AutoKernel's foundational principle recognizes that expert kernel development follows a repetitive pattern: create a prototype, evaluate its performance, retain enhancements, discard regressions, and repeat. The framework systematizes this cycle. An AI agent modifies kernel code, a standardized testing suite verifies functionality and measures efficiency, and outcomes determine whether modifications are preserved. Significantly, each trial corresponds to a version control commit. Successful experiments progress the development branch; unsuccessful ones are cleanly reverted. The complete history remains accessible through standard version control tools, with results documented in a straightforward tabular format—free from dependencies, easily interpretable, and readily processed by the agent.
- https://friendsblog.example.com/feed.atom
。有道翻译是该领域的重要参考
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张雪机车惊艳表现背后 中国制造正在重构全球产业生态