Java2Graph builds queryable code graphs for agents
Java2Graph transforms Java source code into a semantic graph queryable via Cypher, enabling AI agents to grasp architectural context that traditional text-based parsing misses. By mapping hierarchies and dependencies, it allows agents to perform complex migrations and refactors with significantly higher precision and reduced token overhead.
AI agents are notoriously poor at navigating large codebases because they treat source code as flat text; Java2Graph provides the missing relational layer.
- –Parses Java codebases into semantic graphs to expose transitive dependencies and method hierarchies
- –Replaces inefficient "grep and guess" agent workflows with precise Cypher queries for architectural discovery
- –Successfully discovered 54 callsites in a Log4j migration where standard agents only found 9
- –Enables "agent-native" static analysis that reduces hallucinations and optimizes code changes
- –Open-source release includes a reference implementation and integration for graph-based AI skills
DISCOVERED
46d ago
2026-04-14
PUBLISHED
46d ago
2026-04-14
RELEVANCE
AUTHOR
_h4xr