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This has been a fun, exciting and impactful thread of research for the past several decades, but it would be remiss of me at this point to not mention the "e-LLM-ephant" in the room. It has only been a few years, and LLMs and LLM-generated code has already permeated widely across the software ecosystem and continuously forces developers to reevaluate their preconceptions of what is and isn't possible for a machine to generate. Namely, this also includes problems that we might previously have sought to tackle with language design (eliminating boilerplate, capturing conventions or common sense etc.).

ns some output that corresponds to a schema," and, in the full script, we tell the