defmodule Synthesis.Architecture do
  @moduledoc """
  Enhanced progressive distribution combining practical engineering 
  with theoretical excellence.
  
  Evolution Path:
  1. Nexus Foundation: Proven patterns, production readiness
  2. Phoenix Integration: CRDT theory, distribution patterns  
  3. Advanced Synthesis: Theoretical rigor with practical safety
  4. Excellence Achievement: Best-in-class distributed system
  """
  
  def evolve_system(current_level, target_sophistication) do
    case {current_level, target_sophistication} do
      {:reactive, :crdt_enhanced} ->
        integrate_phoenix_crdt_layer(current_level)
      
      {:performance, :distributed_native} ->
        apply_phoenix_distribution_patterns(current_level)
      
      {:adaptive, :theoretical_excellence} ->
        synthesize_advanced_coordination(current_level)
      
      {level, level} ->
        {:ok, :already_achieved}
    end
  end
end

defmodule Synthesis.SafeAdvancement do
  @moduledoc """
  Advance theoretical sophistication while maintaining production safety.
  
  Safety Mechanisms:
  - Fallback to proven patterns on any failure
  - Gradual rollout of theoretical enhancements
  - Comprehensive testing at each advancement level
  - Monitoring and alerting for theoretical features
  """
  
  def advance_with_safety(enhancement, safety_config) do
    # Test enhancement in isolation
    with {:ok, _} <- test_enhancement_isolation(enhancement),
         {:ok, _} <- validate_fallback_mechanism(enhancement),
         {:ok, _} <- setup_monitoring(enhancement),
         {:ok, result} <- deploy_with_canary(enhancement, safety_config) do
      
      # Monitor for stability before full deployment
      monitor_enhancement_stability(enhancement, result)
    else
      error ->
        Logger.warn("Enhancement advancement failed, maintaining current level")
        fallback_to_current_level(enhancement)
        error
    end
  end
end

defmodule Synthesis.TeamDevelopment do
  @moduledoc """
  Synchronize system complexity growth with team capability development.
  
  Team Capability Levels:
  1. BEAM/OTP Proficiency: Can operate Nexus foundation
  2. Distributed Systems Basics: Can enhance with Phoenix patterns
  3. CRDT Theory Understanding: Can leverage conflict-free patterns
  4. Advanced Coordination: Can implement sophisticated patterns
  """
  
  def assess_readiness_for_enhancement(team, enhancement) do
    required_skills = get_required_skills(enhancement)
    team_skills = assess_team_capabilities(team)
    
    case skills_gap_analysis(required_skills, team_skills) do
      :ready -> {:ok, :proceed_with_enhancement}
      {:gap, missing_skills} -> {:wait, {:training_needed, missing_skills}}
      :significant_gap -> {:wait, {:hire_expertise, required_skills}}
    end
  end
end

defmodule Synthesis.Foundation do
  @moduledoc """
  Start with Nexus foundation: proven, simple, production-ready.
  
  Features:
  - Simple agent registry and communication
  - Basic coordination with vector clocks and gossip
  - Comprehensive monitoring and alerting
  - Production deployment patterns
  """
  
  def initialize_foundation(opts) do
    # Nexus-style simple foundation
    foundation = %{
      registry: Synthesis.Registry.Simple.start_link(opts),
      coordination: Synthesis.Coordination.Proven.start_link(opts),
      monitoring: Synthesis.Monitoring.Comprehensive.start_link(opts),
      security: Synthesis.Security.Enterprise.start_link(opts)
    }
    
    # Prepare for Phoenix integration hooks
    add_phoenix_integration_hooks(foundation)
  end
  
  defp add_phoenix_integration_hooks(foundation) do
    # Add hooks for future Phoenix pattern integration
    %{foundation |
      crdt_integration_point: prepare_crdt_integration(),
      transport_upgrade_point: prepare_transport_upgrade(),
      coordination_enhancement_point: prepare_coordination_enhancement()
    }
  end
end

defmodule Synthesis.CRDTIntegration do
  @moduledoc """
  Integrate Phoenix CRDT innovations into Nexus foundation.
  
  Integration Strategy:
  - Add CRDT layer as optional enhancement to existing state management
  - Maintain fallback to simple state for critical operations
  - Provide CRDT benefits where mathematically advantageous
  """
  
  def enhance_with_crdt(foundation_system, crdt_config) do
    # Add Phoenix-style CRDT layer
    crdt_layer = %{
      g_counter: Phoenix.CRDT.GCounter.new(),
      pn_counter: Phoenix.CRDT.PNCounter.new(),
      or_set: Phoenix.CRDT.ORSet.new(),
      lww_map: Phoenix.CRDT.LWWMap.new(),
      vector_clock: Phoenix.VectorClock.new(node())
    }
    
    # Integrate with existing Nexus state management
    enhanced_state = %{
      simple_state: foundation_system.state,          # Nexus foundation
      crdt_state: crdt_layer,                        # Phoenix enhancement
      hybrid_operations: create_hybrid_operations()   # Best of both
    }
    
    %{foundation_system | 
      state_management: enhanced_state,
      coordination_level: :crdt_enhanced
    }
  end
  
  defp create_hybrid_operations() do
    %{
      # Use CRDT for conflict-free operations
      increment_counter: &Phoenix.CRDT.GCounter.increment/2,
      add_to_set: &Phoenix.CRDT.ORSet.add/2,
      update_map: &Phoenix.CRDT.LWWMap.put/3,
      
      # Use simple state for critical operations
      critical_update: &Synthesis.State.Simple.update/2,
      transactional_update: &Synthesis.State.Simple.transaction/2,
      
      # Hybrid operations that choose optimal approach
      smart_update: &choose_optimal_state_operation/2
    }
  end
  
  defp choose_optimal_state_operation(operation_type, data) do
    case analyze_operation_characteristics(operation_type, data) do
      :conflict_prone -> use_crdt_operation(operation_type, data)
      :consistency_critical -> use_simple_state_operation(operation_type, data)
      :performance_critical -> use_ets_operation(operation_type, data)
    end
  end
end

defmodule Synthesis.DistributionPatterns do
  @moduledoc """
  Integrate Phoenix distribution-first patterns with Nexus infrastructure.
  
  Distribution Enhancements:
  - Multi-protocol transport with fallback to simple Distributed Erlang
  - Advanced placement algorithms with fallback to round-robin
  - Sophisticated coordination with fallback to proven patterns
  """
  
  def enhance_with_distribution_patterns(system, distribution_config) do
    # Add Phoenix-style multi-protocol transport
    transport_layer = %{
      protocols: [
        {:distributed_erlang, 1.0},   # Always available fallback
        {:partisan, 0.8},             # If cluster > 100 nodes  
        {:http2, 0.6},                # If cross-DC communication
        {:quic, 0.4}                  # If mobile/edge nodes
      ],
      selection_strategy: :adaptive_with_fallback,
      fallback_protocol: :distributed_erlang
    }
    
    # Add Phoenix-style advanced placement
    placement_layer = %{
      strategies: [
        {:round_robin, 1.0},          # Always available fallback
        {:resource_aware, 0.8},       # If resource monitoring available
        {:ml_optimized, 0.6},         # If ML models trained
        {:predictive, 0.4}            # If prediction accuracy > 80%
      ],
      selection_strategy: :graduated_sophistication,
      fallback_strategy: :round_robin
    }
    
    # Integrate with existing system
    %{system |
      transport: transport_layer,
      placement: placement_layer,
      distribution_level: :phoenix_enhanced
    }
  end
end

defmodule Synthesis.TheoreticalExcellence do
  @moduledoc """
  Achieve theoretical excellence while maintaining practical operation.
  
  Advanced Features:
  - Sophisticated swarm coordination with simple coordination fallback
  - Emergent behavior patterns with deterministic testing
  - Advanced consensus algorithms with Raft fallback
  """
  
  def achieve_theoretical_excellence(system, excellence_config) do
    # Advanced coordination with safety nets
    coordination_layer = %{
      algorithms: [
        {:vector_clocks, 1.0},         # Always available
        {:raft_consensus, 0.9},        # If strong consistency needed
        {:swarm_coordination, 0.7},    # If team readiness confirmed
        {:emergent_patterns, 0.5}      # If controlled emergence enabled
      ],
      safety_mechanisms: [
        :fallback_on_failure,
        :performance_monitoring,
        :complexity_bounds,
        :deterministic_testing
      ],
      excellence_metrics: define_excellence_metrics()
    }
    
    %{system |
      coordination: coordination_layer,
      theoretical_level: :excellence_achieved
    }
  end
  
  defp define_excellence_metrics() do
    %{
      coordination_success_rate: 0.99,      # 99% success rate
      fallback_activation_rate: 0.01,       # <1% fallback usage
      theoretical_feature_uptime: 0.95,     # 95% advanced feature uptime
      team_comprehension_score: 0.8         # 80% team understanding
    }
  end
end

defmodule Synthesis.Stage1.Foundation do
  @moduledoc """
  Stage 1: Establish production-ready foundation using Nexus patterns.
  
  Capabilities:
  - Simple agent registry and lifecycle management
  - Basic distributed coordination (vector clocks, gossip)
  - Comprehensive monitoring and security
  - Zero-downtime deployment
  
  Success Criteria:
  - 99.9% uptime achieved
  - <50ms P95 response time
  - Team operational proficiency demonstrated
  """
  
  def establish_foundation() do
    foundation = %Synthesis.Foundation{
      agent_registry: simple_distributed_registry(),
      coordination: proven_coordination_patterns(),
      state_management: ets_based_simple_state(),
      transport: distributed_erlang_transport(),
      monitoring: comprehensive_monitoring(),
      security: enterprise_security(),
      deployment: zero_downtime_deployment()
    }
    
    # Validate foundation readiness
    case validate_foundation_readiness(foundation) do
      {:ok, :production_ready} -> {:ok, foundation}
      {:error, issues} -> {:error, {:foundation_not_ready, issues}}
    end
  end
  
  defp validate_foundation_readiness(foundation) do
    validations = [
      {:uptime_target, validate_uptime(foundation, 0.999)},
      {:performance_target, validate_p95_latency(foundation, 50)},
      {:security_compliance, validate_security_posture(foundation)},
      {:monitoring_coverage, validate_monitoring_completeness(foundation)},
      {:team_readiness, validate_team_operational_skills()}
    ]
    
    case Enum.all?(validations, fn {_, result} -> result == :ok end) do
      true -> {:ok, :production_ready}
      false -> {:error, extract_validation_failures(validations)}
    end
  end
end

defmodule Synthesis.Stage2.CRDTEnhancement do
  @moduledoc """
  Stage 2: Add Phoenix CRDT innovations for conflict-free operations.
  
  Enhancements:
  - CRDT-based state management for specific use cases
  - Conflict-free counter operations
  - Eventually consistent set operations
  - Hybrid state management (CRDT + simple)
  
  Success Criteria:
  - CRDT operations show measurable benefit over simple state
  - Fallback mechanisms work reliably
  - Team demonstrates CRDT theory understanding
  """
  
  def enhance_with_crdt(foundation, crdt_config) do
    # Analyze which operations benefit from CRDT
    crdt_candidates = analyze_crdt_opportunities(foundation)
    
    # Implement hybrid state management
    enhanced_state = %{
      foundation_state: foundation.state_management,
      crdt_operations: implement_crdt_operations(crdt_candidates),
      operation_router: create_smart_operation_router(),
      fallback_manager: create_crdt_fallback_manager()
    }
    
    # Gradually migrate suitable operations to CRDT
    migration_plan = create_crdt_migration_plan(crdt_candidates)
    
    execute_crdt_migration(enhanced_state, migration_plan)
  end
  
  defp analyze_crdt_opportunities(foundation) do
    # Analyze current operations for CRDT suitability
    operations = extract_state_operations(foundation)
    
    Enum.map(operations, fn operation ->
      characteristics = analyze_operation_characteristics(operation)
      
      %{
        operation: operation,
        conflict_probability: characteristics.conflict_rate,
        consistency_requirements: characteristics.consistency_level,
        performance_impact: characteristics.coordination_overhead,
        crdt_suitability: calculate_crdt_benefit_score(characteristics)
      }
    end)
    |> Enum.filter(fn analysis -> analysis.crdt_suitability > 0.7 end)
  end
  
  defp create_smart_operation_router() do
    # Route operations to optimal state management approach
    fn operation, context ->
      case {operation.type, context.consistency_requirements} do
        {:counter_increment, :eventual} -> route_to_crdt(:g_counter, operation)
        {:set_add, :eventual} -> route_to_crdt(:or_set, operation)
        {:map_update, :eventual} -> route_to_crdt(:lww_map, operation)
        {:critical_transaction, _} -> route_to_simple_state(operation)
        _ -> route_based_on_analysis(operation, context)
      end
    end
  end
end

defmodule Synthesis.Stage3.DistributionSophistication do
  @moduledoc """
  Stage 3: Integrate Phoenix distribution patterns and transport sophistication.
  
  Enhancements:
  - Multi-protocol transport layer
  - Advanced agent placement algorithms  
  - Sophisticated load balancing
  - Cross-datacenter coordination
  
  Success Criteria:
  - System scales linearly to 1000+ nodes
  - Transport selection adapts optimally to network conditions
  - Cross-DC latency optimized automatically
  """
  
  def enhance_with_distribution_sophistication(system, distribution_config) do
    # Add Phoenix-style transport sophistication
    transport_layer = create_multi_protocol_transport()
    placement_layer = create_advanced_placement_engine()
    coordination_layer = enhance_coordination_patterns()
    
    enhanced_system = %{system |
      transport: transport_layer,
      placement: placement_layer,
      coordination: coordination_layer,
      distribution_sophistication: :phoenix_level
    }
    
    # Validate enhancement effectiveness
    validate_distribution_enhancement(enhanced_system)
  end
  
  defp create_multi_protocol_transport() do
    %Synthesis.Transport.MultiProtocol{
      available_protocols: [
        %{protocol: :distributed_erlang, priority: 10, conditions: [:local_cluster]},
        %{protocol: :partisan, priority: 8, conditions: [:large_cluster]},
        %{protocol: :http2, priority: 6, conditions: [:cross_datacenter]},
        %{protocol: :quic, priority: 4, conditions: [:mobile_edge]}
      ],
      selection_strategy: :adaptive_conditions,
      fallback_chain: [:distributed_erlang],  # Always available
      performance_monitoring: true,
      automatic_optimization: true
    }
  end
  
  defp create_advanced_placement_engine() do
    %Synthesis.Placement.Advanced{
      strategies: [
        %{strategy: :round_robin, weight: 1.0, fallback: true},
        %{strategy: :resource_aware, weight: 0.8, conditions: [:resource_monitoring]},
        %{strategy: :latency_optimized, weight: 0.6, conditions: [:network_topology]},
        %{strategy: :ml_predicted, weight: 0.4, conditions: [:ml_models_trained]}
      ],
      placement_constraints: [
        :anti_affinity,
        :resource_requirements,
        :network_locality,
        :compliance_zones
      ],
      optimization_objectives: [
        :minimize_latency,
        :balance_load,
        :optimize_resource_usage,
        :respect_constraints
      ]
    }
  end
end

defmodule Synthesis.Stage4.IntelligenceIntegration do
  @moduledoc """
  Stage 4: Add intelligent coordination and adaptive behaviors.
  
  Enhancements:
  - ML-enhanced routing and placement decisions
  - Adaptive coordination strategies
  - Predictive scaling and optimization
  - Intelligent load balancing
  
  Success Criteria:
  - ML models demonstrate measurable improvement over heuristics
  - Adaptive behaviors improve system performance
  - Predictive capabilities reduce manual intervention
  """
  
  def integrate_intelligence(system, intelligence_config) do
    # Add intelligence layers with safety nets
    intelligence_layer = %{
      ml_models: initialize_ml_models(intelligence_config),
      adaptive_algorithms: create_adaptive_algorithms(),
      prediction_engines: setup_prediction_engines(),
      learning_mechanisms: establish_learning_loops(),
      safety_monitors: create_intelligence_safety_monitors()
    }
    
    # Integrate with existing system
    enhanced_system = %{system |
      intelligence: intelligence_layer,
      intelligence_level: :ml_enhanced
    }
    
    # Start gradual intelligence deployment
    deploy_intelligence_gradually(enhanced_system, intelligence_config)
  end
  
  defp initialize_ml_models(config) do
    %{
      routing_optimizer: Synthesis.ML.RoutingOptimizer.new(config.routing),
      placement_predictor: Synthesis.ML.PlacementPredictor.new(config.placement),
      load_balancer: Synthesis.ML.LoadBalancer.new(config.load_balancing),
      performance_predictor: Synthesis.ML.PerformancePredictor.new(config.performance)
    }
  end
  
  defp deploy_intelligence_gradually(system, config) do
    deployment_phases = [
      %{phase: :shadow_mode, traffic: 0.0, duration: :timer.days(7)},
      %{phase: :canary, traffic: 0.05, duration: :timer.days(7)},
      %{phase: :gradual_rollout, traffic: 0.25, duration: :timer.days(14)},
      %{phase: :full_deployment, traffic: 1.0, duration: :infinity}
    ]
    
    Enum.reduce(deployment_phases, system, fn phase, current_system ->
      deploy_intelligence_phase(current_system, phase, config)
    end)
  end
end

defmodule Synthesis.Stage5.TheoreticalExcellence do
  @moduledoc """
  Stage 5: Achieve theoretical excellence with Phoenix advanced patterns.
  
  Advanced Features:
  - Sophisticated swarm coordination
  - Emergent behavior patterns (controlled)
  - Advanced consensus algorithms
  - Theoretical optimization limits
  
  Success Criteria:
  - System achieves theoretical performance limits
  - Advanced patterns provide measurable benefits
  - Team demonstrates mastery of sophisticated concepts
  """
  
  def achieve_theoretical_excellence(system, excellence_config) do
    # Only proceed if team and system readiness confirmed
    with {:ok, :team_ready} <- validate_team_theoretical_readiness(),
         {:ok, :system_stable} <- validate_system_stability_for_advancement(),
         {:ok, advanced_patterns} <- implement_advanced_patterns(excellence_config) do
      
      excellence_system = %{system |
        advanced_coordination: advanced_patterns.coordination,
        emergent_behaviors: advanced_patterns.emergence,
        theoretical_optimizations: advanced_patterns.optimizations,
        excellence_level: :theoretical_maximum
      }
      
      # Monitor and validate theoretical enhancements
      monitor_theoretical_excellence(excellence_system)
    else
      {:error, :team_not_ready} -> 
        {:defer, :continue_team_development}
      
      {:error, :system_not_stable} -> 
        {:defer, :stabilize_current_level}
      
      error -> 
        {:error, error}
    end
  end
  
  defp implement_advanced_patterns(config) do
    advanced_patterns = %{
      coordination: %{
        swarm_intelligence: implement_swarm_coordination(config.swarm),
        emergent_behaviors: implement_controlled_emergence(config.emergence),
        advanced_consensus: implement_sophisticated_consensus(config.consensus)
      },
      emergence: %{
        behavior_patterns: define_emergent_behavior_patterns(),
        safety_bounds: establish_emergence_safety_bounds(),
        monitoring: setup_emergence_monitoring()
      },
      optimizations: %{
        theoretical_limits: calculate_theoretical_performance_limits(),
        optimization_algorithms: implement_theoretical_optimizations(),
        efficiency_maximization: setup_efficiency_maximization()
      }
    }
    
    {:ok, advanced_patterns}
  end
  
  defp monitor_theoretical_excellence(system) do
    excellence_metrics = %{
      theoretical_performance_ratio: measure_theoretical_performance_ratio(system),
      advanced_pattern_effectiveness: measure_pattern_effectiveness(system),
      emergence_quality: measure_emergence_quality(system),
      team_mastery_level: assess_team_mastery(system)
    }
    
    case validate_excellence_achievement(excellence_metrics) do
      {:ok, :excellence_achieved} -> {:ok, system}
      {:improvement_needed, areas} -> {:continue_optimization, areas}
      {:error, critical_issues} -> {:fallback_required, critical_issues}
    end
  end
end

defmodule Synthesis.CoreSystem do
  @moduledoc """
  Unified system architecture combining Phoenix and Nexus excellence.
  
  Architecture Layers:
  1. Foundation: Nexus production-ready base
  2. Enhancement: Phoenix CRDT and distribution patterns
  3. Intelligence: ML-enhanced decision making
  4. Excellence: Theoretical optimization and advanced patterns
  """
  
  defstruct [
    # Foundation layer (Nexus)
    :foundation_services,
    :monitoring_system,
    :security_system,
    :deployment_system,
    
    # Enhancement layer (Phoenix integration)
    :crdt_state_management,
    :multi_protocol_transport,
    :advanced_coordination,
    
    # Intelligence layer (ML-enhanced)
    :ml_optimization_engines,
    :adaptive_algorithms,
    :prediction_systems,
    
    # Excellence layer (Advanced patterns)
    :theoretical_optimizations,
    :emergent_behaviors,
    :sophisticated_coordination,
    
    # Cross-cutting concerns
    :observability_system,
    :configuration_management,
    :health_monitoring
  ]
  
  def start_link(opts) do
    # Start with foundation, enhance progressively
    with {:ok, foundation} <- start_foundation_layer(opts),
         {:ok, enhanced} <- add_enhancement_layer(foundation, opts),
         {:ok, intelligent} <- add_intelligence_layer(enhanced, opts),
         {:ok, excellent} <- add_excellence_layer(intelligent, opts) do
      
      system = %__MODULE__{
        foundation_services: foundation,
        crdt_state_management: enhanced.crdt,
        multi_protocol_transport: enhanced.transport,
        ml_optimization_engines: intelligent.ml,
        theoretical_optimizations: excellent.theory,
        observability_system: create_unified_observability(),
        configuration_management: create_unified_config(),
        health_monitoring: create_unified_health_monitoring()
      }
      
      {:ok, system}
    else
      error -> error
    end
  end
  
  defp start_foundation_layer(opts) do
    # Nexus foundation with Phoenix integration hooks
    Synthesis.Foundation.establish_foundation(opts)
  end
  
  defp add_enhancement_layer(foundation, opts) do
    # Phoenix CRDT and distribution patterns
    enhancement_config = Keyword.get(opts, :enhancement, [])
    
    case get_enhancement_readiness_level() do
      level when level >= :crdt_ready ->
        Synthesis.CRDTIntegration.enhance_with_crdt(foundation, enhancement_config)
      
      level when level >= :distribution_ready ->
        Synthesis.DistributionPatterns.enhance_with_distribution_patterns(foundation, enhancement_config)
      
      _ ->
        {:ok, foundation}  # Stay at foundation level
    end
  end
end

defmodule Synthesis.StateManagement do
  @moduledoc """
  Unified state management combining Nexus simplicity with Phoenix CRDT excellence.
  """
  
  def update_state(agent_id, update_operation, opts \\ []) do
    strategy = determine_optimal_strategy(update_operation, opts)
    
    case strategy do
      :simple_state ->
        # Nexus-style simple, fast, reliable
        Synthesis.State.Simple.update(agent_id, update_operation)
      
      :crdt_state ->
        # Phoenix-style conflict-free
        Synthesis.State.CRDT.update(agent_id, update_operation)
      
      :hybrid_state ->
        # Best of both approaches
        execute_hybrid_state_update(agent_id, update_operation, opts)
      
      :consensus_state ->
        # Strong consistency when required
        Synthesis.State.Consensus.update(agent_id, update_operation, opts)
    end
  end
  
  defp determine_optimal_strategy(operation, opts) do
    cond do
      Keyword.get(opts, :consistency) == :strong ->
        :consensus_state
      
      conflict_prone_operation?(operation) ->
        :crdt_state
      
      performance_critical_operation?(operation) ->
        :simple_state
      
      complex_operation_with_dependencies?(operation) ->
        :hybrid_state
      
      true ->
        :simple_state  # Default to Nexus simplicity
    end
  end
  
  defp execute_hybrid_state_update(agent_id, operation, opts) do
    # Decompose operation into simple and CRDT parts
    {simple_parts, crdt_parts} = decompose_operation(operation)
    
    # Execute simple parts first (fast, reliable)
    with {:ok, simple_result} <- Synthesis.State.Simple.update(agent_id, simple_parts),
         {:ok, crdt_result} <- Synthesis.State.CRDT.update(agent_id, crdt_parts) do
      
      # Compose results
      composite_result = compose_hybrid_results(simple_result, crdt_result)
      {:ok, composite_result}
    else
      error -> 
        # Rollback and fallback to simple state
        rollback_hybrid_operation(agent_id, operation)
        Synthesis.State.Simple.update(agent_id, operation)
    end
  end
end

defmodule Synthesis.Communication do
  @moduledoc """
  Unified communication system with Phoenix transport sophistication 
  and Nexus operational reliability.
  """
  
  def send_message(target, message, opts \\ []) do
    # Determine optimal communication strategy
    strategy = select_communication_strategy(target, message, opts)
    
    # Execute with monitoring and fallback
    Synthesis.Observability.observe("communication.send_message") do
      case strategy do
        :simple_distributed_erlang ->
          # Nexus foundation: reliable Distributed Erlang
          :rpc.call(target.node, GenServer, :call, [target.pid, message])
        
        :optimized_transport ->
          # Phoenix enhancement: optimal transport selection
          Phoenix.Transport.Manager.send_message(target, message, opts)
        
        :intelligent_routing ->
          # ML-enhanced: predictive routing optimization
          Synthesis.Intelligence.smart_route(target, message, opts)
        
        :adaptive_communication ->
          # Environment-responsive communication
          Synthesis.Adaptive.context_aware_send(target, message, opts)
      end
    end
  rescue
    error ->
      # Always fallback to simple Distributed Erlang
      Logger.warn("Advanced communication failed, falling back to simple transport")
      :rpc.call(target.node, GenServer, :call, [target.pid, message])
  end
  
  defp select_communication_strategy(target, message, opts) do
    # Progressive enhancement based on system capabilities and requirements
    cond do
      Keyword.get(opts, :reliability) == :maximum ->
        :simple_distributed_erlang
      
      cross_datacenter_target?(target) and phoenix_transport_available?() ->
        :optimized_transport
      
      ml_models_trained?() and performance_critical?(message) ->
        :intelligent_routing
      
      adaptive_systems_enabled?() and dynamic_environment?() ->
        :adaptive_communication
      
      true ->
        :simple_distributed_erlang  # Default to reliability
    end
  end
end

defmodule Synthesis.Phase1.Implementation do
  @deliverables [
    :production_ready_agent_system,
    :comprehensive_monitoring,
    :enterprise_security,
    :zero_downtime_deployment,
    :team_operational_proficiency
  ]
  
  @success_criteria %{
    uptime: 0.999,
    p95_latency: 50,  # milliseconds
    security_compliance: :enterprise_grade,
    team_readiness: :operational_proficient
  }
  
  def execute_phase_1() do
    [
      # Month 1: Core Infrastructure
      implement_nexus_foundation(),
      setup_monitoring_and_security(),
      
      # Month 2: Agent System
      implement_agent_lifecycle_management(),
      setup_basic_coordination_patterns(),
      
      # Month 3: Production Readiness
      implement_deployment_automation(),
      setup_comprehensive_testing(),
      
      # Month 4: Validation and Optimization
      validate_production_readiness(),
      optimize_foundation_performance()
    ]
    |> execute_sequentially_with_validation()
  end
end

defmodule Synthesis.Phase2.CRDTIntegration do
  @deliverables [
    :hybrid_state_management,
    :crdt_operations_for_suitable_use_cases,
    :conflict_free_coordination,
    :mathematical_consistency_guarantees
  ]
  
  @success_criteria %{
    crdt_operation_success_rate: 0.99,
    conflict_resolution_automatic: 0.95,
    fallback_mechanism_reliability: 1.0,
    team_crdt_understanding: 0.8
  }
end

defmodule Synthesis.MilestoneProgression do
  @milestones [
    %{
      phase: 1,
      milestone: "Foundation Production Ready",
      criteria: [:uptime_sla_met, :performance_targets_achieved, :security_validated],
      gates: [:team_certified, :system_validated, :operations_proven]
    },
    %{
      phase: 2,
      milestone: "CRDT Benefits Demonstrated",
      criteria: [:crdt_performance_improvement, :conflict_resolution_working, :fallback_reliability],
      gates: [:team_theory_understanding, :production_stability_maintained]
    },
    %{
      phase: 3,
      milestone: "Distribution Excellence Achieved",
      criteria: [:multi_protocol_working, :placement_optimization, :cross_dc_performance],
      gates: [:scaling_validated, :transport_reliability_proven]
    },
    %{
      phase: 4,
      milestone: "Intelligence Value Delivered",
      criteria: [:ml_improvement_measured, :adaptive_behavior_working, :prediction_accuracy],
      gates: [:intelligence_safety_validated, :performance_enhancement_proven]
    },
    %{
      phase: 5,
      milestone: "Theoretical Excellence Reached",
      criteria: [:theoretical_limits_approached, :advanced_patterns_working, :team_mastery],
      gates: [:excellence_sustainability_proven, :knowledge_transfer_complete]
    }
  ]
  
  def validate_milestone_completion(phase, milestone_name) do
    milestone = Enum.find(@milestones, &(&1.phase == phase and &1.milestone == milestone_name))
    
    criteria_met = Enum.all?(milestone.criteria, &validate_criterion/1)
    gates_passed = Enum.all?(milestone.gates, &validate_gate/1)
    
    case {criteria_met, gates_passed} do
      {true, true} -> {:ok, :milestone_achieved}
      {false, _} -> {:error, {:criteria_not_met, find_failing_criteria(milestone.criteria)}}
      {_, false} -> {:error, {:gates_not_passed, find_failing_gates(milestone.gates)}}
    end
  end
end

defmodule Synthesis.Deployment.ZeroRisk do
  @moduledoc """
  Zero-risk deployment strategy that progressively enhances production systems
  while maintaining perfect stability and fallback capabilities.
  """
  
  def deploy_enhancement(current_system, enhancement, deployment_config) do
    deployment_plan = %{
      enhancement: enhancement,
      current_system: current_system,
      safety_config: deployment_config.safety,
      rollout_strategy: deployment_config.strategy || :conservative,
      monitoring_config: deployment_config.monitoring,
      rollback_triggers: deployment_config.rollback_triggers
    }
    
    execute_zero_risk_deployment(deployment_plan)
  end
  
  defp execute_zero_risk_deployment(plan) do
    with {:ok, _} <- validate_enhancement_safety(plan.enhancement),
         {:ok, _} <- setup_deployment_monitoring(plan.monitoring_config),
         {:ok, _} <- prepare_rollback_mechanisms(plan.rollback_triggers),
         {:ok, deployment_state} <- execute_progressive_rollout(plan) do
      
      monitor_deployment_success(deployment_state)
    else
      error ->
        Logger.error("Deployment validation failed", error: error)
        {:error, :deployment_aborted}
    end
  end
  
  defp execute_progressive_rollout(plan) do
    rollout_phases = [
      %{name: :shadow_deployment, traffic: 0.0, duration: hours(24)},
      %{name: :canary_deployment, traffic: 0.01, duration: hours(48)},
      %{name: :limited_rollout, traffic: 0.05, duration: hours(72)},
      %{name: :gradual_rollout, traffic: 0.25, duration: days(7)},
      %{name: :full_deployment, traffic: 1.0, duration: :infinite}
    ]
    
    Enum.reduce_while(rollout_phases, plan.current_system, fn phase, system ->
      case execute_rollout_phase(system, plan.enhancement, phase) do
        {:ok, enhanced_system} ->
          case validate_phase_success(enhanced_system, phase) do
            :success -> {:cont, enhanced_system}
            {:degradation, _issues} -> {:halt, {:rollback_required, phase}}
          end
        
        {:error, reason} ->
          {:halt, {:phase_failed, phase, reason}}
      end
    end)
  end
  
  defp validate_phase_success(system, phase) do
    # Comprehensive validation of system health after phase deployment
    validations = [
      {:performance, validate_performance_maintained(system, phase)},
      {:reliability, validate_reliability_maintained(system, phase)},
      {:functionality, validate_functionality_enhanced(system, phase)},
      {:resource_usage, validate_resource_usage_acceptable(system, phase)}
    ]
    
    case Enum.all?(validations, fn {_, result} -> result == :ok end) do
      true -> :success
      false -> {:degradation, extract_validation_failures(validations)}
    end
  end
end

defmodule Synthesis.TeamDevelopment do
  @moduledoc """
  Synchronize system complexity with team capability development.
  """
  
  @capability_levels [
    %{
      level: :nexus_foundation,
      skills: [:beam_otp, :distributed_basics, :monitoring, :deployment],
      training_duration: months(2),
      certification_required: true
    },
    %{
      level: :crdt_integration,
      skills: [:crdt_theory, :conflict_resolution, :mathematical_proofs],
      training_duration: months(1),
      certification_required: true
    },
    %{
      level: :phoenix_distribution,
      skills: [:advanced_distribution, :transport_protocols, :coordination_theory],
      training_duration: months(2),
      certification_required: true
    },
    %{
      level: :intelligence_systems,
      skills: [:ml_integration, :adaptive_algorithms, :prediction_systems],
      training_duration: months(2),
      certification_required: false
    },
    %{
      level: :theoretical_excellence,
      skills: [:swarm_intelligence, :emergent_systems, :theoretical_optimization],
      training_duration: months(3),
      certification_required: false
    }
  ]
  
  def assess_team_readiness_for_enhancement(team, target_enhancement) do
    required_level = get_required_capability_level(target_enhancement)
    current_team_level = assess_current_team_capabilities(team)
    
    case compare_capability_levels(current_team_level, required_level) do
      :ready -> {:ok, :proceed_with_enhancement}
      {:gap, missing_capabilities} -> {:training_needed, create_training_plan(missing_capabilities)}
      :significant_gap -> {:hire_expertise, determine_expertise_requirements(required_level)}
    end
  end
  
  defp create_training_plan(missing_capabilities) do
    %{
      capabilities: missing_capabilities,
      estimated_duration: calculate_training_duration(missing_capabilities),
      training_modules: design_training_modules(missing_capabilities),
      certification_requirements: extract_certification_requirements(missing_capabilities),
      progress_tracking: setup_progress_tracking(missing_capabilities)
    }
  end
end

defmodule Synthesis.LongTermEvolution do
  @evolution_roadmap [
    %{
      year: 1,
      achievement: :production_excellence,
      capabilities: [:nexus_foundation, :crdt_integration, :basic_distribution],
      team_size: 8,
      system_scale: "1K agents, 10 nodes"
    },
    %{
      year: 2,
      achievement: :theoretical_integration,
      capabilities: [:phoenix_distribution, :intelligence_systems],
      team_size: 12,
      system_scale: "10K agents, 100 nodes"
    },
    %{
      year: 3,
      achievement: :advanced_patterns,
      capabilities: [:theoretical_excellence, :emergent_behaviors],
      team_size: 15,
      system_scale: "100K agents, 1K nodes"
    },
    %{
      year: 4,
      achievement: :research_contributions,
      capabilities: [:novel_patterns, :academic_collaboration],
      team_size: 20,
      system_scale: "1M agents, 10K nodes"
    },
    %{
      year: 5,
      achievement: :industry_leadership,
      capabilities: [:standard_setting, :open_source_leadership],
      team_size: 25,
      system_scale: "10M agents, 100K nodes"
    }
  ]
  
  def plan_long_term_evolution(current_state, target_year) do
    evolution_path = Enum.take_while(@evolution_roadmap, &(&1.year <= target_year))
    
    %{
      current_capabilities: assess_current_capabilities(current_state),
      target_capabilities: extract_target_capabilities(evolution_path),
      development_phases: create_development_phases(evolution_path),
      resource_requirements: calculate_resource_requirements(evolution_path),
      risk_mitigation: identify_evolution_risks(evolution_path)
    }
  end
end

defmodule Synthesis.ContinuousInnovation do
  @moduledoc """
  Framework for continuous system evolution and innovation.
  """
  
  def establish_innovation_pipeline() do
    %{
      research_integration: setup_research_monitoring(),
      experimental_features: create_experimentation_framework(),
      community_contributions: establish_community_pipeline(),
      academic_collaboration: setup_academic_partnerships(),
      industry_standards: participate_in_standards_development()
    }
  end
  
  defp setup_research_monitoring() do
    # Monitor latest research in distributed systems, CRDT theory, ML coordination
    %{
      research_sources: [
        :arxiv_distributed_systems,
        :acm_conferences,
        :ieee_transactions,
        :industry_publications
      ],
      evaluation_criteria: [
        :theoretical_soundness,
        :practical_applicability,
        :implementation_feasibility,
        :performance_benefits
      ],
      integration_pipeline: create_research_integration_pipeline()
    }
  end
  
  defp create_experimentation_framework() do
    # Safe experimentation with new concepts
    %{
      experimental_environments: [:sandbox, :staging, :canary_production],
      safety_mechanisms: [:automatic_rollback, :performance_monitoring, :safety_bounds],
      evaluation_metrics: [:performance_impact, :reliability_impact, :complexity_cost],
      graduation_criteria: [:proven_benefits, :team_understanding, :production_readiness]
    }
  end
end