skills/proffesor-for-testing__agentic-qe

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Profa 8bb2ad1aee feat(v2.6.6): Web-Tree-Sitter migration, MinCut analysis, CriticalPathDetector

## Web-Tree-Sitter Migration (Phases 1-5)
- New WebTreeSitterParser replacing native tree-sitter bindings
- Eliminates npm install warnings about native compilation
- Updated all language extractors (TS, JS, Python, Go, Rust)

## MinCut Analysis Integration (Phases 1-6)
- New src/code-intelligence/analysis/mincut/ module
- MinCutAnalyzer: Stoer-Wagner algorithm for graph partitioning
- GraphAdapter: Code graph to MinCut format conversion
- CircularDependencyDetector: Dependency cycle detection
- ModuleCouplingAnalyzer: Module coupling analysis

## CriticalPathDetector for Coverage Analysis
- New src/coverage/CriticalPathDetector.ts
- Identifies structurally critical code paths using MinCut
- Prioritizes coverage gaps by criticality score
- Integrated with CoverageAnalyzerAgent

## Fleet Topology Management
- New src/fleet/topology/ module
- MinCut-based test file partitioning
- Integrated with test-execute-parallel MCP handler

## Other Changes
- MCP tool count corrected: 102 → 105 tools
- New CLI commands: aqe kg mincut, aqe kg circular
- 19 new tests for CriticalPathDetector

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

2025-12-26 11:02:28 +00:00

32 KiB

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RuVector MinCut Integration - GOAP Implementation Plan

Version: 1.0.0 Created: 2025-12-25 Methodology: Goal-Oriented Action Planning (GOAP) Coordination: Claude Flow + Agentic QE Fleet

Executive Summary

This plan integrates ruvector-mincut's subpolynomial O(n^{o(1)}) dynamic minimum cut algorithm into the Agentic QE Fleet to achieve:

30-50% faster parallel test execution via optimal test suite partitioning
O(log n) coupling analysis in code intelligence graphs
Real-time single-point-of-failure detection in fleet topologies
Critical path identification for coverage gap analysis

The plan uses GOAP algorithms to dynamically discover optimal action sequences, leverage mixed LLM+code execution, and coordinate specialized QE agents via Claude Flow swarm patterns.

1. World State Definitions

1.1 Initial State (Current System)

initial_state:
  # Code Intelligence
  code_graph_exists: true
  graph_has_weighted_edges: true
  graph_cut_algorithm: null  # No cut algorithm implemented
  coupling_analysis_complexity: "O(n²)"  # Current BFS-based approach

  # Fleet Topology
  fleet_topology_modes: ["hierarchical", "mesh", "hybrid", "adaptive"]
  topology_failure_detection: "heartbeat-based"  # Polling, not graph-based
  topology_optimization_realtime: false

  # Test Execution
  test_distribution_strategy: ["round-robin", "least-loaded", "random"]
  test_partitioning_algorithm: "naive"  # Simple modulo distribution
  parallel_execution_efficiency: 75-95%  # Current range

  # Coverage Analysis
  coverage_gap_detection: "diff-based"  # Simple coverage comparison
  critical_path_identification: false

  # Dependencies
  ruvector_installed: true  # v0.1.24 in package.json
  ruvector_mincut_available: false  # Not yet integrated
  wasm_optimization_enabled: false

1.2 Goal State (Target System)

goal_state:
  # Code Intelligence
  graph_cut_algorithm: "ruvector-mincut"
  coupling_analysis_complexity: "O(log n)"  # Subpolynomial improvement
  bottleneck_detection_enabled: true
  graph_cut_cache_enabled: true

  # Fleet Topology
  topology_failure_detection: "mincut-based"  # Graph-theoretic
  topology_spof_detection_realtime: true  # Single Point of Failure
  topology_optimization_realtime: true
  topology_resilience_score: true  # Quantified via min-cut capacity

  # Test Execution
  test_partitioning_algorithm: "mincut-optimal"
  test_suite_balanced_partitions: true
  parallel_execution_efficiency: 85-98%  # 10-15% improvement
  partition_rebalancing_dynamic: true

  # Coverage Analysis
  critical_path_identification: true  # Via min-cut on dependency graph
  coverage_priority_ranking: true  # Based on cut capacity

  # Implementation Quality
  unit_tests_pass: true
  integration_tests_pass: true
  performance_benchmarks_measured: true
  documentation_complete: true

  # Safety & Rollback
  feature_flag_enabled: true
  rollback_plan_tested: true

2. GOAP Action Definitions

2.1 Phase 1: Research & Architecture (OPEN MODE)

Action: `research_mincut_api`

type: LLM_ACTION
description: "Analyze ruvector-mincut API and integration points"
preconditions:
  - ruvector_installed: true
effects:
  - mincut_api_understood: true
  - integration_points_identified: true
cost: 2
tools: [Read, WebFetch, Grep]
execution: hybrid
agent_assignment: researcher
output: docs/research/ruvector-mincut-api-analysis.md

Action: `design_mincut_abstractions`

type: HYBRID_ACTION
description: "Design TypeScript abstractions for MinCut algorithms"
preconditions:
  - mincut_api_understood: true
effects:
  - mincut_interface_designed: true
  - integration_architecture_defined: true
cost: 3
tools: [Write]
execution: llm
agent_assignment: system-architect
output: src/graph/mincut/types.ts

Action: `plan_phase1_actions`

type: CODE_ACTION
description: "Generate detailed action plan for Phase 1"
preconditions:
  - integration_architecture_defined: true
effects:
  - phase1_action_plan_created: true
cost: 1
tools: [Write]
execution: code
agent_assignment: planner
output: docs/plans/phase1-detailed-actions.md

2.2 Phase 2: Core MinCut Integration (CLOSED MODE)

Action: `implement_mincut_wrapper`

type: CODE_ACTION
description: "Create TypeScript wrapper for ruvector-mincut with exact/approximate modes"
preconditions:
  - mincut_interface_designed: true
effects:
  - mincut_wrapper_implemented: true
  - exact_mode_available: true
  - approximate_mode_available: true
cost: 5
tools: [Write, Read]
execution: code
agent_assignment: coder
output: src/graph/mincut/MinCutEngine.ts
parallel_group: core_implementation

Action: `implement_graph_adapter`

type: CODE_ACTION
description: "Adapt GraphBuilder to MinCut input format"
preconditions:
  - mincut_wrapper_implemented: true
  - code_graph_exists: true
effects:
  - graph_adapter_implemented: true
  - graph_to_mincut_conversion: true
cost: 4
tools: [Write, Read, Edit]
execution: code
agent_assignment: coder
output: src/graph/mincut/GraphAdapter.ts
parallel_group: core_implementation

Action: `implement_result_interpreter`

type: CODE_ACTION
description: "Interpret MinCut results for AQE use cases"
preconditions:
  - mincut_wrapper_implemented: true
effects:
  - result_interpreter_implemented: true
  - bottleneck_detection_logic: true
  - partition_extraction_logic: true
cost: 3
tools: [Write]
execution: code
agent_assignment: coder
output: src/graph/mincut/ResultInterpreter.ts
parallel_group: core_implementation

Action: `write_unit_tests_mincut`

type: CODE_ACTION
description: "Comprehensive unit tests for MinCut wrapper"
preconditions:
  - mincut_wrapper_implemented: true
  - graph_adapter_implemented: true
effects:
  - mincut_unit_tests_written: true
cost: 4
tools: [Write, qe-test-generator]
execution: hybrid
agent_assignment: [tester, qe-test-generator]
output: tests/unit/graph/mincut/
parallel_group: testing

2.3 Phase 3: Code Intelligence Integration (CLOSED MODE)

Action: `integrate_mincut_graph_builder`

type: CODE_ACTION
description: "Add MinCut analysis methods to GraphBuilder"
preconditions:
  - graph_adapter_implemented: true
  - result_interpreter_implemented: true
effects:
  - graph_builder_mincut_integrated: true
  - coupling_analysis_complexity: "O(log n)"
cost: 5
tools: [Edit, Read]
execution: code
agent_assignment: coder
output: src/code-intelligence/graph/GraphBuilder.ts (modified)
verification_gate: unit_tests_pass

Action: `implement_bottleneck_detector`

type: CODE_ACTION
description: "Detect architectural bottlenecks via min-cut capacity"
preconditions:
  - graph_builder_mincut_integrated: true
effects:
  - bottleneck_detection_enabled: true
  - architectural_smell_detection: true
cost: 4
tools: [Write]
execution: code
agent_assignment: coder
output: src/code-intelligence/analysis/BottleneckDetector.ts
parallel_group: code_intel_features

Action: `implement_coupling_analyzer`

type: CODE_ACTION
description: "O(log n) coupling analysis using min-cut"
preconditions:
  - graph_builder_mincut_integrated: true
effects:
  - coupling_analysis_fast: true
  - module_boundary_detection: true
cost: 4
tools: [Write]
execution: code
agent_assignment: coder
output: src/code-intelligence/analysis/CouplingAnalyzer.ts
parallel_group: code_intel_features

Action: `write_integration_tests_code_intel`

type: HYBRID_ACTION
description: "Integration tests for code intelligence with real repos"
preconditions:
  - bottleneck_detection_enabled: true
  - coupling_analysis_fast: true
effects:
  - code_intel_integration_tests_pass: true
cost: 6
tools: [Write, qe-test-generator, Bash]
execution: hybrid
agent_assignment: [tester, qe-test-generator]
output: tests/integration/code-intelligence/mincut/
verification_gate: real_database_queries

2.4 Phase 4: Fleet Topology Integration (CLOSED MODE)

Action: `implement_topology_mincut_analyzer`

type: CODE_ACTION
description: "Analyze fleet topology using min-cut for SPOF detection"
preconditions:
  - mincut_wrapper_implemented: true
effects:
  - topology_spof_detection_realtime: true
  - topology_resilience_score: true
cost: 5
tools: [Write, Read]
execution: code
agent_assignment: coder
output: src/fleet/topology/MinCutAnalyzer.ts

Action: `integrate_mincut_fleet_commander`

type: CODE_ACTION
description: "Add min-cut analysis to FleetCommanderAgent"
preconditions:
  - topology_mincut_analyzer_implemented: true
effects:
  - fleet_topology_mincut_enabled: true
  - topology_optimization_realtime: true
cost: 4
tools: [Edit, Read]
execution: code
agent_assignment: coder
output: src/agents/FleetCommanderAgent.ts (modified)
verification_gate: unit_tests_pass

Action: `implement_realtime_spof_monitoring`

type: CODE_ACTION
description: "Real-time monitoring for topology changes"
preconditions:
  - fleet_topology_mincut_enabled: true
effects:
  - spof_monitoring_enabled: true
  - topology_alerts_configured: true
cost: 3
tools: [Write]
execution: code
agent_assignment: coder
output: src/fleet/topology/SPOFMonitor.ts

2.5 Phase 5: Test Execution Optimization (CLOSED MODE)

Action: `implement_mincut_partitioner`

type: CODE_ACTION
description: "Optimal test suite partitioning using min-cut"
preconditions:
  - mincut_wrapper_implemented: true
effects:
  - test_partitioning_algorithm: "mincut-optimal"
  - test_suite_balanced_partitions: true
cost: 6
tools: [Write]
execution: code
agent_assignment: coder
output: src/test/partition/MinCutPartitioner.ts

Action: `integrate_mincut_parallel_executor`

type: CODE_ACTION
description: "Use MinCut partitions in parallel test execution"
preconditions:
  - test_partitioning_algorithm: "mincut-optimal"
effects:
  - parallel_execution_mincut_enabled: true
  - partition_rebalancing_dynamic: true
cost: 4
tools: [Edit, Read]
execution: code
agent_assignment: coder
output: src/mcp/handlers/test/test-execute-parallel.ts (modified)
verification_gate: unit_tests_pass

Action: `benchmark_parallel_execution`

type: HYBRID_ACTION
description: "Benchmark parallel execution with MinCut vs naive"
preconditions:
  - parallel_execution_mincut_enabled: true
effects:
  - performance_benchmarks_measured: true
  - 30_percent_speedup_verified: true
cost: 5
tools: [Write, Bash, qe-performance-tester]
execution: hybrid
agent_assignment: [qe-performance-tester, tester]
output: tests/benchmarks/mincut-parallel-execution.bench.ts
verification_gate: 30_percent_improvement

2.6 Phase 6: Coverage Analysis Enhancement (CLOSED MODE)

Action: `implement_critical_path_detector`

type: CODE_ACTION
description: "Identify critical execution paths using min-cut"
preconditions:
  - graph_builder_mincut_integrated: true
effects:
  - critical_path_identification: true
  - coverage_priority_ranking: true
cost: 4
tools: [Write]
execution: code
agent_assignment: coder
output: src/coverage/CriticalPathDetector.ts

Action: `integrate_mincut_coverage_analyzer`

type: CODE_ACTION
description: "Enhance CoverageAnalyzerAgent with MinCut insights"
preconditions:
  - critical_path_identification: true
effects:
  - coverage_analysis_mincut_enabled: true
  - coverage_gap_prioritization: true
cost: 3
tools: [Edit, Read]
execution: code
agent_assignment: coder
output: src/agents/CoverageAnalyzerAgent.ts (modified)

2.7 Phase 7: Performance Optimization (CLOSED MODE)

Action: `implement_mincut_caching`

type: CODE_ACTION
description: "Cache min-cut results with incremental updates"
preconditions:
  - mincut_wrapper_implemented: true
effects:
  - graph_cut_cache_enabled: true
  - incremental_updates_supported: true
cost: 5
tools: [Write]
execution: code
agent_assignment: coder
output: src/graph/mincut/MinCutCache.ts

Action: `enable_wasm_optimization`

type: CODE_ACTION
description: "Enable 256-core WASM optimization for large graphs"
preconditions:
  - mincut_wrapper_implemented: true
effects:
  - wasm_optimization_enabled: true
  - large_graph_support: true
cost: 3
tools: [Edit, Read]
execution: code
agent_assignment: coder
output: src/graph/mincut/MinCutEngine.ts (modified)

Action: `benchmark_mincut_performance`

type: HYBRID_ACTION
description: "Benchmark MinCut performance on various graph sizes"
preconditions:
  - graph_cut_cache_enabled: true
  - wasm_optimization_enabled: true
effects:
  - performance_benchmarks_complete: true
  - subpolynomial_complexity_verified: true
cost: 4
tools: [Write, Bash]
execution: hybrid
agent_assignment: qe-performance-tester
output: tests/benchmarks/mincut-performance.bench.ts

2.8 Phase 8: Safety & Rollback (CLOSED MODE)

Action: `implement_feature_flag`

type: CODE_ACTION
description: "Feature flag for gradual MinCut rollout"
preconditions:
  - all_integration_complete: true
effects:
  - feature_flag_enabled: true
  - gradual_rollout_possible: true
cost: 2
tools: [Write, Edit]
execution: code
agent_assignment: coder
output: src/config/feature-flags.ts

Action: `implement_fallback_mechanism`

type: CODE_ACTION
description: "Fallback to original algorithms if MinCut fails"
preconditions:
  - feature_flag_enabled: true
effects:
  - fallback_mechanism_implemented: true
  - graceful_degradation: true
cost: 3
tools: [Edit]
execution: code
agent_assignment: coder
output: Multiple files (edit existing integration points)

Action: `test_rollback_procedure`

type: HYBRID_ACTION
description: "Test rollback from MinCut to original algorithms"
preconditions:
  - fallback_mechanism_implemented: true
effects:
  - rollback_plan_tested: true
  - rollback_verified: true
cost: 3
tools: [Write, Bash]
execution: hybrid
agent_assignment: tester
output: tests/infrastructure/mincut-rollback.test.ts

2.9 Phase 9: Documentation & Release (OPEN MODE)

Action: `write_api_documentation`

type: LLM_ACTION
description: "Comprehensive API documentation for MinCut integration"
preconditions:
  - all_implementation_complete: true
effects:
  - api_documentation_complete: true
cost: 4
tools: [Write]
execution: llm
agent_assignment: researcher
output: docs/api/mincut-integration.md

Action: `write_user_guide`

type: LLM_ACTION
description: "User guide for leveraging MinCut features"
preconditions:
  - api_documentation_complete: true
effects:
  - user_guide_complete: true
cost: 3
tools: [Write]
execution: llm
agent_assignment: researcher
output: docs/guides/using-mincut-analysis.md

Action: `write_migration_guide`

type: LLM_ACTION
description: "Migration guide for existing codebases"
preconditions:
  - user_guide_complete: true
effects:
  - migration_guide_complete: true
cost: 2
tools: [Write]
execution: llm
agent_assignment: researcher
output: docs/guides/mincut-migration.md

Action: `create_release_notes`

type: HYBRID_ACTION
description: "Generate release notes with benchmarks and examples"
preconditions:
  - documentation_complete: true
  - performance_benchmarks_complete: true
effects:
  - release_notes_created: true
cost: 2
tools: [Write]
execution: hybrid
agent_assignment: planner
output: CHANGELOG.md (new section)

3. Parallel Execution Groups

Group A: Core Implementation (Phase 2)

parallel_group: core_implementation
actions:
  - implement_mincut_wrapper
  - implement_graph_adapter
  - implement_result_interpreter
coordination: claude-flow (mesh topology)
max_agents: 3
execution_strategy: concurrent

Group B: Testing (All Phases)

parallel_group: testing
actions:
  - write_unit_tests_mincut
  - write_integration_tests_code_intel
  - benchmark_parallel_execution
  - benchmark_mincut_performance
coordination: claude-flow (hierarchical)
max_agents: 4
execution_strategy: adaptive

Group C: Code Intelligence Features (Phase 3)

parallel_group: code_intel_features
actions:
  - implement_bottleneck_detector
  - implement_coupling_analyzer
coordination: claude-flow (mesh)
max_agents: 2
execution_strategy: concurrent

4. Verification Gates

Gate 1: Core MinCut Integration

gate_id: gate_1_core_integration
phase: 2
preconditions:
  - mincut_wrapper_implemented: true
  - graph_adapter_implemented: true
  - result_interpreter_implemented: true
verification_criteria:
  - unit_tests_pass: true
  - test_coverage: "> 85%"
  - no_memory_leaks: true
verification_agent: qe-coverage-analyzer
blocking: true

Gate 2: Code Intelligence Integration

gate_id: gate_2_code_intel
phase: 3
preconditions:
  - graph_builder_mincut_integrated: true
  - bottleneck_detection_enabled: true
verification_criteria:
  - integration_tests_pass: true
  - real_database_queries: true
  - coupling_analysis_faster: true
verification_agent: qe-test-executor
blocking: true

Gate 3: Performance Benchmarks

gate_id: gate_3_performance
phase: 5
preconditions:
  - parallel_execution_mincut_enabled: true
verification_criteria:
  - 30_percent_speedup_verified: true
  - no_regression: true
  - memory_usage_acceptable: "< 512MB per worker"
verification_agent: qe-performance-tester
blocking: true

Gate 4: Safety & Rollback

gate_id: gate_4_safety
phase: 8
preconditions:
  - feature_flag_enabled: true
  - fallback_mechanism_implemented: true
verification_criteria:
  - rollback_plan_tested: true
  - no_data_loss: true
  - graceful_degradation: true
verification_agent: qe-quality-gate
blocking: true

5. Rollback Strategies

Strategy 1: Feature Flag Rollback

strategy: feature_flag_disable
trigger: performance_regression OR critical_bug
steps:
  1. Set feature flag mincut_enabled = false
  2. Verify fallback to original algorithms
  3. Monitor system stability for 1 hour
  4. Collect diagnostic logs
rollback_time: < 5 minutes
data_loss: none

Strategy 2: Code Rollback

strategy: git_revert
trigger: feature_flag_rollback_fails
steps:
  1. git revert HEAD~N (N = commits since integration)
  2. npm run build && npm run test:fast
  3. Deploy reverted version
  4. Verify system stability
rollback_time: < 30 minutes
data_loss: none (cached results may be lost)

Strategy 3: Hybrid Rollback

strategy: partial_rollback
trigger: specific_component_failure
steps:
  1. Identify failing component (e.g., test partitioner)
  2. Disable MinCut for that component only
  3. Keep other integrations active
  4. Monitor and investigate
rollback_time: < 10 minutes
data_loss: partial (component-specific cache)

6. Claude Flow Swarm Configuration

Swarm Topology: Adaptive Hierarchical

swarm_config:
  topology: adaptive
  max_agents: 15

  # Coordinator Agent
  coordinator:
    type: hierarchical-coordinator
    responsibilities:
      - Phase progression
      - Verification gate orchestration
      - Conflict resolution

  # Specialized Agent Pools
  pools:
    researchers:
      min: 1
      max: 2
      agents: [researcher]
      phases: [1, 9]

    architects:
      min: 1
      max: 1
      agents: [system-architect]
      phases: [1]

    coders:
      min: 2
      max: 5
      agents: [coder, backend-dev]
      phases: [2, 3, 4, 5, 6, 7, 8]

    testers:
      min: 2
      max: 4
      agents: [tester, qe-test-generator, qe-performance-tester]
      phases: [2, 3, 4, 5, 6, 7, 8]

    reviewers:
      min: 1
      max: 2
      agents: [reviewer, qe-code-intelligence]
      phases: [2, 3, 4, 5, 6]

    quality_gates:
      min: 1
      max: 1
      agents: [qe-quality-gate, qe-coverage-analyzer]
      phases: [2, 3, 5, 8]

  # Memory Coordination
  memory:
    shared_namespace: "aqe/mincut-integration"
    persistence: true
    ttl: 604800  # 7 days

  # Event Bus
  events:
    - phase:started
    - phase:completed
    - gate:blocked
    - gate:passed
    - action:started
    - action:completed
    - action:failed

7. Execution Plan with Agent Assignments

Phase 1: Research & Architecture (OPEN MODE)

duration: 2-3 days
agents: 3 (researcher, system-architect, planner)
execution_mode: sequential_with_checkpoints

actions:
  1. research_mincut_api (researcher)
     ↓ checkpoint: API understood
  2. design_mincut_abstractions (system-architect)
     ↓ checkpoint: Architecture approved
  3. plan_phase1_actions (planner)
     ↓ checkpoint: Plan validated

Phase 2: Core MinCut Integration (CLOSED MODE)

duration: 3-4 days
agents: 6 (3 coders, 2 testers, 1 reviewer)
execution_mode: parallel_with_gates

parallel_group_A (coders):
  - implement_mincut_wrapper (coder-1)
  - implement_graph_adapter (coder-2)
  - implement_result_interpreter (coder-3)
  ↓ sync point: core implementation complete

parallel_group_B (testers):
  - write_unit_tests_mincut (tester-1, qe-test-generator)

verification_gate_1:
  agent: qe-coverage-analyzer
  criteria: unit_tests_pass, coverage > 85%
  blocking: true

Phase 3: Code Intelligence Integration (CLOSED MODE)

duration: 4-5 days
agents: 7 (3 coders, 3 testers, 1 reviewer)
execution_mode: parallel_with_gates

sequential_actions:
  1. integrate_mincut_graph_builder (coder-1)
     ↓ checkpoint: GraphBuilder integration complete

parallel_group_C (coders):
  - implement_bottleneck_detector (coder-2)
  - implement_coupling_analyzer (coder-3)

parallel_group_B (testers):
  - write_integration_tests_code_intel (tester-1, qe-test-generator)

verification_gate_2:
  agent: qe-test-executor
  criteria: integration_tests_pass, real_database_queries
  blocking: true

Phase 4: Fleet Topology Integration (CLOSED MODE)

duration: 3-4 days
agents: 5 (2 coders, 2 testers, 1 reviewer)
execution_mode: sequential_with_parallel_testing

sequential_actions:
  1. implement_topology_mincut_analyzer (coder-1)
  2. integrate_mincut_fleet_commander (coder-1)
  3. implement_realtime_spof_monitoring (coder-2)

parallel_testing:
  - unit_tests (tester-1)
  - integration_tests (tester-2)

Phase 5: Test Execution Optimization (CLOSED MODE)

duration: 4-5 days
agents: 6 (2 coders, 3 testers, 1 reviewer)
execution_mode: sequential_with_benchmarking

sequential_actions:
  1. implement_mincut_partitioner (coder-1)
  2. integrate_mincut_parallel_executor (coder-2)

benchmarking (critical):
  - benchmark_parallel_execution (qe-performance-tester, tester-1)

verification_gate_3:
  agent: qe-performance-tester
  criteria: 30_percent_speedup_verified
  blocking: true

Phase 6: Coverage Analysis Enhancement (CLOSED MODE)

duration: 2-3 days
agents: 4 (2 coders, 2 testers)
execution_mode: sequential_with_parallel_testing

sequential_actions:
  1. implement_critical_path_detector (coder-1)
  2. integrate_mincut_coverage_analyzer (coder-2)

parallel_testing:
  - unit_tests (tester-1)
  - integration_tests (tester-2)

Phase 7: Performance Optimization (CLOSED MODE)

duration: 3-4 days
agents: 5 (2 coders, 2 testers, 1 performance-tester)
execution_mode: parallel_with_benchmarking

parallel_actions:
  - implement_mincut_caching (coder-1)
  - enable_wasm_optimization (coder-2)

benchmarking:
  - benchmark_mincut_performance (qe-performance-tester)

Phase 8: Safety & Rollback (CLOSED MODE)

duration: 2-3 days
agents: 4 (2 coders, 2 testers)
execution_mode: sequential_with_testing

sequential_actions:
  1. implement_feature_flag (coder-1)
  2. implement_fallback_mechanism (coder-1, coder-2)
  3. test_rollback_procedure (tester-1, tester-2)

verification_gate_4:
  agent: qe-quality-gate
  criteria: rollback_plan_tested, no_data_loss
  blocking: true

Phase 9: Documentation & Release (OPEN MODE)

duration: 2-3 days
agents: 2 (researcher, planner)
execution_mode: sequential

sequential_actions:
  1. write_api_documentation (researcher)
  2. write_user_guide (researcher)
  3. write_migration_guide (researcher)
  4. create_release_notes (planner)

8. Total Resource Requirements

Timeline

Total Duration: 25-34 days (5-7 weeks)
Critical Path: Phase 1 → Phase 2 → Phase 3 → Phase 5 → Phase 8 → Phase 9
Parallelizable: Phases 4, 6, 7 can overlap with other phases

Agent Requirements

Peak Concurrent Agents: 7 (Phase 3)
Total Unique Agents: 15
Agent-Days: ~120-150

Specialized QE Agents

qe_test_generator: 15-20 days (test creation)
qe-coverage-analyzer: 5-7 days (verification gates)
qe-performance-tester: 10-12 days (benchmarking)
qe-test-executor: 8-10 days (integration testing)
qe-quality-gate: 3-5 days (verification gates)
qe-code-intelligence: 5-7 days (code review)

Verification Gates

Total Gates: 4
Blocking Gates: 4
Gate Success Criteria: Must be 100% verified before phase progression

9. Risk Mitigation

Risk 1: Performance Regression

risk: MinCut slower than expected on large graphs
probability: medium
impact: high
mitigation:
  - Use approximate mode for graphs > 10,000 nodes
  - Implement aggressive caching
  - Enable WASM optimization
  - Fallback to original algorithms
verification: benchmark_mincut_performance action

Risk 2: Integration Complexity

risk: Existing code difficult to integrate with MinCut
probability: medium
impact: medium
mitigation:
  - Adapter pattern for graph conversion
  - Incremental integration (one component at a time)
  - Comprehensive unit tests before integration
verification: unit_tests_pass at each gate

Risk 3: Test Partitioning Imbalance

risk: MinCut partitions unbalanced for test suites
probability: low
impact: medium
mitigation:
  - Dynamic rebalancing
  - Hybrid approach (MinCut + heuristics)
  - Fallback to round-robin
verification: benchmark_parallel_execution action

Risk 4: Memory Overhead

risk: MinCut cache and WASM consume excessive memory
probability: low
impact: high
mitigation:
  - LRU cache eviction
  - Configurable cache size
  - Monitor memory usage in benchmarks
verification: performance_benchmarks_measured

10. Success Metrics

Performance Metrics

test_execution_speedup: 30-50%
coupling_analysis_speedup: 50-90% (O(n²) → O(log n))
spof_detection_latency: < 100ms
cache_hit_rate: > 80%
memory_overhead: < 15%

Quality Metrics

unit_test_coverage: > 85%
integration_test_coverage: > 80%
performance_test_coverage: 100% (all critical paths)
documentation_completeness: 100%
rollback_test_success: 100%

Business Metrics

developer_productivity: +20-30% (faster test cycles)
code_quality_improvement: +15-25% (better bottleneck detection)
infrastructure_cost_savings: 10-20% (fewer test workers needed)
time_to_market: -15-20% (faster CI/CD pipelines)

11. Post-Integration Monitoring

Week 1-2: Stabilization

monitoring:
  - Performance metrics (hourly)
  - Error rates (real-time)
  - Memory usage (every 5 minutes)
  - User feedback collection

actions:
  - Hotfix critical bugs
  - Adjust feature flag rollout (0% → 10% → 25%)
  - Fine-tune cache parameters

Week 3-4: Optimization

monitoring:
  - Performance trends (daily)
  - Cache efficiency (daily)
  - User adoption (weekly)

actions:
  - Performance tuning based on production data
  - Expand feature flag rollout (25% → 50% → 100%)
  - Gather user case studies

Month 2-3: Learning & Iteration

monitoring:
  - Long-term performance trends (weekly)
  - New use cases discovered (ongoing)
  - Integration feedback (ongoing)

actions:
  - Document learned patterns
  - Publish case studies
  - Plan future enhancements
  - Train Nightly-Learner on successful patterns

12. GOAP Plan Execution Commands

Initialize Swarm

# Initialize Claude Flow swarm with adaptive topology
npx claude-flow@alpha swarm init --topology adaptive --max-agents 15

Execute Phase 1 (Research)

# Spawn research agents concurrently
# (Use Claude Code Task tool in actual execution)
Task("Research MinCut API", "research_mincut_api action", "researcher")
Task("Design Abstractions", "design_mincut_abstractions action", "system-architect")
Task("Plan Phase 1", "plan_phase1_actions action", "planner")

Execute Phase 2 (Core Integration)

# Spawn implementation agents in parallel
Task("Implement MinCut Wrapper", "implement_mincut_wrapper action", "coder")
Task("Implement Graph Adapter", "implement_graph_adapter action", "coder")
Task("Implement Result Interpreter", "implement_result_interpreter action", "coder")
Task("Write Unit Tests", "write_unit_tests_mincut action", "qe-test-generator")

# Run verification gate
Task("Verify Core Integration", "gate_1_core_integration", "qe-coverage-analyzer")

Execute Phase 3 (Code Intelligence)

# Sequential then parallel
Task("Integrate GraphBuilder", "integrate_mincut_graph_builder action", "coder")

# After GraphBuilder integration completes:
Task("Implement Bottleneck Detector", "implement_bottleneck_detector action", "coder")
Task("Implement Coupling Analyzer", "implement_coupling_analyzer action", "coder")
Task("Write Integration Tests", "write_integration_tests_code_intel action", "qe-test-generator")

# Run verification gate
Task("Verify Code Intel Integration", "gate_2_code_intel", "qe-test-executor")

Execute Phase 5 (Test Optimization)

Task("Implement MinCut Partitioner", "implement_mincut_partitioner action", "coder")
Task("Integrate Parallel Executor", "integrate_mincut_parallel_executor action", "coder")
Task("Benchmark Parallel Execution", "benchmark_parallel_execution action", "qe-performance-tester")

# Run verification gate
Task("Verify Performance Gains", "gate_3_performance", "qe-performance-tester")

Execute Phase 8 (Safety)

Task("Implement Feature Flag", "implement_feature_flag action", "coder")
Task("Implement Fallback", "implement_fallback_mechanism action", "coder")
Task("Test Rollback", "test_rollback_procedure action", "tester")

# Run verification gate
Task("Verify Safety Mechanisms", "gate_4_safety", "qe-quality-gate")

13. Appendix: File Structure

New Files Created

src/graph/mincut/
  ├── types.ts                    # TypeScript interfaces
  ├── MinCutEngine.ts             # Core wrapper
  ├── GraphAdapter.ts             # Graph conversion
  ├── ResultInterpreter.ts        # Result processing
  └── MinCutCache.ts              # Caching layer

src/code-intelligence/analysis/
  ├── BottleneckDetector.ts       # Bottleneck detection
  └── CouplingAnalyzer.ts         # Coupling analysis

src/fleet/topology/
  ├── MinCutAnalyzer.ts           # Topology analysis
  └── SPOFMonitor.ts              # SPOF monitoring

src/test/partition/
  └── MinCutPartitioner.ts        # Test partitioning

src/coverage/
  └── CriticalPathDetector.ts     # Critical path analysis

src/config/
  └── feature-flags.ts            # Feature flags

tests/unit/graph/mincut/          # Unit tests
tests/integration/code-intelligence/mincut/  # Integration tests
tests/benchmarks/                  # Performance benchmarks
tests/infrastructure/              # Rollback tests

docs/research/
  └── ruvector-mincut-api-analysis.md

docs/plans/
  └── phase1-detailed-actions.md

docs/api/
  └── mincut-integration.md

docs/guides/
  ├── using-mincut-analysis.md
  └── mincut-migration.md

Modified Files

src/code-intelligence/graph/GraphBuilder.ts  # Add MinCut methods
src/agents/FleetCommanderAgent.ts            # Add topology analysis
src/agents/CoverageAnalyzerAgent.ts          # Add critical path detection
src/mcp/handlers/test/test-execute-parallel.ts  # Use MinCut partitions

14. References

RuVector MinCut Research Paper (December 2025)
- Subpolynomial O(n^{o(1)}) dynamic minimum cut algorithm
- 256-core WASM optimization techniques
AQE Fleet Architecture
- /workspaces/agentic-qe-cf/src/code-intelligence/graph/GraphBuilder.ts
- /workspaces/agentic-qe-cf/src/agents/FleetCommanderAgent.ts
- /workspaces/agentic-qe-cf/src/mcp/handlers/test/test-execute-parallel.ts
GOAP Algorithm
- "Goal-Oriented Action Planning: Ten Years of AI Programming" (Jeff Orkin, 2006)
- A* pathfinding through state space
- Dynamic replanning based on execution results
Claude Flow Documentation
- Swarm topologies (hierarchical, mesh, adaptive)
- Agent coordination patterns
- Memory management

Plan Status: READY FOR EXECUTION Approval Required: User explicit approval before commits Execution Mode: GOAP with dynamic replanning Coordination: Claude Flow swarm with adaptive topology

Generated by Agentic QE Fleet v2.6.5 - GOAP Planner Next Step: User review and approval to begin Phase 1

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