Implementation Plan: AI Development Gateway
Overview
This implementation plan breaks down the AI Development Gateway into discrete coding tasks that build incrementally toward a complete system. The implementation follows a microservices architecture with the Chat Gateway Service as the core orchestrator, integrating with OpenWebUI chat interface, BMAD workflow engine, multiple AI models, Git repositories, and Kubernetes observability.
PRIORITY: Get OpenWebUI running early for immediate visual feedback and development progress visibility, then implement BMAD workflow engine for structured development methodology.
Tasks
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1. Set up project structure and core interfaces
- Create Python project structure with FastAPI framework
- Define core data models for Project, State, and Configuration
- Set up dependency injection and configuration management
- Requirements: 2.1, 6.1
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1.5. Steel Thread - Minimal Working System
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1.5.1 Create minimal OpenWebUI deployment
- Deploy OpenWebUI with basic configuration to Kubernetes
- Set up ingress for external access
- Verify UI loads and is accessible from browser
- Requirements: 1.1
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1.5.2 Create minimal gateway with echo functionality
- Implement basic FastAPI service with single chat endpoint
- Return echo responses to verify end-to-end connectivity
- Deploy to Kubernetes with service exposure
- Requirements: 1.1, 1.4
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1.5.3 Connect OpenWebUI to gateway
- Configure OpenWebUI to connect to gateway service
- Test basic message flow: UI → Gateway → Echo Response
- Verify browser compatibility
- Requirements: 1.1, 1.4
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1.5.4 Add basic AI model integration
- Integrate single AI model (Claude or OpenAI) with minimal routing
- Replace echo with actual AI responses
- Test complete flow: UI → Gateway → AI Model → Response
- Requirements: 10.1
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1.6. Steel Thread Checkpoint
- Verify complete steel thread works end-to-end
- Test from browser
- Confirm AI responses are working through OpenWebUI
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2. Deploy OpenWebUI and basic gateway integration
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2.1 Create Kubernetes manifests for OpenWebUI
- Deploy OpenWebUI to local Kubernetes cluster
- Configure ingress and service exposure
- Set up basic environment configuration
- Requirements: 1.1
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2.2 Implement basic chat endpoint for OpenWebUI integration
- Create minimal chat API endpoint that OpenWebUI can connect to
- Implement basic request/response handling
- Add CORS configuration for OpenWebUI access
- Requirements: 1.1, 1.4
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2.3 Deploy gateway service to Kubernetes
- Create Kubernetes deployment manifests for gateway
- Configure service discovery and networking
- Set up development ingress for API access
- Requirements: All
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3. Implement basic AI model integration
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3.1 Create simple model router for immediate functionality
- Implement basic ModelRouter with Claude/OpenAI support
- Create simple request forwarding without lifecycle restrictions
- Enable basic chat functionality through OpenWebUI
- Requirements: 10.1-10.3
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3.2 Add basic authentication middleware
- Implement simple JWT token validation
- Create development token generation for testing
- Secure the chat endpoint with basic auth
- Requirements: 6.1, 6.2
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4. Checkpoint - Verify OpenWebUI integration works
- Ensure OpenWebUI can connect to gateway and send/receive messages
- Verify AI model responses are working through the UI
- Test basic authentication flow
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5. Implement project discovery and context loading
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5.1 Implement Git repository scanning for .ai/project.yaml files
- Create GitService class with repository scanning capabilities
- Implement project discovery logic with path resolution
- Requirements: 2.1, 5.1
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5.2 Implement project scope validation
- Create ScopeValidator class for included/excluded path matching
- Implement glob pattern matching for file access control
- Requirements: 5.5, 5.6
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5.3 Add project selection to chat interface
- Extend chat API to include project context
- Implement project switching in OpenWebUI
- Show current project in UI
- Requirements: 1.4, 5.1-5.4
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6. Implement lifecycle state management
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6.1 Create lifecycle state machine
- Implement LifecycleManager class with stage transitions
- Create state.yaml parsing and validation logic
- Requirements: 3.1, 3.2
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6.2 Implement Git-based approval tracking
- Create ApprovalTracker class to analyze Git commit history
- Parse commit messages and trailers for approval metadata
- Requirements: 2.2, 2.3
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6.3 Add lifecycle enforcement to AI model routing
- Implement capability-based AI restrictions
- Show current lifecycle stage in OpenWebUI
- Restrict AI capabilities based on current stage
- Requirements: 4.1-4.7
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7. Implement BMAD workflow engine
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7.1 Create BMAD workflow state machine
- Implement BMADEngine class with phase management
- Create workflow.yaml parsing and validation logic
- Implement role-based capability enforcement
- Requirements: 11.1, 11.2
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7.2 Implement BMAD artifact management
- Create ArtifactManager class for structured artifact generation
- Implement template-based artifact creation
- Add artifact validation and consistency checking
- Requirements: 11.3, 11.7
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7.3 Integrate BMAD with lifecycle management
- Connect BMAD phases with traditional lifecycle stages
- Implement dual workflow state management
- Add BMAD phase transitions to OpenWebUI
- Requirements: 11.4, 11.5
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7.4 Implement role-specific AI context
- Create RoleManager class for AI capability restriction
- Implement role-specific context provision to AI models
- Add role switching capabilities in OpenWebUI
- Requirements: 11.6
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8. Implement Git operations service
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8.1 Create Git operations manager
- Implement GitOperationsManager class with repository access
- Create branch management and pull request creation logic
- Requirements: 7.1-7.5
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8.2 Implement diff-only code generation
- Create DiffGenerator class for AI code output formatting
- Implement validation to ensure only diff format is used
- Requirements: 4.6, 7.1
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9. Implement Kubernetes observability
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9.1 Create Kubernetes observer service
- Implement K8sObserver class with read-only cluster access
- Create deployment status and pod health monitoring
- Requirements: 8.1-8.5
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9.2 Implement log summarization
- Create LogSummarizer class for application log analysis
- Implement safe log filtering to prevent secret exposure
- Requirements: 8.3
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10. Advanced features and polish
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10.1 Implement advanced request orchestration
- Create RequestOrchestrator class to coordinate all services
- Implement advanced context loading and capability checking
- Integrate BMAD workflow with traditional lifecycle
- Requirements: 1.1-1.5, 3.1-3.5, 11.1-11.7
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10.2 Implement secret isolation
- Create SecretManager class with secure secret store integration
- Implement request/response filtering to prevent secret exposure
- Requirements: 6.3, 6.5
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10.3 Implement CI/CD validation
- Implement CIValidator class for lifecycle compliance checking
- Create validation rules for stage transitions and artifact changes
- Add BMAD workflow validation to CI pipeline
- Requirements: 9.1-9.5
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11. Testing and validation
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[ ]* 11.1 Write property test for project configuration validation
- Property 1: Configuration Schema Validation
- Validates: Requirements 2.1
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[ ]* 11.2 Write property test for project discovery
- Property 2: Project Context Isolation
- Validates: Requirements 5.1, 5.2
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[ ]* 11.3 Write property test for scope enforcement
- Property 3: Project Scope Enforcement
- Validates: Requirements 5.5, 5.6
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[ ]* 11.4 Write property test for lifecycle enforcement
- Property 1: Lifecycle Stage Enforcement
- Validates: Requirements 3.2, 4.1-4.5
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[ ]* 11.5 Write property test for Git state consistency
- Property 4: Git State Consistency
- Validates: Requirements 2.2, 2.3
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[ ]* 11.6 Write property test for authentication
- Property 6: Authentication Token Validity
- Validates: Requirements 6.1, 6.2
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[ ]* 11.7 Write property test for secret isolation
- Property 8: Secret Isolation
- Validates: Requirements 6.3, 6.5
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[ ]* 11.8 Write property test for diff-only generation
- Property 7: Diff-Only Code Generation
- Validates: Requirements 4.6, 7.1
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[ ]* 11.9 Write property test for CI enforcement
- Property 9: CI Validation Enforcement
- Validates: Requirements 9.1-9.5
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[ ]* 11.10 Write property test for BMAD role enforcement
- Property 10: BMAD Role Capability Enforcement
- Validates: Requirements 11.1, 11.2
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[ ]* 11.11 Write property test for BMAD artifact consistency
- Property 11: BMAD Artifact Structure Consistency
- Validates: Requirements 11.3, 11.7
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[ ]* 11.12 Write property test for BMAD phase transitions
- Property 12: BMAD Phase Transition Validation
- Validates: Requirements 11.4
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[ ]* 11.13 Write property test for BMAD state synchronization
- Property 13: BMAD Workflow State Synchronization
- Validates: Requirements 11.5
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[ ]* 11.14 Write property test for BMAD role context
- Property 14: BMAD Role Context Provision
- Validates: Requirements 11.6
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[ ]* 11.15 Write integration tests for chat API
- Test end-to-end chat workflows with project context
- Test lifecycle enforcement through API endpoints
- Test BMAD workflow integration
- Requirements: 1.1-1.5, 3.1-3.5, 11.1-11.7
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[ ]* 11.16 Write unit tests for model routing
- Test model selection logic and fallback mechanisms
- Test capability enforcement across different stages
- Test BMAD role-based restrictions
- Requirements: 4.1-4.7, 10.1-10.5, 11.1-11.2
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[ ]* 11.17 Write unit tests for Kubernetes integration
- Test read-only access enforcement
- Test log summarization and filtering
- Requirements: 8.1-8.5
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[ ]* 11.18 Write acceptance tests
- Test complete AI-assisted development workflows
- Test multi-project context isolation
- Test security and authentication flows
- Test BMAD workflow end-to-end scenarios
- Requirements: All
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12. Final checkpoint - Ensure all tests pass
- Ensure all tests pass, ask the user if questions arise.
Notes
- PRIORITY CHANGE: Tasks 2-4 focus on getting OpenWebUI running early for immediate visual feedback
- BMAD INTEGRATION: Tasks 7.1-7.4 implement BMAD workflow engine for structured development methodology
- Tasks marked with
*are optional and can be skipped for faster MVP - Each task references specific requirements for traceability
- Checkpoints ensure incremental validation
- Property tests validate universal correctness properties
- Unit tests validate specific examples and edge cases
- Integration and acceptance tests validate end-to-end functionality
- All testing tasks moved to section 11 to focus on core functionality first
- BMAD workflow integration adds structured methodology while maintaining Git-native state management