Unverified70% confidenceOpinionTime unknown
Augment的上下文引擎能在修改代码时自动定位需要修改的位置，很少出现修改一处导致其他地方出错的连锁问题
1
Sources
70%
Confidence
Long-term
Relevance
6/3/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedA model's context window has a physical upper limit and cannot ingest all information from an entire large codebase at once, which may result in code changes that are locally optimal but globally incorrect.57% similarUnverified在向 Codex 报错修复时，加入'只改必要的地方'约束能防止模型在修 bug 时进行大范围重构57% similarUnverified向量索引方案存在索引随代码变更过时、以及语义相似度可能错误召回功能相似但实现无关代码的缺陷56% similarUnverifiedRAG-based AI coding tools face index drift in active codebases, where the speed of code changes far outpaces the update frequency of the embedding pipeline.56% similarUnverifiedReAct框架在任务链超过5-7个工具调用节点时存在明显的错误累积效应，每个节点的输出误差会在后续节点中被放大56% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/38247API
curl https://kongchang.com/api/v1/knowledge/claims/38247MCP
get_claim(id=38247)