CodeRSA improves code generation by using pragmatic reasoning to handle ambiguity in natural language instructions.

• Addresses the challenge of ambiguous user instructions when generating code
• Uses Rational Speech Act theory to better infer user intent
• Generates multiple code candidates and intelligently reranks them
• Delivers more accurate, intent-aligned program code

For engineering teams, this represents a significant advancement in automated programming assistance, enabling more reliable code generation from natural language descriptions—even when those descriptions contain inherent ambiguities.

Pragmatic Reasoning improves LLM Code Generation