understanding in large projects?
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