Coding agents are becoming tools for building LLM knowledge bases

Planet AI included a new guide on building a powerful LLM knowledge base with help from coding agents. The post focuses on using agents as part of the implementation workflow rather than treating the knowledge base as a static documentation project.

That matters because retrieval systems depend on many small engineering choices: data ingestion, chunking, metadata, evaluation, and refresh logic. Coding agents can accelerate that work, but teams still need structure and validation.

The trend is clear: AI tools are now being used to build the infrastructure that other AI tools depend on.