The Task and Implementation Plan is a detailed document that translates project goals and architecture into actionable tasks. It incorporates clear steps for development, specifies how AI tools will be utilized, and ensures consistent progress tracking. This document is essential for both individual contributors and team collaboration.
- Define Actionable Tasks: Breaks down features and architecture into implementable units.
- Guide AI Usage: Details how AI tools (GitHub Copilot, OpenAI, Claude) assist in specific tasks.
- Ensure Progress Tracking: Provides a checklist of tasks and their completion status.
- Streamline Testing: Outlines testing processes alongside implementation steps.
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Frontend Tasks
- What it includes:
- Component-level tasks for the user interface (e.g., create a navbar, widget system).
- AI-specific prompts for generating or refactoring code.
- How it aligns:
- Directly references components detailed in the Technical Blueprint.
- What it includes:
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Backend Tasks
- What it includes:
- API endpoints, database schema, and server logic.
- Validation steps for AI-generated backend code.
- How it aligns:
- Relates to the system’s architecture and workflows in the Technical Blueprint.
- What it includes:
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AI Integration
- What it includes:
- Strategies for utilizing AI in task execution (e.g., prompts, validation processes).
- How to iteratively refine outputs.
- How it aligns:
- Implements the AI Workflow section from the Technical Blueprint.
- What it includes:
-
Testing Plan
- What it includes:
- Unit tests for individual components.
- Integration tests for verifying system-wide interactions.
- How it aligns:
- Testing requirements outlined in the Code Review and Change Log.
- What it includes:
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Execution Workflow
- What it includes:
- A step-by-step guide for each task:
- Identify: Define the task.
- Analyze: Break down into smaller units.
- Code Changes: Use AI tools for initial scaffolding or refactoring.
- Code Implementation: Apply changes to the codebase.
- Testing: Validate functionality and update logs.
- A step-by-step guide for each task:
- How it aligns:
- Applies the technical context from the Technical Blueprint and tracks progress for the Release and Deployment Guide.
- What it includes:
Section | Purpose in Plan | Connection to Other Documents |
---|---|---|
Frontend Tasks | Details UI components and interactions. | Uses components and prompts outlined in the Technical Blueprint. |
Backend Tasks | Defines server logic and APIs. | Builds on backend architecture described in the Technical Blueprint. |
AI Integration | Specifies how AI contributes to tasks. | Implements the AI Workflow section from the Technical Blueprint. |
Testing Plan | Outlines unit and integration tests. | Uses the goals and success criteria from the PSD to validate functionality. |
Execution Workflow | Details steps for completing tasks. | Forms the basis for tracking in the Code Review and Change Log and informs deployment in the Release Guide. |
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Define Frontend Tasks
- Break down UI requirements into specific components.
- Example:
- Component: Navbar
- Task: Create a responsive navbar with dropdowns.
- AI Prompt: "Generate a React component for a responsive navbar using Tailwind CSS with dropdown functionality."
- Component: Navbar
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Define Backend Tasks
- Outline APIs, server logic, and database models.
- Example:
- API Endpoint:
/widgets
- Task: Create an API for fetching widget data.
- AI Prompt: "Write a Bun server route for fetching widget data from an SQLite database."
- API Endpoint:
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Document AI Integration
- Specify tools and their usage.
- Example:
- GitHub Copilot: For generating reusable frontend components.
- OpenAI: For writing and explaining backend logic.
- Validation: "Review AI-generated code for potential security vulnerabilities."
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Create a Testing Plan
- Define test cases for each task.
- Example:
- Unit Test: Verify API response formats.
- AI Prompt: "Generate Jest tests for verifying the
/widgets
API response."
- AI Prompt: "Generate Jest tests for verifying the
- Unit Test: Verify API response formats.
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Draft Execution Workflows
- Outline the steps for completing tasks.
- Example Workflow for Frontend Component:
- Identify: Define the component requirements.
- Analyze: Break down the component into props, styles, and states.
- Code Changes: Use Copilot to scaffold the initial component.
- Code Implementation: Refactor and integrate the generated code.
- Testing: Run tests and validate the component.
# Task and Implementation Plan
## Frontend Tasks
1. **Navbar Component**
- **Description**: Create a responsive navbar with dropdowns.
- **AI Prompt**: "Generate a React component for a responsive navbar using Tailwind CSS."
- **Testing**: Verify dropdown functionality and responsiveness.
2. **Widget System**
- **Description**: Implement a drag-and-drop widget system.
- **AI Prompt**: "Write a React component for a drag-and-drop grid using Tailwind CSS."
- **Testing**: Ensure widgets resize and persist their state.
## Backend Tasks
1. **Widgets API**
- **Description**: Create an endpoint for retrieving widget data.
- **AI Prompt**: "Write a Bun server route for fetching widget data from SQLite."
- **Testing**: Validate API responses with mock data.
2. **Authentication System**
- **Description**: Implement JWT-based authentication.
- **AI Prompt**: "Generate a Bun middleware for verifying JWT tokens."
- **Testing**: Test role-based access for protected routes.
## AI Integration
- **Frontend**: Use GitHub Copilot for generating reusable components.
- **Backend**: Use OpenAI for API scaffolding and Claude for task breakdowns.
- **Validation**: Review and test all AI-generated code.
## Testing Plan
- **Unit Tests**:
- Example: Verify navbar dropdown functionality.
- **Integration Tests**:
- Example: Validate data flow between frontend and backend for widget interactions.
## Execution Workflow
1. **Identify**: Define the task.
2. **Analyze**: Break it into smaller units.
3. **Code Changes**: Use AI tools for initial scaffolding.
4. **Code Implementation**: Refactor and integrate.
5. **Testing**: Validate and update the testing logs.
- Detailed Task Guidance: Each task is broken down into manageable units with clear AI prompts and testing steps.
- Consistent Progress Tracking: Tracks progress across tasks and aligns with milestones in the PSD.
- Integrated AI Usage: Ensures AI tools are effectively utilized with validation processes in place.
- Streamlined Collaboration: Simplifies coordination between team members and ensures alignment with the Technical Blueprint.
Let me know if you'd like to expand further or create an example task plan for a specific use case!