Using large language models to generate and correct code written in low-resource and domain-specific programming languages

Introduction: Large language models (LLMs) are being used increasingly by programmers to generate code. Apparently, their use seems to be reasonably acceptable when languages such as Python are used, because the Internet contains huge amounts of information and coding examples written in those highly used languages, and this information has been used to train LLMs. On the other hand, little-used languages have much lower resources, while domain-specific languages incorporate features difficult to interpret and incorporate by code-generating tools.