iterabledata

AI and LLM integration for IterableData. Use when working with iterable.ai, autodoc, LLM providers, catalog, or agent-facing APIs.

Guide for implementing new data formats in IterableData. Use when adding support for new file formats, compression codecs, or extending format capabilities.

Guide for implementing database engines in IterableData. Use when adding support for new SQL or NoSQL databases, implementing DBDriver classes, or extending database capabilities.

Core development workflows, patterns, and conventions for IterableData. Use when implementing features, fixing bugs, or working with the codebase structure.

OpenSpec proposal creation, validation, and implementation workflows. Use when creating change proposals, implementing specs, or working with OpenSpec conventions.

Testing conventions, patterns, and best practices for IterableData. Use when writing tests, debugging test failures, or establishing test coverage.