LLM coding gets 55% faster by running code while it's still being written

Right now, when an AI writes code, it finishes the entire thing before running it — the code interpreter just sits idle while the AI is still typing. This research shows you can start executing code as soon as the AI generates the first few lines, overlapping the thinking and the running instead of doing them one after another.

For any system that uses AI to write code and then run it — think automated testing, code generation tools, or AI developer assistants — this cuts the total time in half. The practical upshot is that interactive AI coding tools get much snappier, which means they become more usable as real development aids instead of batch processors.