Add real-time task search/filter to task list

[Copilot]

Users had no way to find specific tasks in the list. This adds a client-side text filter that narrows the visible task list on every keystroke, with no extra API calls.

Key changes

frontend/index.html

• Search input (#searchInput) injected between the add-task form and #taskList

frontend/script.js

• allTasks[] caches the full task list in memory — filtering never hits the API
• renderTasks() replaces direct DOM writes in fetchTasks; applies the current search query before rendering
• input event on #searchInput triggers renderTasks() for live filtering
• On new task submit, search is cleared so the new item is immediately visible
• deleteTask prunes allTasks locally and calls renderTasks() — removes the unnecessary refetch

frontend/style.css

• .search-container / #searchInput styles use existing CSS custom properties (--input-bg, --text-color, etc.) — automatically inherits light/dark theme

function renderTasks() {
  const query = searchInput.value.toLowerCase().trim();
  const filtered = query
    ? allTasks.filter(task => task.title.toLowerCase().includes(query))
    : allTasks;
  taskList.innerHTML = '';
  filtered.forEach(addTaskToDOM);
}

Original prompt

Start implementation

The user has attached the following file paths as relevant context:

• .github\copilot-instructions.md

[Chronological Review: The conversation began with the user requesting the addition of a search functionality to filter tasks in a task list. The user specified that the filter should be dynamic and update in real-time as the user types. Following this, the user requested a translation of the plan into Spanish, indicating a need for clarity in the implementation steps. The user then commanded to start the implementation of the requested feature.]

[Intent Mapping:

1. "Agrega funcionalidad que permita al usuario buscar tareas específicas dentro de la lista actual mediante un filtro de texto." - User wants to implement a search filter for tasks.
2. "puedes responder o traducir ese plan al espanol" - User requests a translation of the plan into Spanish for better understanding.
3. "Start implementation" - User commands to begin the implementation of the search functionality.]

[Technical Inventory:

• Technologies: JavaScript (for dynamic filtering), HTML/CSS (for UI components).
• Frameworks: Potential use of React or similar for real-time updates.
• Architectural Decisions: Implementing a search input field that filters tasks based on user input.]

[Code Archaeology: No specific files or code changes have been discussed yet, but the implementation will likely involve modifying the task list component and adding a new search input field.]

[Progress Assessment:

• Completed Tasks: User requests for functionality and translation.
• Partially Complete Work: Implementation of the search functionality has not yet started but is about to begin.]

[Context Validation: All necessary context for continuing the implementation of the search functionality is captured, including user requirements for dynamic filtering and real-time updates.]

[Recent Commands Analysis:

• Last Agent Commands: The user issued a command to "Start implementation."
• Tool Results Summary: No tool results were generated as the command was a directive to begin work.
• Pre-Summary State: The agent was preparing to start the implementation of the search functionality when the token budget was exceeded.
• Operation Context: The command to start implementation directly relates to the user's goal of adding a search feature to the task list.]

1. Conversation Overview: - Primary Objectives: 1. "Agrega funcionalidad que permita al usuario buscar tareas específicas dentro de la lista actual mediante un filtro de texto." 2. "puedes responder o traducir ese plan al espanol." 3. "Start implementation." - Session Context: The conversation focused on enhancing a task list with a search feature, followed by a request for translation and a command to begin implementation. - User Intent Evolution: The user transitioned from requesting functionality to seeking clarity through translation, and finally to initiating the implementation.

2. Technical Foundation:

• JavaScript: Used for implementing dynamic filtering functionality.
• HTML/CSS: For creating the user interface components.
• Potential Framework: React or similar for real-time updates.

3. Codebase Status:

• No specific files have been modified yet, but the implementation will involve creating a search input field and modifying the task list component.

4. Problem Resolution:

• Issues Encountered: None reported yet as the implementation has not started.
• Solutions Implemented: Not applicable at this stage.
• Debugging Context: No ongoing issues as the feature is yet to be implemented.
• Lessons Learned: Not applicable yet.

5. Progress Tracking:

• Completed Tasks: User requests for functionality and translation.
• Partially Complete Work: Implementation of the search functionality is pending.
• Validated Outcomes: None yet, as the feature has not been implemented.

6. Active Work State:

• Current Focus: Preparing to implement the search functionality for the task list.
• Recent Context: The user has requested to start the implementation of the search feature.
• Working Code: No specific code snippets have been discussed yet.
• Immediate Context: The user is ready to begin the implementation of the search functionality.

7. Recent Operations:

• Last Agent Commands: "Start implementation."
• Tool Results Summary: No tool results were generated as this was a directive.
• Pre-Summary State: The agent was preparing to start the implementation of the search functionality.
• Operation Context: The command to start implementation is directly connected to the user's goal of enhancing the task list with a search feature.

8. Continuation Plan:

• Pending Task 1: Implement the search functionality with a dynamic filter for tasks.
• Pending Task 2: Ensure the filter updates in real-time as the user types.
• Priority Information: The implementation of the search feature is the most urgent task.
• Next Action: Begin coding the search input field an...

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