
WEEK_8:_REPOSITORY_MIGRATION_AND_RAPID_MODULE_INTEGRATION
Mr. Anton
Initiated the migration of five specialized modules from the DepEd project into the PSMS repository. Audited existing data structures and designed missing database schemas for all assigned modules. Developed robust backend endpoints to support end-to-end CRUD functionalities. Implemented the frontend interfaces for all 5 modules, ensuring visual consistency with the PSMS environment. Utilized AI tools to accelerate code generation and boilerplate setup for rapid delivery. Verified data integrity during the transition from the legacy project format to the new system architecture. Completed full end-to-end development of all assigned modules within a 6-day sprint.
Schema Architecture and Legacy Migration
Week 8 centered on a significant migration task: porting five modules from a previous DepEd project into our current PSMS repository. Upon initial inspection, I discovered that the required database schemas were non-existent in the new system. My first priority was to architect and implement these schemas to ensure a solid foundation. Given the high volume of work, I focused on creating a standardized data model that would support the transition while maintaining compatibility with our existing PSMS backend patterns.



Rapid End-to-End Development
Once the database layer was settled, I moved into an intensive development phase covering both the backend and frontend for all five modules. The features were primarily CRUD-based, which allowed me to leverage AI tools effectively to handle repetitive boilerplate and speed up the coding process. By automating the more standard parts of the development cycle, I was able to complete the end-to-end functionality—including UI integration—for all modules in just six days. This ensured that the PSMS project gained the necessary legacy features without stalling the overall sprint timeline.
Completing five modules in such a short window highlighted the importance of project familiarity and the effective use of AI in software engineering. While the backend logic was straightforward, the challenge lay in the sheer volume of integration and ensuring that each migrated module felt like a native part of the PSMS ecosystem.