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[memory bank] Some optimizations to improve effectiveness (#20835)
* [memory-bank] Overhaul based on current usage - merge learning-journal.md into existing docs - introduce public-api.md - introduce components.md for more reliable lookup * [memory-bank] Compress
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.clinerules/memory-bank.md

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- Short-term memory (activeContext.md, progress.md): Detailed, recent, specific
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- Long-term memory (systemPatterns.md, techContext.md, projectbrief.md): Compressed, patterns, principles
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- Apply this strategy on every interaction with the memory bank
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- Use "compress memory bank" trigger to perform a compression run
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- Use **compress memory bank** trigger to perform a compression run
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When compressing memory bank files:
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1. Focus on patterns over instances

memory-bank/activeContext.md

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# Active Context: Gitpod
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## Current Work Focus
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Building a comprehensive knowledge base of the Gitpod codebase and architecture for effective development, troubleshooting, and enhancement.
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We are focusing on understanding the Gitpod codebase and architecture. The primary goal is to build a comprehensive knowledge base that will allow for effective development, troubleshooting, and enhancement of the Gitpod platform.
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Key areas of focus include:
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1. **System Architecture Understanding**: Mapping out the relationships between components and services
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2. **Component Documentation**: Creating detailed documentation for each component
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3. **Development Workflow**: Understanding how to effectively develop and test changes
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4. **Documentation**: Maintaining a comprehensive memory bank for future reference
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5. **Standardized Workflows**: Establishing and documenting standardized workflows for development activities
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| Focus Area | Description |
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|------------|-------------|
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| System Architecture | Component relationships and service interactions |
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| Component Documentation | Detailed documentation for each component |
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| Development Workflow | Effective development and testing processes |
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| Documentation | Comprehensive memory bank maintenance |
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| Standardized Workflows | Established development procedures |
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## Recent Changes
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- Created the initial memory bank structure with core files
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- Established standardized workflows for development activities:
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- Product Requirements Document (PRD) workflow for feature development
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- Added a components subdirectory to the memory bank
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- Created detailed documentation for key components:
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- blobserve: Service that provides static assets from OCI images
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- content-service: Manages various types of content within the platform
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- dashboard: Web-based user inSterface for Gitpod
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- ws-manager-mk2: Kubernetes controller for managing workspace lifecycle
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- supervisor: Init process that runs inside each workspace container
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- ws-daemon: Node-level daemon for workspace operations
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- ide-service: Manages IDE configurations and resolves workspace IDE requirements
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- registry-facade: Modifies container images by adding layers for workspaces
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- image-builder-mk3: Builds custom workspace images from user-defined Dockerfiles
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- server: Main backend service handling API requests and user management
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- proxy: Main entry point for all HTTP and WebSocket traffic
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- ws-proxy: Handles routing and proxying of traffic to workspaces
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- gitpod-cli: Command-line interface for interacting with Gitpod workspaces
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- gitpod-db: Database layer for the Gitpod platform
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- gitpod-protocol: Core type definitions and shared protocol library
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- ide: Packages and manages IDEs available in Gitpod workspaces
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- ide-proxy: Serves static IDE-related assets and proxies requests
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- ws-manager-bridge: Bridges between workspace managers and the rest of the platform
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- ide-metrics: Collects and processes metrics and error reports from IDE components
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- local-app: Provides tools for interacting with Gitpod workspaces from local machine
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- public-api-server: Provides a stable, versioned API for programmatic access to Gitpod
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- usage: Tracks, calculates, and manages workspace usage and billing
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- common-go: Foundational Go library providing shared utilities across services
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- workspacekit: Manages container setup and namespace isolation for workspaces
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- spicedb: Provides authorization and permission management
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- scrubber: Removes or masks sensitive information from data
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- service-waiter: Waits for services to become available
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- docker-up: Sets up and manages Docker within workspace containers
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- image-builder-bob: Builds and pushes workspace images during workspace startup
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- node-labeler: Manages node labels and annotations for workspace scheduling
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- openvsx-proxy: Caching proxy service for the OpenVSX registry
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- scheduler-extender: Extends Kubernetes scheduling capabilities for workspaces
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- ipfs: Provides distributed content-addressable storage for container images
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- Created documentation for API components:
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- content-service-api: Interfaces for managing workspace content, blobs, logs, and IDE plugins
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- ide-metrics-api: Interfaces for collecting metrics and error reports from IDE components
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- ide-service-api: Interfaces for managing IDE configurations and resolving workspace IDE requirements
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- image-builder-api: Interfaces for building Docker images for workspaces
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- local-app-api: Interfaces for communication between local machines and remote workspaces
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- registry-facade-api: Interfaces for dynamically assembling workspace container images
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- supervisor-api: Interfaces for workspace management, terminal handling, and port forwarding
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- usage-api: Interfaces for tracking, calculating, and managing workspace usage and billing
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- ws-daemon-api: Interfaces for workspace content management and container operations
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- ws-manager-api: Interfaces for managing the lifecycle of workspaces in Kubernetes clusters
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- ws-manager-bridge-api: Interfaces for dynamic management of workspace clusters
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- Enhanced API component documentation with code generation information:
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- Added details on how to regenerate code from protobuf definitions
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- Documented the implementation details of the generation process
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- Included instructions for building components after code regeneration
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- Updated .clinerules to standardize API documentation with code generation sections
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As work progresses, this section will continue to be updated to reflect:
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- Additional component documentation
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- Code changes implemented
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- Bug fixes
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- Feature additions
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- Refactoring efforts
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- Established memory bank structure with core files
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- Created standardized PRD workflow for feature development
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- Documented 33 service components and 11 API components
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- Enhanced API component documentation with code generation information
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- Implemented server readiness probe with database, SpiceDB, and Redis connectivity checks
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## Next Steps
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The immediate next steps are:
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1. **Explore Component Interactions**: Understand how components interact with each other
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2. **Set Up Development Environment**: Configure a local development environment for effective testing
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3. **Explore Build System**: Gain hands-on experience with both in-tree and Leeway builds
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4. **Test Component Builds**: Practice building and testing different component types
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5. **Identify Initial Tasks**: Determine specific tasks or improvements to focus on
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6. **Establish Testing Approach**: Define how changes will be tested and validated
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7. **Update Memory Bank**: Continue to refine and expand the memory bank as new information is discovered
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## Active Decisions and Considerations
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### Architecture Decisions
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- **Component Boundaries**: Understanding and respecting the boundaries between different microservices
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- **API Contracts**: Maintaining compatibility with existing API contracts
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- **Performance Considerations**: Ensuring changes maintain or improve performance characteristics
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1. **Component Interactions**: Understand inter-component communication
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2. **Development Environment**: Configure local development setup
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3. **Build System**: Gain experience with in-tree and Leeway builds
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4. **Component Builds**: Practice building different component types
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5. **Initial Tasks**: Identify specific improvement areas
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6. **Testing Approach**: Define validation methodology
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7. **Memory Bank Updates**: Continue documentation expansion
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### Development Approach
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## Active Decisions
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- **Testing Strategy**: Determining appropriate testing approaches for different types of changes
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- **Documentation Standards**: Establishing standards for code documentation and memory bank updates
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- **Collaboration Model**: Defining how to effectively collaborate with the team
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| Category | Considerations |
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|----------|----------------|
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| **Architecture** | • Component boundaries<br>• API contracts<br>• Performance impacts |
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| **Development** | • Testing strategies<br>• Documentation standards<br>• Collaboration model |
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| **Technical** | • Backward compatibility<br>• Security implications<br>• Scalability impacts |
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### Technical Considerations
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## Current Questions
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- **Backward Compatibility**: Ensuring changes maintain compatibility with existing clients and integrations
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- **Security Implications**: Evaluating security implications of any changes
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- **Scalability**: Considering how changes impact system scalability
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## Current Questions and Uncertainties
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As we begin working with the Gitpod codebase, several questions and uncertainties exist:
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1. **Component Interactions**: How do the various components interact in specific scenarios?
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2. **Performance Bottlenecks**: What are the current performance bottlenecks in the system?
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3. **Testing Approach**: What is the most effective way to test changes to different components?
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4. **Deployment Process**: What is the process for deploying changes to production?
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5. **Feature Priorities**: What features or improvements are currently prioritized?
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These questions will be addressed as we continue to explore the codebase and work with the system.
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1. How do components interact in specific scenarios?
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2. What are the current performance bottlenecks?
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3. What's the most effective testing approach for different components?
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4. What is the process for production deployment?
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5. Which features/improvements are currently prioritized?
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## Active Experiments
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No active experiments are currently in progress. This section will be updated as experiments are designed and conducted to test hypotheses about the system or potential improvements.
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No active experiments currently in progress.
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## Recent Learnings
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Initial exploration of the Gitpod codebase has revealed:
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- **Microservices Architecture**: Gitpod is built as a collection of loosely coupled services, each with specific responsibilities
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- **Go and TypeScript**: Backend services are primarily written in Go, while frontend components use TypeScript/React
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- **Kubernetes Native**: Many components are designed as Kubernetes controllers or operators
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- **gRPC Communication**: Services communicate using gRPC for efficient, typed communication
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- **Component Patterns**: Components follow consistent patterns:
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- Go services typically have a cmd/ directory with command implementations
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- TypeScript services use React and modern frontend practices
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- Most components have a clear separation between API definitions and implementations
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- **Build System Approaches**: Gitpod uses two primary approaches for building components:
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- **In-tree builds**: Using language-specific tools (yarn, go) directly in the workspace
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- Primary method for local development
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- TypeScript components use commands defined in package.json (yarn build, yarn test, etc.)
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- Go components use standard Go tools (go build, go test, etc.)
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- **Out-of-tree builds**: Using Leeway, a custom build tool
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- Primary method for CI to generate build artifacts
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- Works by copying relevant sources into a separate file tree
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- Can also be run from inside the workspace
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- Manages complex dependencies between components
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- **Server Health Checks**: The Gitpod server uses two distinct health check mechanisms:
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- **Liveness Probe**: Checks the event loop lag to determine if the server is functioning properly
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- **Readiness Probe**: Checks database, SpiceDB, and Redis connectivity to ensure the server is ready to handle requests
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- Controlled by a ConfigCat feature flag `server_readiness_probe` (default: true) that can bypass the actual checks
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- **Critical Dependencies**: The server has critical external dependencies that must be operational:
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- **Database (TypeORM)**: Used for persistent storage
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- **SpiceDB**: Used for authorization and permission management
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- **Redis**: Used for caching, pub/sub messaging, and distributed locking
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- **Server Architecture Patterns**:
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- The server uses dependency injection (Inversify) for component management
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- Components are registered in `container-module.ts` and injected where needed
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- The server exposes HTTP endpoints for health checks and other functionality
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- Routes are registered in the `registerRoutes` method in `server.ts`
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- New functionality typically requires:
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1. Creating a new controller/service class
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2. Registering it in the container module
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3. Injecting it where needed
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4. Updating any relevant configuration files
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This section will be continuously updated as new insights are gained through working with the system.
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| Area | Insights |
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|------|----------|
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| **Architecture** | • Microservices with loosely coupled services<br>• Go (backend) and TypeScript/React (frontend)<br>• Kubernetes-native components<br>• gRPC for service communication |
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| **Component Patterns** | • Go services with cmd/ directory structure<br>• TypeScript with Reac<br>• Clear API/implementation separation |
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| **Build System** | • In-tree: Language tools (yarn, go) for local dev<br>• Out-of-tree: Leeway for CI/CD and dependency management |
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| **Server Architecture** | • Dependency injection (Inversify)<br>• Component registration in container-module.ts<br>• HTTP endpoints in registerRoutes method<br>• Health checks: liveness (event loop) and readiness (dependencies) |
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| **Critical Dependencies** | • Database (TypeORM)<br>• SpiceDB (authorization)<br>• Redis (caching, pub/sub, locking) |

memory-bank/components.md

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# Gitpod Components Index
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This file serves as an index for the per-component documentation in individual md files in the `memory-bank/components` directory.
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## Core Services
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| Category | Components |
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|----------|------------|
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| **Workspace Management** | [ws-manager-mk2](components/ws-manager-mk2.md), [ws-daemon](components/ws-daemon.md), [supervisor](components/supervisor.md), [workspacekit](components/workspacekit.md), [ws-proxy](components/ws-proxy.md), [ws-manager-bridge](components/ws-manager-bridge.md) |
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| **Image Management** | [image-builder-mk3](components/image-builder-mk3.md), [registry-facade](components/registry-facade.md), [blobserve](components/blobserve.md), [ipfs](components/ipfs.md), [image-builder-bob](components/image-builder-bob.md) |
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| **Content Management** | [content-service](components/content-service.md) |
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| **User Interface** | [dashboard](components/dashboard.md), [gitpod-cli](components/gitpod-cli.md), [local-app](components/local-app.md) |
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| **IDE Integration** | [ide](components/ide.md), [ide-service](components/ide-service.md), [ide-proxy](components/ide-proxy.md), [ide-metrics](components/ide-metrics.md), [openvsx-proxy](components/openvsx-proxy.md) |
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| **Core Infrastructure** | [server](components/server.md), [proxy](components/proxy.md), [gitpod-db](components/gitpod-db.md), [gitpod-protocol](components/gitpod-protocol.md), [public-api-server](components/public-api-server.md) |
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| **Support Services** | [docker-up](components/docker-up.md), [common-go](components/common-go.md), [service-waiter](components/service-waiter.md), [node-labeler](components/node-labeler.md), [scrubber](components/scrubber.md), [spicedb](components/spicedb.md), [scheduler-extender](components/scheduler-extender.md), [usage](components/usage.md) |
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## API Components
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| Category | Components |
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|----------|------------|
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| **Workspace APIs** | [ws-manager-api](components/ws-manager-api.md), [ws-daemon-api](components/ws-daemon-api.md), [ws-manager-bridge-api](components/ws-manager-bridge-api.md), [supervisor-api](components/supervisor-api.md) |
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| **Content APIs** | [content-service-api](components/content-service-api.md) |
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| **Image APIs** | [image-builder-api](components/image-builder-api.md), [registry-facade-api](components/registry-facade-api.md) |
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| **IDE APIs** | [ide-service-api](components/ide-service-api.md), [ide-metrics-api](components/ide-metrics-api.md) |
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| **Platform APIs** | [public-api](components/public-api.md), [usage-api](components/usage-api.md), [local-app-api](components/local-app-api.md) |

memory-bank/components/content-service-api.md

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- Generates TypeScript code
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- Updates license headers
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### Implementation Details
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The `generate.sh` script uses functions from the shared script at `scripts/protoc-generator.sh`, which provides common functionality for all API components:
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- `install_dependencies`: Installs required protoc plugins
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- `protoc_buf_generate`: Uses the `buf` tool to generate code based on the configuration in `buf.gen.yaml`
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- `update_license`: Updates license headers in generated files
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### Building After Code Generation
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After regenerating the code, you may need to rebuild components that depend on the Content Service API. This typically involves:
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memory-bank/components/gitpod-db.md

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- **User**: User accounts and profiles
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- **Workspace**: Workspace metadata and configuration
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- **WorkspaceInstance**: Running workspace instances
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- **Team**: Team organization and membership
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- **Team**: Represents an "Organization" within Gitpod, storing its core details, membership, and organization-level state. The entity is named `DBTeam` for historical reasons.
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- **Project**: Project configuration and settings
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- **Identity**: User identity and authentication
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- **Token**: Authentication tokens and credentials

memory-bank/components/gitpod-protocol.md

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- `User`: User account information
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- `Identity`: Authentication provider identity
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- `Token`: Authentication tokens
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- `Organization` (defined in `src/teams-projects-protocol.ts`): Represents a team/organization, including its settings
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- `GitpodToken`: API tokens
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- `AuthProviderInfo`: Authentication provider metadata
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- `AuthProviderEntry`: Authentication provider configuration

memory-bank/components/ide-metrics-api.md

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- Generates Java code
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### Implementation Details
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The `generate.sh` script uses functions from the shared script at `scripts/protoc-generator.sh` and defines some custom functions:
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- `install_dependencies`: Installs required protoc plugins
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- `local_go_protoc`: Generates Go code with specific include paths
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- `go_protoc_gateway`: Generates gRPC Gateway code for REST endpoints
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- `local_java_protoc`: Generates Java code
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- `update_license`: Updates license headers in generated files
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The IDE Metrics API is unique in that it generates both gRPC and REST API endpoints using the gRPC Gateway, and it also generates Java code for use in JetBrains IDE plugins.
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### Building After Code Generation

memory-bank/components/ide-service-api.md

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- Generates TypeScript code using `ts_proto`
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### Implementation Details
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The `generate.sh` script uses functions from the shared script at `scripts/protoc-generator.sh`:
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- `install_dependencies`: Installs required protoc plugins
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- `go_protoc`: Generates Go code
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- `typescript_ts_protoc`: Generates TypeScript code using ts_proto
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- `update_license`: Updates license headers in generated files
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The IDE Service API generates TypeScript code using the ts_proto plugin, which creates more modern TypeScript interfaces compared to the standard protoc TypeScript generator.
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### Building After Code Generation

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