reference-architecture-generation

To generate a CNCF reference architecture from a KubeCon transcript, provide structured input including deep analysis, diagram specifications, and video metadata to produce publication-ready Markdown formatted for TAB submission.

A CNCF reference architecture is a fact-based technical document detailing a company's cloud-native journey, including background, technical challenges, and implementation details. You need one to submit your Kubernetes or service mesh use case to the CNCF Technical Advisory Board.

No, KubeCon video metadata alone is insufficient. Generating a valid CNCF TAB submission requires structured input combining deep analysis, diagram specifications, company information, and a corrected transcript to ensure factual accuracy.

Fact-grounding during technical documentation generation works by validating all output content strictly against a corrected video transcript. This ensures the resulting reference architecture is fully traceable and adheres to CNCF standards.

The best way to format reference architectures for CNCF compliance is to automate document generation from structured inputs, ensuring the resulting Markdown covers architecture overviews, implementation details, and results traceable to a corrected transcript.

A key limitation is that the generated reference architecture content is strictly bound to the provided corrected transcript and structured input. It cannot infer external context, meaning inaccurate source data will result in non-compliant CNCF documentation.