Unverified50% confidenceOpinionExact time
The 'locally correct, globally wrong' failure mode in multi-agent collaborative systems is one of the most difficult error types to troubleshoot, distinguishing AI agents from traditional software.
1
Sources
50%
Confidence
Long-term
Relevance
7/19/2026
First Seen
Sources
Related Claims
VerifiedThe four common failure modes of AI Agents include directional drift, context loss, over-generation, and error accumulation.81% similarUnverifiedAI生成的Issue具有以下典型特征：对根本原因的完全臆测、伪造的最小复现案例、错误的实现策略建议、类比到错误的相邻代码、冗长的错误类别列表75% similarUnverifiedIndustrial programming error types are highly structured, with clear compiler error codes and precise error locations, making the AI automatic repair success rate far higher than in open-domain general code debugging scenarios.74% similarUnverifiedAI coding agents in unconstrained environments produce extremely unstable output quality, potentially excelling at individual functions while making fatal errors in system-level architecture73% similarUnverifiedAI代理在面对动态加载页面、验证码、多因素认证等情况时仍存在较高的失败率73% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/561500API
curl https://kongchang.com/api/v1/knowledge/claims/561500MCP
get_claim(id=561500)