Debugging and Refactoring Frontend Architecture

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Debugging and Refactoring Frontend Architecture

  • Day: 2025-11-20
  • Time: 22:10 to 23:15
  • Project: Dev
  • Workspace: WP 2: Operational
  • Status: In Progress
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: Debugging, React, Next.Js, Frontend, Architecture, Error Handling

Description

Session Goal

The session aimed to address and resolve several frontend and backend issues in a React and Next.js application, focusing on debugging, architecture diagnosis, and refactoring efforts.

Key Activities

  • A comprehensive debugging guide was provided to tackle Python TypeErrors, ImportErrors, and frontend/backend connectivity issues.
  • A detailed analysis of frontend issues in a Next.js application was conducted, leading to a pragmatic architecture proposal and specific code changes.
  • A structured frontend architecture was proposed, including concrete implementations for hooks and actionable next steps.
  • A refactor plan was outlined to improve frontend architecture reliability and reduce duplication, focusing on separation of concerns and prioritized implementation.
  • Debugging processes for React components were detailed, with specific fixes for error handling and a QA checklist.
  • Implementation of a frontend architecture for health-related pages was detailed, including API interactions and data fetching.
  • A strategy for restructuring frontend types and implementing normalizers was outlined to enhance data handling.

Achievements

  • Clear debugging instructions and architecture proposals were developed, providing a solid foundation for resolving identified issues.
  • Concrete code implementations and refactoring plans were established to improve application reliability and maintainability.

Pending Tasks

  • Complete the implementation of the proposed frontend architecture changes and conduct thorough testing.
  • Finalize the refactoring of React components and ensure all error handling mechanisms are robust.
  • Implement the type consolidation and normalization strategy to enhance data handling efficiency.

Evidence

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  • event_ids: []

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