Unverified75% confidenceCautionExact time
AI Agents tend to handle the happy path and often miss boundary and exception handling such as null handling, race conditions, and integer overflow
1
Sources
75%
Confidence
Long-term
Relevance
8/2/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedAI Agents perform extensive exploratory operations when dealing with ambiguous problems, causing high token consumption76% similarUnverifiedAI编程工具倾向于只考虑'正常路径'（Happy Path），忽略边界条件、异常处理、并发冲突等生产环境关键问题75% similarVerifiedAI Agent常见的四种失败模式包括方向偏移、上下文丢失、过度生成和错误累积75% similarUnverifiedAI Agent的离线测试通过不等于线上表现可靠，因为其行为具有非确定性74% similarUnverifiedInfinite loop problems in AI Agents typically occur when an Agent lacks clear termination conditions or error handling mechanisms, causing the model to repeatedly call the same tool or repeat identical reasoning steps.74% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/680240API
curl https://kongchang.com/api/v1/knowledge/claims/680240MCP
get_claim(id=680240)