[WIP] Production-Ready Code Generation for AI Interview Assistant Components

[Copilot]

AI Interview Assistant - QuestionQueue and Timer Components Implementation

• Analyze existing repository structure and components
• Review existing ChatBox, Message, and ResumeUpload components for consistency
• Create Timer.tsx component with countdown functionality and shadcn Progress bar
• Create QuestionQueue.tsx component to manage interview questions
• Implement Redux integration for question management and answer storage
• Test timer functionality and auto-submission
• Test question queue navigation and state management
• Verify integration with existing ChatBox component
• Add error handling and responsive design
• Final testing and cleanup

The components will follow the existing patterns seen in the codebase:

• Use TypeScript with proper type definitions
• Integrate with Redux Toolkit for state management
• Use shadcn/ui components for consistent styling
• Follow clean code practices with modular functions

Original prompt

You are a senior React + TypeScript engineer.
Project: AI Interview Assistant (frontend only).
Stack: React + Redux Toolkit, IndexedDB persistence, shadcn/ui components, clean responsive UI, friendly error handling.

I will give you exact file paths. You must output full production-ready code for those files only, no placeholders, no outside explanations.
Follow strict clean code, typed props, modular functions. Use shadcn/ui components where applicable.

Files to generate now:

1. frontend/src/components/Chat/QuestionQueue.tsx

   • Manages a queue of 6 AI-generated questions (2 easy, 2 medium, 2 hard).
   • Renders one question at a time in chat format.
   • Works with Timer to auto-submit when time expires.
   • Dispatches Redux actions to store answers in interviewSlice.
   • After final question, triggers summary/score request flow.

2. frontend/src/components/UI/Timer.tsx

   • Reusable countdown timer (20s/60s/120s).
   • Props: duration, onTimeout.
   • Shows numeric countdown + progress bar (use shadcn Progress).
   • Auto-calls onTimeout when timer reaches 0.
   • Clean responsive design.

Output only the full code for these two files, nothing else.

The following is a snapshot of a chat conversation between a user and an AI coding assistant. Prioritize later messages in the conversation.
User: Where is the configuration for this project defined?
AI: The configuration for this project is primarily defined in the following files:

AI: and
AI: : TypeScript configuration for backend and frontend.

AI: and
AI: : Project dependencies, scripts, and metadata for backend and frontend.

• Additional configuration may exist in files like .env (not shown), or in custom config files within the src directories.

If you need details about a specific configuration (TypeScript, environment variables, build tools, etc.), let me know!
User: You are a senior React + TypeScript engineer.
Project: AI Interview Assistant (frontend only).
Stack: React + Redux Toolkit, IndexedDB persistence, shadcn/ui components, clean responsive UI, friendly error handling.

I will give you exact file paths. You must output full production-ready code for those files only, no placeholders, no outside explanations.
Follow strict clean code, typed props, modular functions. Use shadcn/ui components where applicable.

Files to generate now:

1. frontend/src/components/Chat/ChatBox.tsx

   • Manages chat flow between candidate and AI.
   • Displays queued questions (from Redux store).
   • Shows countdown timer for each question (use Timer component).
   • Input box for candidate answer with submit button.
   • On submit → dispatch Redux action to save answer + move to next question.
   • Scrollable chat view with smooth UX.

2. frontend/src/components/Chat/Message.tsx

   • Reusable message bubble for chat.
   • Props: sender: "AI" | "Candidate", text: string.
   • Different background colors for AI vs Candidate.
   • Clean responsive style with shadcn Card + Typography.

Output only the full code for these two files, nothing else.

AI: I'll generate the production-ready code for the two requested files.
AI: I've created both files with production-ready code for the AI Interview Assistant frontend application. The lint errors you're seeing are expected since the TypeScript compiler doesn't have access to the necessary type definitions and module imports in this isolated file creation context.

These files implement:

1. Message.tsx: A reusable message component that renders differently styled chat bubbles based on the sender (AI or Candidate).

2. ChatBox.tsx: A comprehensive chat interface that:

   • Displays the conversation history with the AI
   • Shows current question and timer
   • Provides an answer input area with submission handling
   • Connects to Redux store for state management
   • Implements auto-scrolling and smooth UX
   • Includes responsive design with a sidebar question queue

When your project is properly set up with all dependencies, the files will compile correctly as they follow TypeScript and React best practices.
User: You are a senior React + TypeScript engineer.
Project: AI Interview Assistant (frontend only).
Stack: React + Redux Toolkit, IndexedDB persistence, shadcn/ui components, clean responsive UI, friendly error handling.

I will give you exact file paths. You must output full production-ready code for those files only, no placeholders, no outside explanations.
Follow strict clean code, typed props, modular functions. Use shadcn/ui components where applicable.

Files to generate now:

1. frontend/src/components/Chat/ResumeUpload.tsx
   • Allows candidate to upload resume (PDF required, DOCX optional).
   • Validate file type and size. If invalid → trigger friendly Modal error.
   • On valid upload → parse file using utils/fileParser.ts.
   • Dispatch Redux action to save ext...

Created from VS Code via the [GitHub Pull Request](https://marketplace.visualstudio.com/items?itemName=GitHub.vscode-pull-request-github) extension.

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