A comprehensive collection of high-quality prompts, architectural standards, coding guidelines, and structured frameworks for AI-assisted software development and system design.
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This repository consolidates resources for professional software development including:
- Architecture Pattern Standards - Comprehensive guides for different architectural approaches
- Prompt Templates - Structured templates for autonomous AI execution
- Coding Standards - Language-specific best practices and guidelines
- Rules and Guidelines - Rigorous technical and scientific principles
- Personas - Specialized AI agent personas for different domains
The repository includes comprehensive architectural standards following consistent structure and formatting, organized in the STANDARDS_REPOSITORY/architecture_standards/ directory:
-
- Modular monolith with microservices decoupling
- Layered clean architecture (presentation, application, domain, infrastructure)
- Dependency inversion and interface-based design
-
Hexagonal Architecture Standards
- Ports and adapters pattern
- Domain-centric design with external concerns isolation
- Technology-agnostic core business logic
-
Microservices Architecture Standards
- Distributed system design with autonomous services
- Event-driven communication and API-first approach
- Independent deployment and scaling strategies
-
Event-Driven Architecture Standards
- Event sourcing and CQRS patterns
- Reactive programming and asynchronous communication
- Stream processing and eventual consistency
-
Serverless Architecture Standards
- Function-as-a-Service (FaaS) and cloud-native design
- Auto-scaling and cost-optimized architectures
- Event-driven serverless computing patterns
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- Classic Model-View-Controller separation
- Simple web application structure
- Clear scope boundaries between data, presentation, and control
-
Three-Tier Architecture Standards
- Presentation, Business Logic, and Data tiers
- Enterprise application structure
- Physical tier separation for scalability
-
Layered Monolith Architecture Standards
- Simple layered structure with unidirectional dependencies
- Straightforward monolithic applications
- Clear layer boundaries for maintainability
Each architecture document includes:
- Overview - Core concepts and design principles
- Implementation Guidelines - Practical implementation strategies
- Example Project Structure - Detailed directory layouts
- AI Agent Guidelines - Rules for AI-assisted development
- Testing Strategies - Comprehensive testing approaches
- Performance Optimization - Speed and resource optimization
- Security Considerations - Security best practices
Perfect_Prompts/
├── STANDARDS_REPOSITORY/ # Architecture and development standards
│ ├── architecture_standards/ # Comprehensive architecture patterns
│ │ ├── CLEAN_ARCHITECTURE_STANDARDS.md
│ │ ├── HEXAGONAL_ARCHITECTURE_STANDARDS.md
│ │ ├── MICROSERVICES_ARCHITECTURE_STANDARDS.md
│ │ ├── EVENT_DRIVEN_ARCHITECTURE_STANDARDS.md
│ │ ├── SERVERLESS_ARCHITECTURE_STANDARDS.md
│ │ ├── MVC_ARCHITECTURE_STANDARDS.md
│ │ ├── THREE_TIER_ARCHITECTURE_STANDARDS.md
│ │ └── LAYERED_MONOLITH_ARCHITECTURE_STANDARDS.md
│ ├── apex/ # Apex Software Compliance Standards
│ ├── nasa/ # NASA-derived standards
│ └── prompt-templates/ # Structured prompt templates
├── rules/ # Technical and scientific principles
│ ├── Rules-for-Formal-Logic-Set-Theory-and-Discrete-Mathematics.md
│ ├── Rules-for-General-Systems-Thinking.md
│ ├── Rules-for-Objective-Decision-Making-and-Truth-Seeking.md
│ ├── Rules-for-Probabilistic-Modeling-Information-Theory-and-Machine-Learning.md
│ ├── Rules-for-Rational-Inference-and-Bayesian-System-Design.md
│ ├── Rules-for-Rigorous-Mathematical-Inquiry-and-Presentation.md
│ ├── Rules-for-Rigorous-Technical-and-Logical-Discourse.md
│ └── Rules-for-Technical-&-Scientific-Principles.md
├── PERSONAS/ # Specialized AI agent personas
│ └── structured_file_formatting/ # Domain-specific personas
├── general_guidelines/ # General development guidelines
├── go/ # Go-specific prompts and utilities
├── python/ # Python-specific prompts and utilities
├── rust/ # Rust-specific prompts and utilities
├── typescript/ # TypeScript-specific prompts and utilities
└── plaintext/ # Plain text prompt templates
- Comprehensive coverage of major architectural patterns
- Consistent structure and formatting across all documents
- Practical implementation guidelines with real-world examples
- AI agent development rules and best practices
- Structured templates for autonomous AI execution
- Hierarchical task organization (Phase → Task → Step)
- Built-in quality assurance and verification mechanisms
- Error handling and retry logic frameworks
- Dedicated directories for Go, Python, Rust, and TypeScript
- Language-specific best practices and patterns
- Code generation and analysis utilities
- Rigorous mathematical and scientific principles
- Formal logic and systems thinking approaches
- Decision-making and truth-seeking methodologies
- Probabilistic modeling and machine learning guidelines
- Domain-specific AI agent personas
- Expert-level knowledge in specialized fields
- Structured formatting for consistent outputs
- Choose an Architecture Pattern: Review the architecture standards to select the most appropriate pattern for your project
- Apply Development Standards: Use the comprehensive guidelines for code quality, testing, and documentation
- Leverage Prompt Templates: Utilize structured prompts for AI-assisted development tasks
- Follow Language Guidelines: Apply language-specific best practices from the dedicated directories
- Use Specialized Personas: Engage domain-specific AI agents for expert-level assistance
All architecture documents follow a consistent structure:
- Overview with core principles and conceptual approach
- Example Project Structure with detailed directory layouts
- Implementation Guidelines with practical strategies
- AI Agent Development Guidelines with critical rules and checklists
- Comprehensive Testing Strategies covering all testing types
- Performance and Security Considerations with optimization techniques
- Integration and Communication Patterns for system interoperability
This repository maintains high standards for documentation quality and consistency. When contributing:
- Follow the established document structure and formatting
- Ensure comprehensive coverage of architectural concepts
- Include practical examples and implementation guidance
- Maintain consistency with existing AI agent guidelines
- Test all code examples and verify technical accuracy
This repository is available under the MIT License. See the LICENSE file for full details.
This repository represents a curated collection of professional software development resources, architectural patterns, and AI-assisted development frameworks designed to accelerate high-quality software delivery.