
Over eight months, contributed to cedarcode/mi_carrera by building and refining degree and subject planning features for academic software. Delivered semester-based planning, UI/UX modernization, and robust data integrity through database migrations, schema evolution, and validation. Enhanced the planner with Tailwind CSS, Ruby on Rails, and JavaScript, streamlining workflows and improving mobile usability. Implemented feature flags for safe rollout of new degree plans, managed YAML-based subject overrides, and expanded test coverage using RSpec. Addressed both backend and frontend challenges, including asset management, code cleanup, and responsive design, resulting in a maintainable, scalable platform supporting reliable academic planning and analytics.
February 2026 focused on expanding degree planning capabilities in cedarcode/mi_carrera. Delivered new degree options for Agrimensura and Civil Engineering with subject datasets and overrides, and scraped subject data to ensure up-to-date planning information. Introduced 2025 subject overrides data (YAML) to support dynamic course information by semester and status. Implemented degree plan ordering and display-name enhancements, including controller-based sorting and a dedicated display_name field to improve UX and reduce model-level coupling. Managed Computación 2025 through a feature-flag lifecycle across staging and production with warnings for in-progress users and planned removal to minimize rollout risk. Overall, these efforts enhance data reliability, planning accuracy, and business value through safer, scalable feature delivery.
February 2026 focused on expanding degree planning capabilities in cedarcode/mi_carrera. Delivered new degree options for Agrimensura and Civil Engineering with subject datasets and overrides, and scraped subject data to ensure up-to-date planning information. Introduced 2025 subject overrides data (YAML) to support dynamic course information by semester and status. Implemented degree plan ordering and display-name enhancements, including controller-based sorting and a dedicated display_name field to improve UX and reduce model-level coupling. Managed Computación 2025 through a feature-flag lifecycle across staging and production with warnings for in-progress users and planned removal to minimize rollout risk. Overall, these efforts enhance data reliability, planning accuracy, and business value through safer, scalable feature delivery.
In July 2025, cedarcode/mi_carrera delivered significant banner system enhancements and a formatting bug fix, delivering business value by ensuring reliable user-facing banners, improved security, and maintainability. The work improves user engagement consistency, reduces support risk from banner mis-states, and strengthens test coverage and CI readiness.
In July 2025, cedarcode/mi_carrera delivered significant banner system enhancements and a formatting bug fix, delivering business value by ensuring reliable user-facing banners, improved security, and maintainability. The work improves user engagement consistency, reduces support risk from banner mis-states, and strengthens test coverage and CI readiness.
June 2025 monthly summary for cedarcode/mi_carrera: Delivered a cohesive UI/UX refresh, comprehensive frontend cleanup, and key planner enhancements that collectively improve user experience, performance, and maintainability. Implemented a Choices-based subject selector with Stimulus integration, migrated to data-turbo attributes, and completed significant code cleanup and refactors to simplify DOM structure and inline SVG handling. Generalized planner banner system with z-index adjustments and data model support, and updated tests/specs to stabilize planner v2 behavior. These changes enable faster iteration, better scalability, and higher-quality user experience.
June 2025 monthly summary for cedarcode/mi_carrera: Delivered a cohesive UI/UX refresh, comprehensive frontend cleanup, and key planner enhancements that collectively improve user experience, performance, and maintainability. Implemented a Choices-based subject selector with Stimulus integration, migrated to data-turbo attributes, and completed significant code cleanup and refactors to simplify DOM structure and inline SVG handling. Generalized planner banner system with z-index adjustments and data model support, and updated tests/specs to stabilize planner v2 behavior. These changes enable faster iteration, better scalability, and higher-quality user experience.
May 2025 monthly summary for cedarcode/mi_carrera: Completed front-end modernization and planning workflow enhancements across four features, delivering a Tailwind-based UI, semester-focused planning, refreshed SVG icons, and simplified subject planning forms with aligned tests. These changes reduce CSS footprint, improve mobile usability, and accelerate future UI iterations, driving better planning efficiency and user experience.
May 2025 monthly summary for cedarcode/mi_carrera: Completed front-end modernization and planning workflow enhancements across four features, delivering a Tailwind-based UI, semester-focused planning, refreshed SVG icons, and simplified subject planning forms with aligned tests. These changes reduce CSS footprint, improve mobile usability, and accelerate future UI iterations, driving better planning efficiency and user experience.
April 2025: Delivered core UI and test improvements in cedarcode/mi_carrera, focusing on user-facing subject planning enhancements and robust test coverage. Implemented Subject Planning Interface Enhancements to streamline partial rendering, enable two dropdowns for subject selection, and introduced an ordered_by_short_or_full_name scope to support forthcoming ordering features. Modernized the TreePreloader test suite by migrating tests to RSpec to ensure reliable preloading validation for subjects, courses, and prerequisites, including checks for persistence after destruction and name-based filtering. While no major production bugs were reported, these efforts reduce risk, improve user efficiency, and establish a solid foundation for future UX and data-driven improvements. Key technologies include Ruby/Rails, RSpec, and CI-friendly test design.
April 2025: Delivered core UI and test improvements in cedarcode/mi_carrera, focusing on user-facing subject planning enhancements and robust test coverage. Implemented Subject Planning Interface Enhancements to streamline partial rendering, enable two dropdowns for subject selection, and introduced an ordered_by_short_or_full_name scope to support forthcoming ordering features. Modernized the TreePreloader test suite by migrating tests to RSpec to ensure reliable preloading validation for subjects, courses, and prerequisites, including checks for persistence after destruction and name-based filtering. While no major production bugs were reported, these efforts reduce risk, improve user efficiency, and establish a solid foundation for future UX and data-driven improvements. Key technologies include Ruby/Rails, RSpec, and CI-friendly test design.
March 2025 (cedarcode/mi_carrera) focused on delivering Subject Planning UI Enhancements that improve usability and maintainability. Delivered UI improvements, CSS refinements, and test suite updates to ensure the subject selector UI correctly displays and filters by code and name. This work enhances planning speed and accuracy, reduces UI ambiguity, and strengthens test coverage for UI behavior.
March 2025 (cedarcode/mi_carrera) focused on delivering Subject Planning UI Enhancements that improve usability and maintainability. Delivered UI improvements, CSS refinements, and test suite updates to ensure the subject selector UI correctly displays and filters by code and name. This work enhances planning speed and accuracy, reduces UI ambiguity, and strengthens test coverage for UI behavior.
February 2025 focused on delivering core improvements to the subject planning workflow in cedarcode/mi_carrera, combining UI enhancements, data integrity hardening, and ordering/performance refinements. Key changes include a refreshed Subject Planning UI with visible planned subjects and credits, the ability to remove approved planned subjects, and UI/test refinements; strengthened data integrity for SubjectPlan through validations and corrected associations; and a refactored loading/ordering path with a TreePreloader overhaul to support explicit subject collections and stable ordering by category and name. These changes reduce planning errors, improve planner efficiency, and establish a solid foundation for reliable analytics on planning data.
February 2025 focused on delivering core improvements to the subject planning workflow in cedarcode/mi_carrera, combining UI enhancements, data integrity hardening, and ordering/performance refinements. Key changes include a refreshed Subject Planning UI with visible planned subjects and credits, the ability to remove approved planned subjects, and UI/test refinements; strengthened data integrity for SubjectPlan through validations and corrected associations; and a refactored loading/ordering path with a TreePreloader overhaul to support explicit subject collections and stable ordering by category and name. These changes reduce planning errors, improve planner efficiency, and establish a solid foundation for reliable analytics on planning data.
January 2025 — Delivered end-to-end Semester-based Subject Planning for cedarcode/mi_carrera. Implemented a robust DB/schema evolution, table rename to subject_plans, and UI/controller support for assigning subjects to semesters. Added data integrity improvements and fail-fast controller behavior to ensure reliable creation/destruction of subject plans, with foreign keys enforcing referential integrity.
January 2025 — Delivered end-to-end Semester-based Subject Planning for cedarcode/mi_carrera. Implemented a robust DB/schema evolution, table rename to subject_plans, and UI/controller support for assigning subjects to semesters. Added data integrity improvements and fail-fast controller behavior to ensure reliable creation/destruction of subject plans, with foreign keys enforcing referential integrity.

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