A Lawrence Livermore National Laboratory researcher presented findings at the HPSF 2026 conference on using LLMs to write Spack packages. The key takeaway is that LLMs can effectively generate Spack packages when given structured guidance, representative examples, and human oversight. The exploration also revealed opportunities to improve Spack itself. The main caveats are ensuring generated output quality and avoiding extra burden on upstream maintainers.
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