ByteRover'sCross-Project Context Maintenancefeature specifically addresses this issue:
- Create a separateMemory WorkspaceThe following is a list of the most important aspects of the contextualization process.
- When switching projects, in the extensionone-touch switchingCorresponding workspace
- The AI assistant will immediately base the new program on thehistorical memoryProvide recommendations without repeating the background
- The system works byknowledge mapExperience with automatic correlation of similar projects
- Recommended for frequent useCommon Mode(e.g. ORM configuration) Add bookmarks to improve cross-project reuse
This answer comes from the articleByteRover: a management tool to enhance the memory of AI coding assistantsThe
May not be reproduced without permission:AI productivity tools " How to optimize the efficiency of AI assistant context switching during cross-project development?
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