Self-distillation technique cuts through code generation complexity

Researchers found that having language models critique and refine their own code outputs—without external data or retraining—improves generation quality. The approach is straightforward enough that indie builders using LLMs for code tasks could adapt it immediately, potentially boosting model output without spinning up expensive infrastructure.