Code Quality & Testing
Code review practices, test coverage and strategy, refactoring priorities, and engineering quality standards
Deliverables
Code Quality Audit
Automated and manual code review identifying quality issues, code smells, and improvement opportunities
- -Code complexity analysis: Cyclomatic complexity, deep nesting, long functions
- -Code duplication: Repeated logic that should be abstracted
- -Design patterns: Missing abstractions, tight coupling, violation of SOLID principles
- -Code style: Inconsistent formatting, naming conventions, commenting practices
Test Strategy Assessment
Comprehensive evaluation of testing approach with recommendations for balanced test pyramid
- -Unit test coverage: Current state, gaps in critical business logic
- -Integration test strategy: API tests, database tests, external service mocks
- -End-to-end tests: Coverage of critical user journeys, flakiness issues
- -Test pyramid balance: Ratio of unit/integration/e2e tests
CI/CD Quality Gates
Automated quality checks integrated into deployment pipeline
- -Linting: ESLint, Prettier, Ruff configuration and enforcement
- -Static analysis: Type checking (TypeScript, mypy), security scanning
- -Test automation: Required coverage thresholds, test execution in CI
- -Code review checklist: Automated and manual review requirements
Refactoring Roadmap
Prioritized list of code improvements with impact analysis and implementation plan
- -High-complexity modules: Functions/classes that need simplification
- -Test debt: Code that needs test coverage before changes
- -Modernization: Deprecated patterns, outdated dependencies
- -Documentation: Missing or outdated technical documentation
Key Questions
(12 questions)Is there a consistent code review process with clear standards and checklists?
What is the current test coverage percentage for unit, integration, and e2e tests?
Are tests run automatically on every PR with blocking quality gates?
Is the test suite fast and reliable (no flaky tests)?
Are code quality tools (linters, formatters, static analysis) configured and enforced?
Is technical debt tracked and allocated time in sprints?
Are coding standards documented and consistently followed?
Is there a process for refactoring high-complexity code?
Are critical business logic paths well-tested?
Is test-driven development (TDD) practiced for new features?
Are code review comments constructive and educational?
Is there a balance between shipping fast and maintaining quality?
Artifacts To Review
Sample Outputs
Code Quality Report
Detailed analysis of codebase quality with specific files/modules identified for improvement
Test Strategy Document
Comprehensive testing plan covering unit, integration, and e2e testing with tool recommendations
CI/CD Quality Pipeline
Configured quality gates with linting, testing, and coverage enforcement
Refactoring Backlog
Prioritized list of code improvements with effort estimates and business impact
Maturity Levels
No formal code review, minimal testing, no quality automation, inconsistent standards
Basic code reviews, some unit tests, CI runs tests, informal standards
Structured code review process, balanced test pyramid, quality gates in CI, documented standards, regular refactoring
TDD culture, comprehensive coverage, fast test suite, continuous refactoring, quality metrics tracking, peer learning through reviews
Get Code Quality & Testing Insights
Schedule a discovery call to discuss how this assessment can help your organization. Fractional CAIO clients receive this module included in their retainer.