Data
Data management is central in the development of solutions within Studio. Although the platform offers great flexibility through the use of numeric tokens and simple structures (arrays), this freedom can lead to inconsistent practices and difficult-to-track errors.
The absence of a formal data typing system and structure, the numerical identification of tokens, and the coupling that is generated between entities when exchanging information reinforce the need for clear guidelines and documentation.
These guidelines enable teams to better organize information, reduce technical and regulatory risks, and facilitate the evolution of solutions. Best practices for data usage should be aligned with Studio's construction logic, especially those that govern application structure and interoperability, such as building modules and invoking transactions.