Software Architecture Patterns
Software design patterns, code organization, module boundaries, and architectural best practices
Deliverables
Codebase Architecture Review
Analysis of code organization, module structure, and design patterns
- -Layered architecture: Presentation, business logic, data access separation
- -Domain modeling: Entity design, aggregates, bounded contexts
- -Dependency management: Inversion of control, interfaces, coupling analysis
- -Code organization: Folder structure, naming conventions, module boundaries
Design Pattern Assessment
Evaluation of pattern usage and recommendations for improvement
- -Creational patterns: Factories, builders, dependency injection
- -Structural patterns: Adapters, facades, decorators
- -Behavioral patterns: Strategies, observers, state machines
- -Anti-patterns: God objects, spaghetti code, over-engineering
API Design Review
Assessment of internal and external API design quality
- -REST API: Resource naming, HTTP methods, status codes, versioning
- -GraphQL: Schema design, resolver patterns, N+1 prevention
- -Internal APIs: Service boundaries, contracts, backward compatibility
- -Documentation: OpenAPI specs, examples, error documentation
Modernization Recommendations
Roadmap for evolving the codebase architecture
- -Modularization: Breaking monoliths, defining boundaries
- -Pattern adoption: Introducing beneficial patterns incrementally
- -Technical debt: Architecture-level refactoring priorities
- -Evolution strategy: Strangler fig, branch by abstraction
Key Questions
(10 questions)Is the codebase organized with clear module boundaries and separation of concerns?
Are design patterns used appropriately (not over-engineered or missing where needed)?
Is business logic separated from infrastructure concerns?
Are APIs well-designed with consistent conventions and good documentation?
Is the codebase easy to navigate and understand for new team members?
Are dependencies managed with clear interfaces and minimal coupling?
Is there a strategy for evolving the architecture over time?
Are architectural decisions documented with rationale?
Is the codebase testable with appropriate abstractions?
Are there clear patterns for common operations (error handling, logging, validation)?
Artifacts To Review
Sample Outputs
Architecture Analysis Report
Detailed review of codebase architecture with strengths, weaknesses, and improvement recommendations
Design Pattern Catalog
Recommended patterns for common scenarios in your codebase with implementation examples
API Design Guidelines
Standards for API design including naming, versioning, and documentation
Architecture Evolution Roadmap
Phased plan for improving codebase architecture with specific refactoring targets
Maturity Levels
Unstructured codebase, no clear patterns, tight coupling, difficult to change
Basic organization, some patterns, informal conventions, moderate coupling
Clear module boundaries, consistent patterns, documented conventions, good API design
Domain-driven design, clean architecture, excellent API design, easy to evolve, well-documented decisions
Get Software Architecture Patterns Insights
Schedule a discovery call to discuss how this assessment can help your organization. Fractional CAIO clients receive this module included in their retainer.