The latest articles on DEV Community by Prem Jha (@prem_jha_e193105ad8ece2c0). https://dev.to/prem_jha_e193105ad8ece2c0 https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F4192499%2Fb88ddeec-9e2a-48e6-93d7-5818dbcf3c4e.png https://dev.to/prem_jha_e193105ad8ece2c0 en Prem Jha Sun, 18 Oct 2026 17:53:04 +0000 https://dev.to/prem_jha_e193105ad8ece2c0/how-we-used-falkordb-graph-theory-wcc-betweenness-pagerank-and-multi-agent-simulation-to-4pgi https://dev.to/prem_jha_e193105ad8ece2c0/how-we-used-falkordb-graph-theory-wcc-betweenness-pagerank-and-multi-agent-simulation-to-4pgi <h1> What if a clean refactor breaks 32 integrations? </h1> <p>On October 16, 2026, Home Assistant merged <a href="https://github.com/home-assistant/core/pull/186863" rel="noopener noreferrer">PR #186863</a>, a refactor that moved sensor entity classes into a separate module.</p> <p>The core tests passed. Linting was green. Everything looked fine.</p> <p>But there was a catch: <strong>32 custom integrations depended on internal symbols that the refactor stopped exposing.</strong> Those integrations could fail to load when the change reaches users.</p> <p>This is a classic example of <strong>Hyrum’s Law</strong>: if enough people depend on your system, someone will depend on behavior you never intended to support.</p> <p>And with AI coding agents writing and refactoring code faster than ever, catching these issues is becoming increasingly important.</p> <h2> Introducing ShadowGraph </h2> <p>Built for the <strong>WeMakeDevs × FalkorDB Graph Hacks Hackathon</strong>, ShadowGraph helps developers understand the impact of a code change <em>before merging it</em>.</p> <p>Instead of checking only the core repository, it maps dependencies across Home Assistant and its external custom integrations.</p> <p><strong>How it works:</strong></p> <ul> <li> <strong>Builds a dependency graph:</strong> Uses Python AST analysis to identify which integrations import which symbols.</li> <li> <strong>Simulates changes:</strong> Creates an isolated graph copy and checks what would break if a symbol were removed or changed.</li> <li> <strong>Identifies the blast radius:</strong> Distinguishes between integrations that fail during import and those that may fail later at runtime.</li> <li> <strong>Uses AI agents for verification:</strong> Investigates potential breakages and compares findings against static analysis.</li> <li> <strong>Suggests migration fixes:</strong> Generates draft patches that maintainers can review and apply.</li> </ul> <p>The Home Assistant dataset contains <strong>4,814 integrations and 562,444 import relationships</strong>.</p> <h2> Why FalkorDB? </h2> <p>FalkorDB lets ShadowGraph represent dependencies as a graph and efficiently explore how a change can affect downstream projects. Its graph-copy capability also enables isolated simulations without modifying the live graph.</p> <h2> Beyond traditional CI </h2> <p>Traditional CI tells you whether your own tests pass.</p> <p>ShadowGraph asks a different question:</p> <p><strong>“Your tests pass, but what breaks for everyone depending on your code?”</strong></p> <p>It also exposes tools through MCP, allowing AI coding agents such as Claude Code, Cursor, and Codex to check the potential impact of a change before making it.</p> <p>ShadowGraph is open source under the MIT License.</p> <p>GitHub: <a href="https://github.com/prem-programs/shadowGraph" rel="noopener noreferrer">https://github.com/prem-programs/shadowGraph</a></p> <p>Built for Graph Hacks across three tracks: connected data, agent memory and coordination, and company knowledge.</p> <p><strong>The goal is simple: catch breaking changes before your users do.</strong></p> <p>How does your team check the downstream impact of a refactor today?</p> falkordb ai opensource python