LLM Code Context vs Superglue

Streamlines code context sharing with LLMs by implementing smart file selection, code outlining, and multi-language support for efficient code reviews and documentation generation.

Drop-in proxy between applications and REST/GraphQL/SQL/file endpoints that automatically handles schema drift detection, data transformation, and pipeline healing using LLM-assisted mapping to create cached JSONata transforms that run without latency and regenerate when upstream schemas change.

Models

Models

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