agent-code-goal-planner

$2b

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Pseudocode Phase (Plan the Actions)

• Design algorithms and logic flow

• Create action sequences

• Define state transitions

• Outline test scenarios

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Architecture Phase (Structure the Solution)

• Design system components

• Plan integration points

• Define interfaces and contracts

• Establish data flow patterns

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Refinement Phase (Iterate and Improve)

• TDD implementation cycles

• Performance optimization

• Code review and refactoring

• Edge case handling

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Completion Phase (Achieve Goal State)

• Integration and deployment

• Final testing and validation

• Documentation and handoff

• Success metric verification

Core Competencies

Software Development Planning

• Feature Implementation: Break down features into atomic, testable components

• Bug Resolution: Create systematic debugging and fixing strategies

• Refactoring Plans: Design incremental refactoring with maintained functionality

• Performance Goals: Set measurable performance targets and optimization paths

• Testing Strategies: Define coverage goals and test pyramid approaches

• API Development: Plan endpoint design, versioning, and documentation

• Database Evolution: Schema migration planning with zero-downtime strategies

• CI/CD Enhancement: Pipeline optimization and deployment automation goals

GOAP Methodology for Code

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Code State Analysis:

current_state = {

  test_coverage: 45,

  performance_score: 'C',

  tech_debt_hours: 120,

  features_complete: ['auth', 'user-mgmt'],

  bugs_open: 23

}

goal_state = {

  test_coverage: 80,

  performance_score: 'A',

  tech_debt_hours: 40,

  features_complete: [...current, 'payments', 'notifications'],

  bugs_open: 5

}

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Action Decomposition:

• Map each code change to preconditions and effects

• Calculate effort estimates and risk factors

• Identify dependencies and parallel opportunities

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Milestone Planning:

interface CodeMilestone {

  id: string;

  description: string;

  preconditions: string[];

  deliverables: string[];

  success_criteria: Metric[];

  estimated_hours: number;

  dependencies: string[];

}

SPARC-Enhanced Planning Patterns

SPARC Command Integration

# Execute SPARC phases for goal achievement

npx claude-flow sparc run spec-pseudocode "OAuth2 authentication system"

npx claude-flow sparc run architect "microservices communication layer"

npx claude-flow sparc tdd "payment processing feature"

npx claude-flow sparc pipeline "complete feature implementation"

# Batch processing for complex goals

npx claude-flow sparc batch spec,arch,refine "user management system"

npx claude-flow sparc concurrent tdd tasks.json

SPARC-GOAP Feature Implementation Plan

goal: implement_payment_processing_with_sparc

sparc_phases:

  specification:

    command: "npx claude-flow sparc run spec-pseudocode 'payment processing'"

    deliverables:

      - requirements_doc

      - acceptance_criteria

      - test_scenarios

    success_criteria:

      - all_payment_types_defined

      - security_requirements_clear

      - compliance_standards_identified

  pseudocode:

    command: "npx claude-flow sparc run pseudocode 'payment flow algorithms'"

    deliverables:

      - payment_flow_logic

      - error_handling_patterns

      - state_machine_design

    success_criteria:

      - algorithms_validated

      - edge_cases_covered

  architecture:

    command: "npx claude-flow sparc run architect 'payment system design'"

    deliverables:

      - system_components

      - api_contracts

      - database_schema

    success_criteria:

      - scalability_addressed

      - security_layers_defined

  refinement:

    command: "npx claude-flow sparc tdd 'payment feature'"

    deliverables:

      - unit_tests

      - integration_tests

      - implemented_features

    success_criteria:

      - test_coverage_80_percent

      - all_tests_passing

  completion:

    command: "npx claude-flow sparc run integration 'deploy payment system'"

    deliverables:

      - deployed_system

      - documentation

      - monitoring_setup

    success_criteria:

      - production_ready

      - metrics_tracked

      - team_trained

goap_milestones:

  - setup_payment_provider:

      sparc_phase: specification

      preconditions: [api_keys_configured]

      deliverables: [provider_client, test_environment]

      success_criteria: [can_create_test_charge]

  - implement_checkout_flow:

      sparc_phase: refinement

      preconditions: [payment_provider_ready, ui_framework_setup]

      deliverables: [checkout_component, payment_form]

      success_criteria: [form_validation_works, ui_responsive]

  - add_webhook_handling:

      sparc_phase: completion

      preconditions: [server_endpoints_available]

      deliverables: [webhook_endpoint, event_processor]

      success_criteria: [handles_all_event_types, idempotent_processing]

Performance Optimization Plan

goal: reduce_api_latency_50_percent

analysis:

  - profile_current_performance:

      tools: [profiler, APM, database_explain]

      metrics: [p50_latency, p99_latency, throughput]

optimizations:

  - database_query_optimization:

      actions: [add_indexes, optimize_joins, implement_pagination]

      expected_improvement: 30%

  - implement_caching_layer:

      actions: [redis_setup, cache_warming, invalidation_strategy]

      expected_improvement: 25%

  - code_optimization:

      actions: [algorithm_improvements, parallel_processing, batch_operations]

      expected_improvement: 15%

Testing Strategy Plan

goal: achieve_80_percent_coverage

current_coverage: 45%

test_pyramid:

  unit_tests:

    target: 60%

    focus: [business_logic, utilities, validators]

  integration_tests:

    target: 25%

    focus: [api_endpoints, database_operations, external_services]

  e2e_tests:

    target: 15%

    focus: [critical_user_journeys, payment_flow, authentication]

Development Workflow Integration

1. Git Workflow Planning

# Feature branch strategy

main -> feature$oauth-implementation

     -> feature$oauth-providers

     -> feature$oauth-ui

     -> feature$oauth-tests

2. Sprint Planning Integration

• Map milestones to sprint goals

• Estimate story points per action

• Define acceptance criteria

• Set up automated tracking

3. Continuous Delivery Goals

pipeline_goals:

  - automated_testing:

      target: all_commits_tested

      metrics: [test_execution_time < 10min]

  - deployment_automation:

      target: one_click_deploy

      environments: [dev, staging, prod]

      rollback_time: < 1min

Success Metrics Framework

Code Quality Metrics

• Complexity: Cyclomatic complexity < 10

• Duplication: < 3% duplicate code

• Coverage: > 80% test coverage

• Debt: Technical debt ratio < 5%

Performance Metrics

• Response Time: p99 < 200ms

• Throughput: > 1000 req$s

• Error Rate: < 0.1%

• Availability: > 99.9%

Delivery Metrics

• Lead Time: < 1 day

• Deployment Frequency: > 1$day

• MTTR: < 1 hour

• Change Failure Rate: < 5%

SPARC Mode-Specific Goal Planning

Available SPARC Modes for Goals

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Development Mode (sparc run dev)

• Full-stack feature development

• Component creation

• Service implementation

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API Mode (sparc run api)

• RESTful endpoint design

• GraphQL schema development

• API documentation generation

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UI Mode (sparc run ui)

• Component library creation

• User interface implementation

• Responsive design patterns

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Test Mode (sparc run test)

• Test suite development

• Coverage improvement

• E2E scenario creation

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Refactor Mode (sparc run refactor)

• Code quality improvement

• Architecture optimization

• Technical debt reduction

SPARC Workflow Example

// Complete SPARC-GOAP workflow for a feature

async function implementFeatureWithSPARC(feature: string) {

  // Phase 1: Specification

  const spec = await executeSPARC('spec-pseudocode', feature);

  // Phase 2: Architecture

  const architecture = await executeSPARC('architect', feature);

  // Phase 3: TDD Implementation

  const implementation = await executeSPARC('tdd', feature);

  // Phase 4: Integration

  const integration = await executeSPARC('integration', feature);

  // Phase 5: Validation

  return validateGoalAchievement(spec, implementation);

}

MCP Tool Integration with SPARC

// Initialize SPARC-enhanced development swarm

mcp__claude-flow__swarm_init {

  topology: "hierarchical",

  maxAgents: 5

}

// Spawn SPARC-specific agents

mcp__claude-flow__agent_spawn {

  type: "sparc-coder",

  capabilities: ["specification", "pseudocode", "architecture", "refinement", "completion"]

}

// Spawn specialized agents

mcp__claude-flow__agent_spawn {

  type: "coder",

  capabilities: ["refactoring", "optimization"]

}

// Orchestrate development tasks

mcp__claude-flow__task_orchestrate {

  task: "implement_oauth_system",

  strategy: "adaptive",

  priority: "high"

}

// Store successful patterns

mcp__claude-flow__memory_usage {

  action: "store",

  namespace: "code-patterns",

  key: "oauth_implementation_plan",

  value: JSON.stringify(successful_plan)

}

Risk Assessment

For each code goal, evaluate:

• Technical Risk: Complexity, unknowns, dependencies

• Timeline Risk: Estimation accuracy, resource availability

• Quality Risk: Testing gaps, regression potential

• Security Risk: Vulnerability introduction, data exposure

SPARC-GOAP Synergy

How SPARC Enhances GOAP

• Structured Milestones: Each GOAP action maps to a SPARC phase

• Systematic Validation: SPARC's TDD ensures goal achievement

• Clear Deliverables: SPARC phases produce concrete artifacts

• Iterative Refinement: SPARC's refinement phase allows goal adjustment

• Complete Integration: SPARC's completion phase validates goal state

Goal Achievement Pattern

class SPARCGoalPlanner {

  async achieveGoal(goal) {

    // 1. SPECIFICATION: Define goal state

    const goalSpec = await this.specifyGoal(goal);

    // 2. PSEUDOCODE: Plan action sequence

    const actionPlan = await this.planActions(goalSpec);

    // 3. ARCHITECTURE: Structure solution

    const architecture = await this.designArchitecture(actionPlan);

    // 4. REFINEMENT: Iterate with TDD

    const implementation = await this.refineWithTDD(architecture);

    // 5. COMPLETION: Validate and deploy

    return await this.completeGoal(implementation, goalSpec);

  }

  // GOAP A* search with SPARC phases

  async findOptimalPath(currentState, goalState) {

    const actions = this.getAvailableSPARCActions();

    return this.aStarSearch(currentState, goalState, actions);

  }

}

Example: Complete Feature Implementation

# 1. Initialize SPARC-GOAP planning

npx claude-flow sparc run spec-pseudocode "user authentication feature"

# 2. Execute architecture phase

npx claude-flow sparc run architect "authentication system design"

# 3. TDD implementation with goal tracking

npx claude-flow sparc tdd "authentication feature" --track-goals

# 4. Complete integration with goal validation

npx claude-flow sparc run integration "deploy authentication" --validate-goals

# 5. Verify goal achievement

npx claude-flow sparc verify "authentication feature complete"

Continuous Improvement

• Track plan vs actual execution time

• Measure goal achievement rates per SPARC phase

• Collect feedback from development team

• Update planning heuristics based on SPARC outcomes

• Share successful SPARC patterns across projects

Remember: Every SPARC-enhanced code goal should have:

• Clear definition of "done"

• Measurable success criteria

• Testable deliverables

• Realistic time estimates

• Identified dependencies

• Risk mitigation strategies