
Tom Reed contributed to the hmcts/darts-api and hmcts/opal-user-service repositories by delivering three backend features over three months, focusing on API enrichment, access control, and contract simplification. He enhanced the Media by ID endpoint to surface linked case and hearing data, updating Java-based mappers and database stubs while expanding integration test coverage. For opal-user-service, Tom built a User State and Permissions API, designing controllers, services, and repositories with JPA and JWT authentication to improve downstream security. He later refactored token endpoints to streamline responses, aligning integration tests and documentation. His work demonstrated depth in Java, Spring Boot, and REST API development.

October 2025 monthly summary for hmcts/opal-user-service focused on API contract simplification for token endpoints. Delivered a lean token response that excludes user state, updated tests to align with the new contract, and prepared downstream impact assessments. No production bug fixes were required this month; the work centered on refactoring, test maintenance, and contract evolution to support secure, scalable token handling.
October 2025 monthly summary for hmcts/opal-user-service focused on API contract simplification for token endpoints. Delivered a lean token response that excludes user state, updated tests to align with the new contract, and prepared downstream impact assessments. No production bug fixes were required this month; the work centered on refactoring, test maintenance, and contract evolution to support secure, scalable token handling.
Month: 2025-07 — Key accomplishments include delivering the User State and Permissions API for hmcts/opal-user-service, providing a robust API surface to retrieve user state with business units and permissions, supported by integration tests. No major bugs fixed this month. The initiative strengthens access control context for downstream services and enables UI and service components to reason about user permissions, improving security and user experience. Technologies demonstrated include API layer design (controllers, services, repositories), DTOs, and automated integration testing, with a focused commit (Po 865 get user state (#194)) to implement the feature.
Month: 2025-07 — Key accomplishments include delivering the User State and Permissions API for hmcts/opal-user-service, providing a robust API surface to retrieve user state with business units and permissions, supported by integration tests. No major bugs fixed this month. The initiative strengthens access control context for downstream services and enables UI and service components to reason about user permissions, improving security and user experience. Technologies demonstrated include API layer design (controllers, services, repositories), DTOs, and automated integration testing, with a focused commit (Po 865 get user state (#194)) to implement the feature.
December 2024 monthly summary for hmcts/darts-api: Delivered enrichment for the Media by ID endpoint to surface linked case and hearing information. Implemented updates to data mappers and database stubs to support richer data retrieval, and added comprehensive integration tests for scenarios with linked cases and actual hearings, as well as cases without associated court records. Result: richer, more accurate media responses and higher test coverage, enabling better downstream analytics and user experience. Business value includes improved data quality, reduced manual reconciliation, and faster issue detection.
December 2024 monthly summary for hmcts/darts-api: Delivered enrichment for the Media by ID endpoint to surface linked case and hearing information. Implemented updates to data mappers and database stubs to support richer data retrieval, and added comprehensive integration tests for scenarios with linked cases and actual hearings, as well as cases without associated court records. Result: richer, more accurate media responses and higher test coverage, enabling better downstream analytics and user experience. Business value includes improved data quality, reduced manual reconciliation, and faster issue detection.
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