Implementation Plan

• 1. Set up foundation with Snakepit integration

  • Configure Snakepit with three specialized pools (general, optimizer, neural)
  • Create DSPex application structure with proper supervision tree
  • Implement basic configuration management for pools and adapters
  • Set up development environment with Python DSPy installation
  • Requirements: 1.1, 9.1, 9.3

• 2. Implement native signature engine with compile-time parsing

  • Create signature parser that works at compile-time using macros
  • Implement type system with Elixir-Python type mappings
  • Build signature validator with clear error messages
  • Write comprehensive tests for various signature formats
  • Requirements: 2.1, 2.2, 2.3, 2.4

• 3. Build basic Python bridge for DSPy modules

  • Create Python handler script using snakepit_bridge package
  • Implement core DSPy module wrappers (Predict, ChainOfThought, ReAct)
  • Set up request/response protocol with proper error handling
  • Test round-trip communication with various data types
  • Requirements: 1.1, 1.3, 10.2

• 4. Create intelligent orchestration engine

  • Implement task analysis and complexity estimation
  • Build strategy selection based on task characteristics
  • Create execution monitoring with real-time adaptation
  • Implement fallback chain for failed strategies
  • Requirements: 1.1, 1.4, 12.1, 12.2, 12.3, 12.4

• 5. Implement variable coordination system

  • Create variable registry with ETS backing
  • Implement dependency tracking between variables
  • Build observer pattern for variable updates
  • Add optimization coordination logic
  • Requirements: 3.1, 3.2, 3.3, 3.4

• 6. Build adaptive LLM architecture

  • Define LLM adapter behavior
  • Implement InstructorLite adapter for structured output
  • Create HTTP adapter for simple completions
  • Build Python bridge adapter for complex operations
  • Implement intelligent adapter selection logic
  • Requirements: 4.1, 4.2, 4.3, 4.4

• 7. Create pipeline orchestration engine

  • Design pipeline DSL for intuitive definitions
  • Implement dependency analysis and execution graph creation
  • Build parallel execution engine with actor model
  • Add streaming support with backpressure handling
  • Requirements: 5.1, 5.2, 5.3, 5.4

• 8. Implement intelligent session management

  • Create session store with state persistence
  • Implement worker affinity for session optimization
  • Build session lifecycle management with TTL
  • Add performance tracking per session
  • Requirements: 8.1, 8.2, 8.3, 8.4

• 9. Build cognitive telemetry layer

  • Set up comprehensive telemetry event system
  • Implement pattern detection algorithms
  • Create anomaly detection for performance changes
  • Build adaptation trigger system
  • Requirements: 6.1, 6.2, 6.3, 6.4, 7.1, 7.2, 7.3, 7.4

• 10. Implement production reliability features

  • Add circuit breakers for failing adapters
  • Implement retry logic with exponential backoff
  • Create request queuing with overflow handling
  • Build graceful degradation for system overload
  • Requirements: 9.1, 9.2, 9.3, 9.4

• 11. Create native high-performance modules

  • Implement native template engine using EEx
  • Build native validators for common patterns
  • Create native metrics calculations
  • Optimize hot paths identified through profiling
  • Requirements: 11.1, 11.2, 11.3, 11.4

• 12. Build seamless native-Python integration

  • Implement automatic type conversion layer
  • Create efficient serialization for data transfer
  • Build profiling system for mixed pipelines
  • Test various native-Python combination scenarios
  • Requirements: 10.1, 10.2, 10.3, 10.4

• 13. Implement learning and adaptation system

  • Create strategy cache for successful executions
  • Build performance history tracking
  • Implement pattern learning from execution data
  • Add automatic strategy improvement logic
  • Requirements: 6.1, 6.2, 6.3, 12.2, 12.4

• 14. Create comprehensive test suite

  • Write unit tests for all core components
  • Implement integration tests with real DSPy
  • Create performance benchmarks
  • Add chaos engineering tests for reliability
  • Requirements: All requirements need test coverage

• 15. Build documentation and examples

  • Create API documentation with examples
  • Write architecture guide for contributors
  • Build tutorial series for common use cases
  • Create performance tuning guide
  • Requirements: Support for all user stories

• 16. Implement router intelligence enhancements

  • Add performance-based routing decisions
  • Implement load-aware distribution
  • Create capability matching system
  • Build routing strategy learning
  • Requirements: 1.1, 1.4, 6.3

• 17. Add advanced pipeline features

  • Implement conditional execution branches
  • Add error recovery strategies per stage
  • Create pipeline composition and reuse
  • Build pipeline performance analytics
  • Requirements: 5.1, 5.2

• 18. Enhance monitoring and observability

  • Create detailed execution traces
  • Implement performance dashboards
  • Add alerting for anomalies
  • Build debugging tools for production
  • Requirements: 7.1, 7.2, 7.3, 7.4

• 19. Optimize for production deployment

  • Profile and optimize memory usage
  • Implement connection pooling
  • Add caching for frequent operations
  • Create deployment configuration templates
  • Requirements: 11.1, 11.2

• 20. Final integration and validation

  • Perform end-to-end system testing
  • Validate all requirements are met
  • Run stress tests and performance benchmarks
  • Create release documentation
  • Requirements: All requirements validation