Enhanced mode configuration and custom provider flexibility
14.9 score
Product snapshot
Users want granular control over AI assistant behavior per project/mode, including per-mode auto-approve settings, MCP server access controls, and custom model/provider handling. This includes fixing issues with custom model names, temperature defaults, and AWS Bedrock caching, while adding new features like external skill repository imports and MCP tool allowlisting.
14.9 score
AI Coding Assistant
Priority map
Users want granular control over AI assistant behavior per project/mode, including per-mode auto-approve settings, MCP server access controls, and custom model/provider handling. This includes fixing issues with custom model names, temperature defaults, and AWS Bedrock caching, while adding new features like external skill repository imports and MCP tool allowlisting.