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Claude Context for Gitpod
This file provides essential context for AI assistants working on the Gitpod codebase.
Project Overview
Gitpod is a cloud development environment platform that provides automated, ready-to-code development environments for any Git repository. The platform consists of multiple interconnected services and components that work together to deliver seamless developer experiences.
Memory Bank Structure
This repository maintains comprehensive documentation in the memory-bank/ directory:
Core Documentation
- Project Brief - Foundation document defining core requirements and goals
- Product Context - Why this project exists and problems it solves
- System Patterns - System architecture and key technical decisions
- Tech Context - Technologies used and development setup
- Active Context - Current work focus and recent changes
- Progress - What works, what's left to build, and current status
Component Documentation
The memory-bank/components/ directory contains detailed documentation for each service and component in the Gitpod platform. Start with components.md for an overview.
Working with This Codebase
- Start by reading the memory bank - Always begin by reviewing the core documentation files above to understand the current state and context
- Component-specific work - Refer to the relevant component documentation in
memory-bank/components/ - Architecture decisions - Check
memory-bank/systemPatterns.mdfor established patterns and conventions - Current focus - Review
memory-bank/activeContext.mdfor ongoing work and priorities
Key Characteristics
- Multi-service architecture - Gitpod consists of dozens of interconnected services
- Kubernetes-native - Designed to run on Kubernetes with cloud-native patterns
- Developer experience focus - Every decision prioritizes developer productivity and experience
- Workspace lifecycle management - Complex orchestration of development environments
- Security and isolation - Strong emphasis on secure, isolated development environments
Important Notes
- This is a production system serving thousands of developers
- Changes should be thoroughly tested and follow established patterns
- Security considerations are paramount given the multi-tenant nature
- Performance and scalability are critical concerns
- The codebase spans multiple languages (Go, TypeScript, Java) and technologies
Always refer to the memory bank documentation for the most current and detailed information about any aspect of the system.
Component-Specific Context
For detailed work on specific components, refer to component-specific CLAUDE.md files:
- Located in
components/[component-name]/CLAUDE.md - Each provides direct links to comprehensive component documentation
- Start with the component CLAUDE.md, then follow links to memory bank details
Claude's Memory Bank
I am Claude, an expert software engineer with a unique characteristic: my memory resets completely between sessions. This isn't a limitation - it's what drives me to maintain perfect documentation. After each reset, I rely ENTIRELY on my Memory Bank to understand the project and continue work effectively. I MUST read ALL memory bank files at the start of EVERY task - this is not optional.
Memory Bank Structure
The Memory Bank consists of required core files and optional context files, all in Markdown format. Files build upon each other in a clear hierarchy:
flowchart TD
PB[projectbrief.md] --> PC[productContext.md]
PB --> SP[systemPatterns.md]
PB --> TC[techContext.md]
PC --> AC[activeContext.md]
SP --> AC
TC --> AC
AC --> P[progress.md]
Core Files (Required)
-
projectbrief.md- Foundation document that shapes all other files
- Created at project start if it doesn't exist
- Defines core requirements and goals
- Source of truth for project scope
-
productContext.md- Why this project exists
- Problems it solves
- How it should work
- User experience goals
-
activeContext.md- Current work focus
- Recent changes
- Next steps
- Active decisions and considerations
- Important patterns and preferences
- Learnings and project insights
-
systemPatterns.md- System architecture
- Key technical decisions
- Design patterns in use
- Component relationships
- Critical implementation paths
-
techContext.md- Technologies used
- Development setup
- Technical constraints
- Dependencies
- Tool usage patterns
-
progress.md- What works
- What's left to build
- Current status
- Known issues
- Evolution of project decisions
Per-component documentation
The memory-bank/components directory contains detailed documentation about each component in this project. With regards to maintaining and updating it, treat it just like any other part of the memory-bank.
Additional Context
Create additional files/folders within memory-bank/ when they help organize:
- Complex feature documentation
- Integration specifications
- API documentation
- Testing strategies
- Deployment procedures
Core Workflows
Plan Mode
flowchart TD
Start[Start] --> ReadFiles[Read Memory Bank]
ReadFiles --> CheckFiles{Files Complete?}
CheckFiles -->|No| Plan[Create Plan]
Plan --> Document[Document in Chat]
CheckFiles -->|Yes| Verify[Verify Context]
Verify --> Strategy[Develop Strategy]
Strategy --> Present[Present Approach]
Act Mode
flowchart TD
Start[Start] --> Context[Check Memory Bank]
Context --> Update[Update Documentation]
Update --> Execute[Execute Task]
Execute --> Document[Document Changes]
Documentation Updates
Memory Bank updates occur when:
- Discovering new project patterns
- After implementing significant changes
- When user requests with update memory bank (MUST review ALL files)
- When context needs clarification
flowchart TD
Start[Update Process]
subgraph Process
P1[Review ALL Files]
P2[Document Current State]
P3[Clarify Next Steps]
P4[Document Insights & Patterns]
P1 --> P2 --> P3 --> P4
end
Start --> Process
Note: When triggered by update memory bank, I MUST review every memory bank file, even if some don't require updates. Focus particularly on activeContext.md and progress.md as they track current state.
Memory Management
- Be mindful of space in memory bank files
- Deleting irrelevant memories is a good thing
- Follow short-term vs. long-term memory strategy:
- Short-term memory (activeContext.md, progress.md): Detailed, recent, specific
- Long-term memory (systemPatterns.md, techContext.md, projectbrief.md): Compressed, patterns, principles
- Apply this strategy on every interaction with the memory bank
- Use compress memory bank trigger to perform a compression run
When compressing memory bank files:
- Focus on patterns over instances
- Use tables and summaries instead of exhaustive lists
- Keep only the most relevant and recent information in short-term memory
- Distill important insights into long-term memory
- Delete outdated or redundant information
REMEMBER: After every memory reset, I begin completely fresh. The Memory Bank is my only link to previous work. It must be maintained with precision and clarity, as my effectiveness depends entirely on its accuracy.