FAST 2026

Meta Info

Homepage: https://www.usenix.org/conference/fast26

Paper list: https://www.usenix.org/conference/fast26/technical-sessions

Acceptance Rate

17.5% (= 31 / 177)

Papers

AI for Systems

• Generative File Systems

  • Sharpen the Spec, Cut the Code: A Case for Generative File System with SYSSPEC [Personal Notes] [Paper] [PDF] [arXiv] [Code] [Homepage] [Slides] [Video]

    • SJTU

    • Best Paper; Distinguished Artifact Award

    • Introduce generative file systems, where LLMs generate and evolve a file system from specifications instead of ambiguous natural-language prompts.

    • Use a multi-part SYSSPEC specification for functionality, modularity, and concurrency, plus DAG-structured patches for feature evolution without violating existing invariants.

    • Generate SPECFS, a concurrent file system that matches a manually coded baseline across regression tests and integrates 10 real-world Ext4 features.