@every-env/cli
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Multi-agent orchestrator for AI-powered development workflows
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# Comprehensive Code Review
## Introduction
Perform a thorough code review of the Every-Env CLI repository, analyzing architecture, TypeScript patterns, code quality, and the recent Ink-based interactive CLI implementation. This command produces a detailed technical assessment with actionable recommendations for improvement.
## Prerequisites
- Access to the full codebase including source files, tests, and configuration
- Understanding of TypeScript, React/Ink, and CLI development best practices
- Familiarity with multi-agent orchestration patterns
- Knowledge of modern Node.js development practices
## Main Tasks
### 1. Architecture Analysis
<thinking>
Evaluate the overall system architecture for clarity, maintainability, and scalability
</thinking>
**Core Architecture Review:**
- [ ] Analyze the modular structure in `src/` directory
- [ ] Review separation of concerns between core, agents, patterns, and commands
- [ ] Evaluate dependency injection patterns and coupling between modules
- [ ] Assess the plugin/extension architecture for patterns and agents
**Design Patterns Assessment:**
- [ ] Review use of abstract base classes (BaseAgent, BasePatternCommand)
- [ ] Analyze the Registry pattern implementation (PatternRegistry, CommandRegistry)
- [ ] Evaluate the Strategy pattern in agent implementations
- [ ] Check for proper use of Factory patterns where applicable
**Architectural Decisions:**
- [ ] Review the decision to use ES modules vs CommonJS
- [ ] Analyze the liquid template engine integration
- [ ] Evaluate the parallel execution strategy with p-limit
- [ ] Assess the configuration system design with Zod validation
### 2. TypeScript Code Quality
<thinking>
Deep dive into TypeScript usage, type safety, and best practices
</thinking>
**Type System Analysis:**
- [ ] Review type definitions in `src/types/` for completeness and accuracy
- [ ] Check for proper use of generics and type constraints
- [ ] Identify any usage of `any` type and suggest alternatives
- [ ] Evaluate interface vs type alias usage consistency
**Type Safety Audit:**
- [ ] Check for proper null/undefined handling
- [ ] Review error handling patterns and custom error types
- [ ] Analyze type narrowing and type guards usage
- [ ] Evaluate the use of discriminated unions where applicable
**TypeScript Best Practices:**
- [ ] Review tsconfig.json settings for strictness and compilation options
- [ ] Check for proper use of readonly modifiers
- [ ] Analyze const assertions and literal types usage
- [ ] Evaluate module resolution and path mapping
### 3. Ink Interactive CLI Review
<thinking>
Analyze the new React/Ink implementation for the interactive interface
</thinking>
**Component Architecture:**
- [ ] Review component structure in `src/interactive/components/`
- [ ] Analyze state management with useReducer pattern
- [ ] Evaluate component composition and prop drilling
- [ ] Check for proper separation of UI and business logic
**React/Ink Patterns:**
- [ ] Review custom hooks implementation (useKeyboardNavigation)
- [ ] Analyze effect usage and cleanup patterns
- [ ] Evaluate component performance and re-render optimization
- [ ] Check for proper TypeScript integration with React components
**User Experience:**
- [ ] Review keyboard navigation implementation
- [ ] Analyze visual feedback and loading states
- [ ] Evaluate error handling and user messaging
- [ ] Check accessibility considerations in CLI context
### 4. Pattern System Architecture
<thinking>
Evaluate the pattern-based command execution system
</thinking>
**Pattern Resolution:**
- [ ] Review the pattern loading and resolution flow
- [ ] Analyze namespace and override mechanisms
- [ ] Evaluate the file and content matching algorithms
- [ ] Check for performance implications of pattern matching
**Extensibility:**
- [ ] Review how new patterns can be added
- [ ] Analyze the pattern registry system
- [ ] Evaluate the command-pattern association
- [ ] Check for proper abstraction levels
### 5. Agent System Review
<thinking>
Analyze the multi-agent orchestration implementation
</thinking>
**Agent Architecture:**
- [ ] Review BaseAgent abstraction and implementations
- [ ] Analyze ClaudeAgent and GenericAgent implementations
- [ ] Evaluate agent task distribution and parallel execution
- [ ] Check for proper resource management and cleanup
**Concurrency Patterns:**
- [ ] Review p-limit usage for concurrency control
- [ ] Analyze potential race conditions
- [ ] Evaluate error propagation in parallel execution
- [ ] Check for proper promise handling patterns
### 6. Testing Strategy
<thinking>
Evaluate test coverage, quality, and testing patterns
</thinking>
**Test Structure:**
- [ ] Review unit test organization and coverage
- [ ] Analyze integration test patterns
- [ ] Evaluate test fixture management
- [ ] Check for proper mocking strategies
**Test Quality:**
- [ ] Review test naming conventions
- [ ] Analyze assertion patterns and test specificity
- [ ] Evaluate edge case coverage
- [ ] Check for flaky test patterns
### 7. Code Organization & Style
<thinking>
Review code organization, naming conventions, and consistency
</thinking>
**File Organization:**
- [ ] Review module boundaries and file structure
- [ ] Analyze import/export patterns
- [ ] Evaluate code colocation principles
- [ ] Check for circular dependencies
**Coding Standards:**
- [ ] Review naming conventions consistency
- [ ] Analyze code formatting and linting rules
- [ ] Evaluate comment quality and documentation
- [ ] Check for dead code and unused exports
### 8. Performance Considerations
<thinking>
Identify potential performance bottlenecks and optimization opportunities
</thinking>
**Runtime Performance:**
- [ ] Analyze file I/O patterns and potential optimizations
- [ ] Review memory usage in pattern matching
- [ ] Evaluate template rendering performance
- [ ] Check for unnecessary computations
**Build Performance:**
- [ ] Review TypeScript compilation settings
- [ ] Analyze bundle size and tree shaking
- [ ] Evaluate development workflow performance
- [ ] Check for optimization opportunities
### 9. Security Audit
<thinking>
Review security practices and potential vulnerabilities
</thinking>
**Security Patterns:**
- [ ] Review input validation and sanitization
- [ ] Analyze file system access patterns
- [ ] Evaluate template injection risks
- [ ] Check for proper secrets handling
**Dependencies:**
- [ ] Review dependency versions for known vulnerabilities
- [ ] Analyze dependency tree for security risks
- [ ] Evaluate npm scripts for security implications
- [ ] Check for proper dependency pinning
### 10. Documentation & Developer Experience
<thinking>
Evaluate documentation quality and developer onboarding experience
</thinking>
**Documentation Review:**
- [ ] Review CLAUDE.md for completeness and accuracy
- [ ] Analyze inline code documentation
- [ ] Evaluate API documentation coverage
- [ ] Check for example usage patterns
**Developer Experience:**
- [ ] Review development setup process
- [ ] Analyze debugging capabilities
- [ ] Evaluate error messages quality
- [ ] Check for developer tooling integration
## Parallel Processes
The following analyses can be performed simultaneously:
1. **Static Analysis Suite:**
- Run ESLint with current configuration
- Execute TypeScript strict mode compilation
- Perform dependency vulnerability scan
- Check for circular dependencies
2. **Codebase Metrics:**
- Calculate cyclomatic complexity
- Measure test coverage percentages
- Analyze code duplication
- Review bundle size metrics
3. **Pattern Analysis:**
- Identify common code patterns
- Find potential refactoring opportunities
- Detect inconsistent patterns
- Analyze abstraction levels
## Deliverables
### 1. Executive Summary
- Overall code health assessment
- Key strengths and achievements
- Critical issues requiring immediate attention
- Strategic recommendations
### 2. Detailed Findings
**Architecture Report:**
- Architectural diagram with module dependencies
- Design pattern usage assessment
- Scalability and maintainability analysis
- Recommended architectural improvements
**Code Quality Report:**
- TypeScript usage analysis with specific examples
- Code smell identification with locations
- Performance bottleneck analysis
- Security vulnerability assessment
**Ink CLI Assessment:**
- Component architecture review
- User experience evaluation
- Performance analysis
- Recommendations for enhancement
### 3. Action Items
**Immediate Fixes (P0):**
- Critical bugs or security issues
- Breaking changes needed
- Performance blockers
**Short-term Improvements (P1):**
- Code quality enhancements
- Test coverage gaps
- Documentation updates
- Minor refactoring
**Long-term Enhancements (P2):**
- Architectural improvements
- Feature additions
- Major refactoring
- Technology upgrades
### 4. Code Examples
Provide specific code examples for:
- Problematic patterns found
- Recommended solutions
- Best practice implementations
- Refactoring suggestions
## Thinking Approaches
**Critical Analysis:**
- Question architectural decisions and their trade-offs
- Identify hidden complexity and technical debt
- Evaluate future maintainability concerns
- Consider alternative approaches
**Constructive Feedback:**
- Highlight what's working well
- Provide actionable recommendations
- Include code examples for improvements
- Prioritize feedback by impact
**Holistic Perspective:**
- Consider the full development lifecycle
- Evaluate developer experience
- Assess operational concerns
- Think about team scalability
## Notes
**Review Focus Areas:**
- Pay special attention to the new Ink-based interactive CLI
- Evaluate the pattern system's extensibility
- Assess the multi-agent orchestration performance
- Review TypeScript usage for type safety
**Code Review Best Practices:**
- Be specific with file locations and line numbers
- Provide examples of both problems and solutions
- Consider the context and constraints
- Balance perfectionism with pragmatism
**Modern Considerations:**
- Evaluate AI-friendliness of the codebase
- Consider how well the code works with AI assistants
- Review prompt engineering patterns
- Assess documentation for AI consumption
## Expected Outcome
A comprehensive code review report that:
- Provides actionable insights for improvement
- Celebrates well-implemented patterns
- Identifies risks and mitigation strategies
- Guides future development decisions
- Improves overall code quality and maintainability
The review should balance technical depth with practical recommendations, ensuring the team can act on the findings effectively.