back to projects
running

Polyglot

RAG-powered codebase intelligence — natural-language querying over a cross-language dependency graph.

LiveGitHub

60% faster

Dependency resolution

<500ms

Query latency

10K+ nodes

Graph scale

6+ lang repoGo / TS / Py …AST parserNeo4j graph10K+ nodesRAG pipelineOpenAI API"why does auth import billing?"architecture questions, answered in plain English — sub-500ms
Polyglot demo — video coming soon
Node.jsNeo4jRAGOpenAI APIDockerRedis

built because grep and Ctrl+F stop working once a codebase spans six languages and you're the new person trying to understand it.

Problem
Cross-language dependency mapping needed to scale across large, multi-language codebases without the slow, ad hoc analysis most tools fall back on.
Solution
A multi-language AST parsing engine feeds a Neo4j graph database, paired with a RAG pipeline over that graph so architecture questions can be asked in plain English instead of grepped for.
Result
60% faster dependency resolution across 6+ language repos, sub-500ms query latency on 10K+ node graphs, adopted by 50+ beta developers for architectural debugging.
DreamerOpenTrade