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@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.