This document outlines major refactoring tasks identified during the Browser Explorer Agent development. These refactorings aim to improve code quality, maintainability, and prepare the codebase for future AI enhancements.
Current State: Custom workflow implementation with tight coupling Target State: Mastra-native workflow system with loose coupling
Scope:
src/workflows/ExplorationWorkflow.tssrc/workflows/base/WorkflowBase.ts- All workflow step implementations
Refactoring Steps:
- Create Mastra workflow adapter interface
- Migrate workflow steps to Mastra step definitions
- Implement workflow context using Mastra's state management
- Update all workflow invocations
- Remove legacy workflow code
Risks:
- Breaking changes to existing workflow APIs
- State migration complexity
- Performance regression
Estimated Effort: 2 weeks
Current State: Hybrid approach with CSS selectors and AI detection Target State: 100% AI-powered element detection via Stagehand
Scope:
src/detection/AIElementDetector.tssrc/detection/selectors/*.ts- All test files using selectors
Refactoring Steps:
- Audit all selector usage across codebase
- Create Stagehand replacements for each selector
- Implement fallback strategies for edge cases
- Update all tests to use natural language
- Delete selector-based code
Risks:
- Performance degradation
- Increased API costs
- Test stability during transition
Estimated Effort: 1.5 weeks
Current State: Duplicated logic across agent implementations Target State: Single, robust base class for all Mastra agents
Scope:
src/agents/base/BaseAgent.ts- All agent implementations
- Agent factory patterns
Refactoring Steps:
- Extract common agent functionality
- Create comprehensive base class
- Implement agent lifecycle hooks
- Standardize tool registration
- Update all agents to extend base
Risks:
- Over-abstraction
- Loss of agent-specific optimizations
Estimated Effort: 1 week
Current State: Hard-coded test templates with string concatenation Target State: Flexible, AI-friendly template system
Scope:
src/generation/templates/*.tssrc/generation/TestGenerator.ts
Refactoring Steps:
- Design new template DSL
- Create template parser/compiler
- Migrate existing templates
- Add AI template generation support
- Implement template validation
Benefits:
- Easier test customization
- AI can generate new templates
- Better maintainability
Estimated Effort: 1 week
Current State: Scattered configuration across multiple files Target State: Centralized, type-safe configuration system
Scope:
src/config/*.ts- Environment variables
- Runtime configuration
Refactoring Steps:
- Create unified configuration schema
- Implement configuration validator
- Add configuration migration system
- Update all config consumers
- Add configuration documentation
Benefits:
- Type safety
- Easier deployment
- Better developer experience
Estimated Effort: 3 days
Current State: Inconsistent error handling patterns Target State: Unified error handling with AI-friendly messages
Scope:
- All try-catch blocks
- Error classes
- Logging infrastructure
Refactoring Steps:
- Define error hierarchy
- Create error factory functions
- Implement global error handler
- Add AI-readable error context
- Update all error handling code
Benefits:
- Better debugging
- AI can understand and fix errors
- Consistent user experience
Estimated Effort: 4 days
Current State: Partial strict mode with many any types
Target State: Full strict mode compliance
Scope:
tsconfig.json- All TypeScript files
Refactoring Steps:
- Enable strict mode incrementally
- Fix type errors module by module
- Remove all
anytypes - Add missing type definitions
- Update coding standards
Estimated Effort: 1 week (ongoing)
Current State: Basic Jest setup with minimal helpers Target State: Comprehensive test utilities with AI support
Scope:
- Test setup files
- Test utilities
- Mock systems
Refactoring Steps:
- Create AI-aware test helpers
- Implement smart mocking system
- Add visual regression utilities
- Create test data factories
- Update all existing tests
Estimated Effort: 5 days
Current State: No systematic performance optimization Target State: Intelligent caching and request batching
Scope:
- AI API calls
- Browser operations
- Data processing
Refactoring Steps:
- Implement request batching
- Add intelligent caching
- Create performance monitoring
- Optimize hot paths
- Add performance tests
Estimated Effort: 1 week
- Start with Workflow System Migration
- Begin Configuration Management Overhaul
- Set up performance monitoring
- Complete Selector Removal
- Agent Base Class Consolidation
- Error Handling Standardization
- Test Generation Template System
- Test Infrastructure Modernization
- TypeScript Strict Mode Migration
- Performance Optimization Layer
- Final cleanup and documentation
- Type Coverage: >95% (from current 75%)
- Test Coverage: >90% (from current 80%)
- Cyclomatic Complexity: <10 per function
- Duplication: <3%
- AI API Calls: 50% reduction via caching
- Test Execution Time: 30% improvement
- Memory Usage: 20% reduction
- Build Time: <30 seconds
- Test Run Time: <2 minutes
- Configuration Changes: No code changes needed
- Workflow Migration: May break existing integrations
- Selector Removal: Could impact test stability
- Performance Changes: May introduce new bottlenecks
- Feature Flags: Enable gradual rollout
- Parallel Running: Keep old code during transition
- Comprehensive Testing: Add integration tests
- Rollback Plan: Document rollback procedures
- All new code must use Mastra patterns
- No new CSS selectors allowed
- Strict typing required
- AI-first design principles
- Uses established patterns
- Includes proper types
- Has adequate tests
- Follows AI integration standards
- Performance impact assessed
Last Updated: 2025-07-25