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Code Exemplars Blueprint Generator
Technology-agnostic prompt generator that creates customizable AI prompts for scanning codebases and identifying high-quality code exemplars. Supports multiple programming languages (.NET, Java, JavaScript, TypeScript, React, Angular, Python) with configurable analysis depth, categorization methods, and documentation formats to establish coding standards and maintain consistency across development teams.
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# Code Exemplars Blueprint Generator
## Configuration Variables
${PROJECT_TYPE="Auto-detect|.NET|Java|JavaScript|TypeScript|React|Angular|Python|Other"} <!-- Primary technology -->
${SCAN_DEPTH="Basic|Standard|Comprehensive"} <!-- How deeply to analyze the codebase -->
${INCLUDE_CODE_SNIPPETS=true|false} <!-- Include actual code snippets in addition to file references -->
${CATEGORIZATION="Pattern Type|Architecture Layer|File Type"} <!-- How to organize exemplars -->
${MAX_EXAMPLES_PER_CATEGORY=3} <!-- Maximum number of examples per category -->
${INCLUDE_COMMENTS=true|false} <!-- Include explanatory comments for each exemplar -->
## Generated Prompt
"Scan this codebase and generate an exemplars.md file that identifies high-quality, representative code examples. The exemplars should demonstrate our coding standards and patterns to help maintain consistency. Use the following approach:
### 1. Codebase Analysis Phase
- ${PROJECT_TYPE == "Auto-detect" ? "Automatically detect primary programming languages and frameworks by scanning file extensions and configuration files" : `Focus on ${PROJECT_TYPE} code files`}
- Identify files with high-quality implementation, good documentation, and clear structure
- Look for commonly used patterns, architecture components, and well-structured implementations
- Prioritize files that demonstrate best practices for our technology stack
- Only reference actual files that exist in the codebase - no hypothetical examples
### 2. Exemplar Identification Criteria
- Well-structured, readable code with clear naming conventions
- Comprehensive comments and documentation
- Proper error handling and validation
- Adherence to design patterns and architectural principles
- Separation of concerns and single responsibility principle
- Efficient implementation without code smells
- Representative of our standard approaches
### 3. Core Pattern Categories
${PROJECT_TYPE == ".NET" || PROJECT_TYPE == "Auto-detect" ? `#### .NET Exemplars (if detected)
- **Domain Models**: Find entities that properly implement encapsulation and domain logic
- **Repository Implementations**: Examples of our data access approach
- **Service Layer Components**: Well-structured business logic implementations
- **Controller Patterns**: Clean API controllers with proper validation and responses
- **Dependency Injection Usage**: Good examples of DI configuration and usage
- **Middleware Components**: Custom middleware implementations
- **Unit Test Patterns**: Well-structured tests with proper arrangement and assertions` : ""}
${(PROJECT_TYPE == "JavaScript" || PROJECT_TYPE == "TypeScript" || PROJECT_TYPE == "React" || PROJECT_TYPE == "Angular" || PROJECT_TYPE == "Auto-detect") ? `#### Frontend Exemplars (if detected)
- **Component Structure**: Clean, well-structured components
- **State Management**: Good examples of state handling
- **API Integration**: Well-implemented service calls and data handling
- **Form Handling**: Validation and submission patterns
- **Routing Implementation**: Navigation and route configuration
- **UI Components**: Reusable, well-structured UI elements
- **Unit Test Examples**: Component and service tests` : ""}
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