Unverified50% confidenceTradeoffExact time
Agentic Search 在中小规模、结构清晰的代码库表现更好,超大规模复杂场景尚无定论
1
Sources
50%
Confidence
Long-term
Relevance
7/13/2026
First Seen
Sources
Claude Code为何放弃RAG,选择Grep搜索代码
Related Claims
UnverifiedAgentic Search 效果高度依赖底层模型推理质量,在推理能力弱的模型上可能适得其反69% similarUnverified自动化研究智能体与传统超参数搜索或神经架构搜索不同,能够提出全新的模型结构假设而非仅在预定义搜索空间中优化69% similarUnverifiedCode review tasks are harder to game through cramming and better reflect candidates' long-accumulated engineering competence than algorithmic problems67% similarUnverifiedAgent skills have higher default permissions compared to traditional software packages, and malicious prompts hidden in natural language cannot be detected by traditional code detection methods.66% similarUnverifiedIf tool granularity is too coarse, the AI agent will have difficulty precisely matching intent; if too fine, it increases the complexity of agent planning — balancing the two is the core challenge of tool design.66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/501958API
curl https://kongchang.com/api/v1/knowledge/claims/501958MCP
get_claim(id=501958)