modo-carreira-padrao

Enforce layered architecture in Python by separating code into Dados, Logica, UI, and Utils layers. This standardization reduces technical debt by ensuring strict separation of concerns and improving overall project maintainability.

Standardize Python code modifications by enforcing snake_case naming conventions, mandatory type hints, and docstrings across all new changes. This ensures consistent code quality and reduces maintenance overhead during feature development.

Safe JSON schema migrations in Python require consistent data handling and schema validation before applying changes. Enforcing safe migration patterns prevents data corruption and ensures backward compatibility when modifying data structures.

PySide6 integrates effectively with strict layered architecture by isolating all interface components within the UI layer. This separation ensures that interface logic remains decoupled from data and business logic, maintaining code standardization.

Automate pattern auditing for Python code standardization by running the auditar_padrao.py script before committing changes. This script automatically checks code against architectural patterns, naming conventions, and type hint requirements to ensure compliance.

Enforcing strict code standardization in Python projects limits rapid prototyping flexibility by requiring mandatory docstrings, type hints, and architectural compliance checks before commits. This overhead is a trade-off for achieving long-term maintainability and consistent code quality.