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```
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> [!TIP]
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> **Phased Implementation**: For complex projects, implement in phases to avoid overwhelming the agent's context. Start with core functionality, validate it works, then add features incrementally.
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## Detailed Example: Building Taskify
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Here's a complete example of building a team productivity platform:
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/speckit.checklist
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```
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### Step 5: Generate Technical Plan with `/speckit.plan`
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### Step 5: Define Tasks
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Generate an actionable task list using the `/speckit.tasks` command:
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```bash
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/speckit.tasks
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```
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### Step 6: Generate Technical Plan with `/speckit.plan`
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Be specific about your tech stack and technical requirements:
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```bash
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/speckit.plan We are going to generate this using .NET Aspire, using Postgres as the database. The frontend should use Blazor server with drag-and-drop task boards, real-time updates. There should be a REST API created with a projects API, tasks API, and a notifications API.
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```
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### Step 6: Validate and Implement
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### Step 7: Validate and Implement
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Have your AI agent audit the implementation plan using `/speckit.analyze`:
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/speckit.implement
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```
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> [!TIP]
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> **Phased Implementation**: For large projects like Taskify, consider implementing in phases (e.g., Phase 1: Basic project/task structure, Phase 2: Kanban functionality, Phase 3: Comments and assignments). This prevents context saturation and allows for validation at each stage.
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## Key Principles
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- **Be explicit** about what you're building and why
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