Verified65% confidenceOpinionTime unknown
The three major engineering barriers of AI Agent performance instability, unpredictable costs, and difficulty closing the quality loop cannot be solved by switching to a stronger model and must rely on systematic engineering approaches
3
Sources
65%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedIf 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.80% similarVerifiedOverly strict permission restrictions reduce AI utility, while overly loose restrictions defeat the purpose of security; the usability-security balance of permission granularity is the key trade-off determining the success or failure of local agent products.79% similarVerified大多数 AI 编程智能体无法有效完成复杂任务的主要原因是上下文缺失,而非模型能力不足78% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/20180API
curl https://kongchang.com/api/v1/knowledge/claims/20180MCP
get_claim(id=20180)