Giangiacomo Guerreschi developed a feature for the tqec/tqec repository that enables the generation of quantum circuit plaquettes from RPNG strings, allowing users to define custom circuits through a structured input format. He implemented robust input validation and a dedicated plaquette generation function, laying the foundation for extensible circuit definitions by introducing new classes and comprehensive tests for both RPNG and RAPNG descriptions. Working primarily in Python and Jupyter Notebook, Giangiacomo focused on circuit generation, data structures, and error handling. The work emphasized code quality and test coverage, ensuring the new components are reliable and adaptable for user-defined quantum workflows.