How LLMs Can Help Even When They Fail at the Main Task

Summary

Robin Linacre explains how he used LLMs to build Letterpaths, a cursive-handwriting library, despite their inability to generate precise letter geometry or reliably improve joins from screenshots. By having models create editors, visual debugging tools, and font-building workflows, he established a fast human feedback loop for inspecting and correcting the output. The project suggests that LLMs can greatly accelerate software development when humans retain control over quality-critical decisions and use focused GUIs to diagnose problems.