ByteRover's unique dual-layer memory architecture has a clear division of labor:
System 1 | System 2 |
---|---|
Record business logic level memories | Stored Reasoning Processes and Problem Splitting |
▪ Developer code style preferences Common architectural patterns ▪ Project naming conventions |
▪ Complex bug resolution paths ▪ Algorithmic optimization of decision trees ▪ Multi-step code generation logic |
For example, when a developer uses a particular Docker configuration frequently, System 1 records the pattern; and when the AI explains how to balance the microservices load, the detailed reasoning steps are deposited into System 2. These two types of memories are used through theMemory AnalysisPanel visualization allows developers to clearly track AI learning trajectories.
This answer comes from the articleByteRover: a management tool to enhance the memory of AI coding assistantsThe