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An x86-64 back end for raven-uxn

3 days ago
  • #AI-assisted-coding
  • #performance-optimization
  • #assembly
  • The author implemented an x86-64 assembly backend for the Uxn CPU, which is twice as fast as their previous Rust implementation.
  • The implementation was initially written by Claude Code, an AI coding assistant, and then refined by the author.
  • The process involved porting 2000 lines of ARM64 assembly to x86-64, with the AI handling most of the initial translation.
  • The AI-assisted implementation passed unit tests and fuzzing, though it required human intervention to fix some issues.
  • The author improved the AI-generated assembly code, optimizing register usage and reducing unnecessary instructions.
  • A subtle bug was discovered during fuzzing, which was eventually traced to an out-of-bounds write in the STR instruction.
  • The author used Valgrind and GDB to debug the issue, a method they found more effective than printf debugging.
  • The final implementation was merged into the project, with the author reflecting on the role of AI in coding and debugging.
  • The author remains cautious about over-reliance on AI for coding but acknowledges its utility in debugging complex issues.