Expired60% confidenceFactExact time
When executing multiple AI tasks in parallel, the main risk is merge conflicts, because an AI may not know which files other parallel tasks are modifying.
2
Sources
60%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Related Claims
UnverifiedIn parallel task execution, if multiple tasks modify adjacent or overlapping areas of the same file, conflicts may arise during merging, as the AI is unaware of which files other parallel tasks are modifying.83% similarUnverifiedWhen multiple AIs are developing in parallel, a reasonable division of tasks that assigns different AIs to different modules or files can greatly reduce the probability of conflicts.79% similarVerifiedWhen multiple AI agents modify the same codebase in parallel, they face write conflict issues similar to Git merge conflicts, and AI agents typically lack the ability to resolve conflicts automatically.78% similarUnverifiedAI agents experience a sharp performance drop on complex tasks involving multiple files and cross-module dependencies.77% similarUnverified在AI Agent协作场景中，大量Agent同时操作不同模块的概率远高于操作同一模块，使OCC的冲突罕见假设成立76% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/52025API
curl https://kongchang.com/api/v1/knowledge/claims/52025MCP
get_claim(id=52025)