Graph technology can help detect antipatterns in microservices architecture, visualize the whole system, and conduct cross-service impact analysis. By transforming code into a graph using jQAssistant and Neo4j, developers can identify issues such as loops between services that cause chicken-and-egg problems, ensure data governance and communication between teams, and check if best practices are being followed. The tool can also be used to analyze API documentation, detect gaps in documentation, and identify fallbacks in endpoints or HTTP clients. Graph visualization can help with knowledge sharing and team communication, making it easier for developers and architects to understand the system and make informed decisions.