Unverified50% confidenceFactExact time
Taste pipeline 最终生成的文档包含 Design Map(客观数据与 token)和 Taste DNA(核心决策逻辑)两部分
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/22/2026
First Seen
Valid until: 10/20/2026
Sources
Related Claims
UnverifiedThe Taste system uses Kullback-Leibler Divergence to determine whether a preference item is worth writing into the taste file, in order to avoid wasting the context window.59% similarUnverifiedAnthropic格式将工具调用结果(tool_result)作为独立消息块处理,并对Thinking模式的推理内容有专门的字段定义56% similarUnverifiedFront-end code generation requires models to simultaneously understand visual design intent, interaction logic, and underlying implementation details, and to integrate them into a single file that is structurally complete and syntactically correct.56% similarUnverifiedHigh-quality prompts should reference existing patterns and file paths in the codebase, provide additional context such as logs and error messages, and clearly express design intent and constraints.56% similarUnverifiedThe natural language event-creation feature of this mini-program uses a large language model (LLM) for intent recognition and structured extraction, completing entity extraction, default value completion, and formatted output.54% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/593914API
curl https://kongchang.com/api/v1/knowledge/claims/593914MCP
get_claim(id=593914)