How we used FalkorDB, Graph Theory (WCC, Betweenness, PageRank), and Multi-Agent simulation to catch breaking ecosystem changes before merge

说明与用途

ShadowGraph 使用 FalkorDB 和图算法来检测并防止 Home Assistant 集成中的破坏性更改，使开发者能够在合并前捕获问题。

问题

A refactor that moved sensor entity classes into a separate module broke 32 custom integrations that depended on internal symbols, risking runtime failures for users.

结果

ShadowGraph enabled early detection of 32 integration breakages, provided migration patches, and extended impact analysis beyond core tests.

工作流

• Build dependency graph via Python AST analysis
• Create isolated graph copy in FalkorDB
• Simulate removal/change of symbols
• Identify integrations that fail during import vs. runtime
• Use AI agents to verify potential breakages
• Generate draft patches for maintainers

证据

32 custom integrations depended on internal symbols that the refactor stopped exposing.

来源

ShadowGraph helps developers understand the impact of a code change before merging it.

来源