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Scalable, Validated Code Translation of Entire Projects using Large Language Models

Talkat PLDI 2025 · 2025-06-16..06-20· [ai-assisted-development]
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An LLM-based pipeline translates whole Go repositories to Rust by partitioning code into functions/types, prompting with predefined feature mapping rules (e.g. lazy initialization, Result/anyhow error mapping, interface→trait) and validating candidates with execution snapshots from Go unit tests via differential testing and serialization. A type-driven type compatibility check rejects signatures that would crash the Rust harness. The system translates projects up to 9,700 LOC and 780 functions, reaching ~98% compilation and ~73% I/O-equivalence per-function, with concurrency unsupported and a bounded regeneration budget.

AI-written summary · about

  1. 0:00Introduction
  2. 1:48Modular translation approach
  3. 3:53Feature mapping for constructs
  4. 6:21Type compatibility checks
  5. 10:17Execution snapshots testing
  6. 13:12Experimental evaluation
  7. 14:58Conclusion and future work
  8. 15:18Q&A
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