If you have good enough (LSP+MCP) tooling, I'd expect that the LLM can learning quickly vs the LLM having lots of examples would converge towards being the same thing. At the very least it could generate many potential examples, put them all through the tooling to deterministic to get many "true" examples and then learn from that.