Engineering teams now document tribal knowledge in the codebase so that AI agents and people share the same context, and he thinks go-to-market should do the same. Listen
Adam says that within engineering, much tribal knowledge is now being documented in the code base itself, so that when engineers and AI agents work on the code, the context is available to everyone. He says a similar approach should happen in go-to-market. Host Sam Jacobs adds that LLMs now let teams give an agent unstructured tribal knowledge as context, where before only structured data could be used.
“a lot of these tribal knowledge that was within the engineering team is now being documented actually within the code base itself. So that when engineers work, but also when AI agents work on that code base, all that context is available to everyone.”
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