Uploading a CSV file to LLM might be challenging for the language model to understand. To address this, refining your data structure is necessary for optimal comprehension.
Exploring the limitations of TypeScript and proposing a new language with features like error handling, static data validation, runtime validation, and type switching.
Exploring the concept of a template-based code editor that provides automatic formatting, autocomplete support, and structured coding to enhance coding efficiency and accuracy, while allowing for customization and compilation to the targeted language.
