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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.

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已分析 Issue56

纳入排序56

需求簇1

更新时间2026-04-06

头号需求

Enhanced mode configuration and custom provider flexibility

14.9 得分

上升需求

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主导分类

Configuration

AI Coding Assistant

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当前最重要需求

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Enhanced mode configuration and custom provider flexibility
Configuration

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.

56 条 issue 14.9 得分