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arXiv CS.AI
7/31/2026
TraceCoder: Explainable and Auditable Code Generation with Position-Key Snippet Versioning

TraceCoder: Explainable and Auditable Code Generation with Position-Key Snippet Versioning

Short summary

TraceCoder introduces a snippet-history schema that records per-repair-event metadata (benchmark reference, failure text, LLM explanation) alongside a browser-based visualization tool and a stable position-key indexing scheme for code snippets. Evaluated on 30 algorithmic tasks, three in ten snippets carry a traceable repair-event row. The system makes the internal narrative of automated code generation auditable and replayable, which is essential for trust in production deployments.

  • Relational schema records provenance for every code repair event in LLM-based generation
  • Browser visualization renders repair history as heat-mapped, annotated source code
  • 30% of snippets carry traceable repair events; enables full auditability of generated code

Generated with AI, which can make mistakes.

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