technology-stack-blueprint-generator

name	technology-stack-blueprint-generator
description	Comprehensive technology stack blueprint generator that analyzes codebases to create detailed architectural documentation. Automatically detects technology stacks, programming languages, and implementation patterns across multiple platforms (.NET, Java, JavaScript, React, Python). Generates configurable blueprints with version information, licensing details, usage patterns, coding conventions, and visual diagrams. Provides implementation-ready templates and maintains architectural consistency for guided development. Use when this capability is needed.
metadata	{"author":"clouds-anr"}

Comprehensive Technology Stack Blueprint Generator

Configuration Variables

${PROJECT_TYPE="Auto-detect|.NET|Java|JavaScript|React.js|React Native|Angular|Python|Other"} ${DEPTH_LEVEL="Basic|Standard|Comprehensive|Implementation-Ready"} ${INCLUDE_VERSIONS=true|false} ${INCLUDE_LICENSES=true|false} ${INCLUDE_DIAGRAMS=true|false} ${INCLUDE_USAGE_PATTERNS=true|false} ${INCLUDE_CONVENTIONS=true|false} ${OUTPUT_FORMAT="Markdown|JSON|YAML|HTML"} ${CATEGORIZATION="Technology Type|Layer|Purpose"}

Generated Prompt

"Analyze the codebase and generate a ${DEPTH_LEVEL} technology stack blueprint that thoroughly documents technologies and implementation patterns to facilitate consistent code generation. Use the following approach:

1. Technology Identification Phase

• ${PROJECT_TYPE == "Auto-detect" ? "Scan the codebase for project files, configuration files, and dependencies to determine all technology stacks in use" : "Focus on ${PROJECT_TYPE} technologies"}
• Identify all programming languages by examining file extensions and content
• Analyze configuration files (package.json, .csproj, pom.xml, etc.) to extract dependencies
• Examine build scripts and pipeline definitions for tooling information
• ${INCLUDE_VERSIONS ? "Extract precise version information from package files and configuration" : "Skip version details"}
• ${INCLUDE_LICENSES ? "Document license information for all dependencies" : ""}

2. Core Technologies Analysis

${PROJECT_TYPE == ".NET" || PROJECT_TYPE == "Auto-detect" ? "#### .NET Stack Analysis (if detected)

• Target frameworks and language versions (detect from project files)
• All NuGet package references with versions and purpose comments
• Project structure and organization patterns
• Configuration approach (appsettings.json, IOptions, etc.)
• Authentication mechanisms (Identity, JWT, etc.)
• API design patterns (REST, GraphQL, minimal APIs, etc.)
• Data access approaches (EF Core, Dapper, etc.)
• Dependency injection patterns
• Middleware pipeline components" : ""}

${PROJECT_TYPE == "Java" || PROJECT_TYPE == "Auto-detect" ? "#### Java Stack Analysis (if detected)

• JDK version and core frameworks
• All Maven/Gradle dependencies with versions and purpose
• Package structure organization
• Spring Boot usage and configurations
• Annotation patterns
• Dependency injection approach
• Data access technologies (JPA, JDBC, etc.)
• API design (Spring MVC, JAX-RS, etc.)" : ""}

${PROJECT_TYPE == "JavaScript" || PROJECT_TYPE == "Auto-detect" ? "#### JavaScript Stack Analysis (if detected)

• ECMAScript version and transpiler settings
• All npm dependencies categorized by purpose
• Module system (ESM, CommonJS)
• Build tooling (webpack, Vite, etc.) with configuration
• TypeScript usage and configuration
• Testing frameworks and patterns" : ""}

${PROJECT_TYPE == "React.js" || PROJECT_TYPE == "Auto-detect" ? "#### React Analysis (if detected)

• React version and key patterns (hooks vs class components)
• State management approach (Context, Redux, Zustand, etc.)
• Component library usage (Material-UI, Chakra, etc.)
• Routing implementation
• Form handling strategies
• API integration patterns
• Testing approach for components" : ""}

${PROJECT_TYPE == "Python" || PROJECT_TYPE == "Auto-detect" ? "#### Python Analysis (if detected)

• Python version and key language features used
• Package dependencies and virtual environment setup
• Web framework details (Django, Flask, FastAPI)
• ORM usage patterns
• Project structure organization
• API design patterns" : ""}

3. Implementation Patterns & Conventions

${INCLUDE_CONVENTIONS ? "Document coding conventions and patterns for each technology area:

Naming Conventions

• Class/type naming patterns
• Method/function naming patterns
• Variable naming conventions
• File naming and organization conventions
• Interface/abstract class patterns

Code Organization

• File structure and organization
• Folder hierarchy patterns
• Component/module boundaries
• Code separation and responsibility patterns

Common Patterns

• Error handling approaches
• Logging patterns
• Configuration access
• Authentication/authorization implementation
• Validation strategies
• Testing patterns" : ""}

4. Usage Examples

${INCLUDE_USAGE_PATTERNS ? "Extract representative code examples showing standard implementation patterns:

API Implementation Examples

• Standard controller/endpoint implementation
• Request DTO pattern
• Response formatting
• Validation approach
• Error handling

Data Access Examples

• Repository pattern implementation
• Entity/model definitions
• Query patterns
• Transaction handling

Service Layer Examples

• Service class implementation
• Business logic organization
• Cross-cutting concerns integration
• Dependency injection usage

UI Component Examples (if applicable)

• Component structure
• State management pattern
• Event handling
• API integration pattern" : ""}

5. Technology Stack Map

${DEPTH_LEVEL == "Comprehensive" || DEPTH_LEVEL == "Implementation-Ready" ? "Create a comprehensive technology map including:

Core Framework Usage

• Primary frameworks and their specific usage in the project
• Framework-specific configurations and customizations
• Extension points and customizations

Integration Points

• How different technology components integrate
• Authentication flow between components
• Data flow between frontend and backend
• Third-party service integration patterns

Development Tooling

• IDE settings and conventions
• Code analysis tools
• Linters and formatters with configuration
• Build and deployment pipeline
• Testing frameworks and approaches

Infrastructure

• Deployment environment details
• Container technologies
• Cloud services utilized
• Monitoring and logging infrastructure" : ""}

6. Technology-Specific Implementation Details

${PROJECT_TYPE == ".NET" || PROJECT_TYPE == "Auto-detect" ? "#### .NET Implementation Details (if detected)

• Dependency Injection Pattern:

  • Service registration approach (Scoped/Singleton/Transient patterns)
  • Configuration binding patterns

• Controller Patterns:

  • Base controller usage
  • Action result types and patterns
  • Route attribute conventions
  • Filter usage (authorization, validation, etc.)

• Data Access Patterns:

  • ORM configuration and usage
  • Entity configuration approach
  • Relationship definitions
  • Query patterns and optimization approaches

• API Design Patterns (if used):

  • Endpoint organization
  • Parameter binding approaches
  • Response type handling

• Language Features Used:

  • Detect specific language features from code
  • Identify common patterns and idioms
  • Note any specific version-dependent features" : ""}

${PROJECT_TYPE == "React.js" || PROJECT_TYPE == "Auto-detect" ? "#### React Implementation Details (if detected)

• Component Structure:

  • Function vs class components
  • Props interface definitions
  • Component composition patterns

• Hook Usage Patterns:

  • Custom hook implementation style
  • useState patterns
  • useEffect cleanup approaches
  • Context usage patterns

• State Management:

  • Local vs global state decisions
  • State management library patterns
  • Store configuration
  • Selector patterns

• Styling Approach:

  • CSS methodology (CSS modules, styled-components, etc.)
  • Theme implementation
  • Responsive design patterns" : ""}

7. Blueprint for New Code Implementation

${DEPTH_LEVEL == "Implementation-Ready" ? "Based on the analysis, provide a detailed blueprint for implementing new features:

• File/Class Templates: Standard structure for common component types
• Code Snippets: Ready-to-use code patterns for common operations
• Implementation Checklist: Standard steps for implementing features end-to-end
• Integration Points: How to connect new code with existing systems
• Testing Requirements: Standard test patterns for different component types
• Documentation Requirements: Standard doc patterns for new features" : ""}

${INCLUDE_DIAGRAMS ? "### 8. Technology Relationship Diagrams

• Stack Diagram: Visual representation of the complete technology stack
• Dependency Flow: How different technologies interact
• Component Relationships: How major components depend on each other
• Data Flow: How data flows through the technology stack" : ""}

${INCLUDE_DIAGRAMS ? "9" : "8"}. Technology Decision Context

• Document apparent reasons for technology choices
• Note any legacy or deprecated technologies marked for replacement
• Identify technology constraints and boundaries
• Document technology upgrade paths and compatibility considerations

Format the output as ${OUTPUT_FORMAT} and categorize technologies by ${CATEGORIZATION}.

Save the output as 'Technology_Stack_Blueprint.${OUTPUT_FORMAT == "Markdown" ? "md" : OUTPUT_FORMAT.toLowerCase()}' "

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Source: clouds-anr/opencode — distributed by TomeVault.