9.4 KiB
Context Management Strategies
Detailed workflows and strategies for managing context efficiently in Claude Code.
Understanding Context Usage
Context window size:
- Standard: 200K tokens (~150K words)
- Extended (API): 1M tokens (~750K words)
What consumes context:
- Conversation history (messages back and forth)
- File contents loaded into context
- Tool call results (bash output, test results, etc.)
- CLAUDE.md configuration
- Extended thinking blocks
Context awareness: Claude Sonnet 4.5 tracks remaining context and reports it with each tool call.
Core Commands
/clear - Reset Context
When to use:
- Between major features or tasks
- After completing a self-contained piece of work
- When switching between different parts of the codebase
- If you notice Claude getting distracted or referencing old context
Example workflow:
1. Complete feature A
2. Run tests and commit
3. /clear
4. Start feature B with fresh context
/compact - Compress Context
When to use:
- Before starting complex multi-step work
- When approaching context limits (~80% full)
- To preserve key decisions while clearing clutter
What it does: Summarizes conversation history while retaining key information.
Example workflow:
1. Long research and planning session
2. /compact "Summarize architecture decisions and open TODOs"
3. Continue with implementation
/continue - Resume Session
When to use:
- Returning to previous work
- After a break
- To pick up where you left off
Combines well with:
claude --continue # Resume last session in current project
Strategy 1: Task Isolation
Goal: Keep each task in its own context bubble.
Workflow:
1. Start task → /clear (if needed)
2. Use subagents for research/analysis
3. Main context focuses on implementation
4. Complete and test
5. /clear before next task
When to use:
- Multiple independent features
- Bug fixes that don't require historical context
- Refactoring isolated modules
Benefits:
- Each task starts with clean slate
- No cross-contamination between tasks
- More predictable context usage
Strategy 2: Progressive Context Management
Goal: Build up context deliberately, clearing non-essential information.
Workflow:
1. Research phase
- Subagents search and analyze
- Main context reviews summaries
2. Planning phase
- "think hard" to create plan
- Save plan to document/issue
3. /compact "Keep architecture decisions and plan"
4. Implementation phase
- Reference plan document
- Focus on current file/module
5. Testing phase
- Subagent runs tests
- Main context addresses failures
6. /clear before next feature
When to use:
- Large features requiring multiple steps
- Complex refactoring
- Projects with extensive research phase
Benefits:
- Intentional context building
- Clear phase transitions
- Preserved key decisions
🚨 CRITICAL GUIDELINES
Windows File Path Requirements
MANDATORY: Always Use Backslashes on Windows for File Paths
When using Edit or Write tools on Windows, you MUST use backslashes (\) in file paths, NOT forward slashes (/).
Examples:
- ❌ WRONG:
D:/repos/project/file.tsx - ✅ CORRECT:
D:\repos\project\file.tsx
This applies to:
- Edit tool file_path parameter
- Write tool file_path parameter
- All file operations on Windows systems
Documentation Guidelines
NEVER create new documentation files unless explicitly requested by the user.
- Priority: Update existing README.md files rather than creating new documentation
- Repository cleanliness: Keep repository root clean - only README.md unless user requests otherwise
- Style: Documentation should be concise, direct, and professional - avoid AI-generated tone
- User preference: Only create additional .md files when user specifically asks for documentation
Strategy 3: Parallel Workstreams
Goal: Work on multiple aspects simultaneously using subagents.
Workflow:
1. Main context: High-level orchestration
2. Subagent A: Frontend work
3. Subagent B: Backend work
4. Subagent C: Test execution
5. Main context: Integration and coordination
When to use:
- Full-stack features
- Multi-component changes
- When different aspects are independent
Benefits:
- Efficient use of subagent isolation
- Parallel progress
- Main context stays focused on coordination
Strategy 4: Test-Driven Context Management
Goal: Keep context focused on current test/implementation cycle.
Workflow:
1. Write test in main context
2. /agent test-runner "run new test"
3. Implement feature to pass test
4. /agent test-runner "run test suite"
5. If fail → fix in main context
6. If pass → commit and /clear
When to use:
- TDD workflows
- Bug fixes with test coverage
- API endpoint development
Benefits:
- Tight feedback loop
- Context stays focused on current test
- Test output doesn't clutter main context
Strategy 5: Documentation-First Development
Goal: Use CLAUDE.md as persistent memory across sessions.
Setup:
# CLAUDE.md
## Current Focus
Sprint goal: User authentication system
## Recent Decisions
- Using JWT with refresh tokens
- PostgreSQL for user storage
- Redis for session management
## Next Tasks
- [ ] Implement token refresh endpoint
- [ ] Add rate limiting
- [ ] Write integration tests
## Architecture Notes
[Key decisions that inform all work]
Workflow:
1. CLAUDE.md provides persistent context
2. Each session references current focus
3. Update CLAUDE.md with new decisions
4. /clear frequently - CLAUDE.md persists
When to use:
- Multi-day projects
- Team collaboration (CLAUDE.md in git)
- Complex projects needing persistent memory
Benefits:
- Survives /clear commands
- Shared team knowledge
- Consistent across sessions
Scenario-Based Strategies
Scenario: Large Refactoring
Challenge: Need broad codebase understanding but context fills quickly.
Strategy:
1. Subagent: "Map all files using old pattern"
2. Review map, create refactoring plan
3. Save plan to REFACTOR.md
4. /clear
5. For each file:
a. Load file
b. Refactor based on plan
c. Test
d. /clear before next file
Scenario: Bug Investigation
Challenge: Unknown cause, need to search widely but track findings.
Strategy:
1. Create BUG_NOTES.md to track findings
2. Subagent: "Search logs for error X"
3. Document findings in BUG_NOTES.md
4. Subagent: "Analyze code paths that could cause X"
5. Document in BUG_NOTES.md
6. /compact "Keep bug theory and evidence"
7. Implement fix
8. /agent test-runner "verify fix"
Scenario: New Feature with Unknown Patterns
Challenge: Need to research existing patterns without cluttering context.
Strategy:
1. Subagent: "Find similar features in codebase"
2. Subagent: "Extract common patterns from those features"
3. Main context reviews patterns
4. "think about best approach for new feature"
5. Create implementation plan
6. /clear
7. Implement based on plan
8. Reference plan doc if needed
Scenario: Multi-File Feature
Challenge: Changes span many files, hard to keep all in context.
Strategy:
1. Create FEATURE.md with:
- Overall design
- File change checklist
- Cross-file dependencies
2. For each file:
a. Load just that file
b. Reference FEATURE.md for context
c. Make changes
d. Test
e. /compact if context getting full
3. Final integration test
4. /clear and move to next feature
Advanced Techniques
Technique: Context Checkpoints
Save key state to files before clearing:
1. Long planning session
2. "Create PLAN.md with our architecture decisions"
3. /clear
4. Reference PLAN.md during implementation
Technique: Layered Context Loading
Load information progressively as needed:
1. Start with just current file
2. If need more context: "show me the caller"
3. If need more: "show me the config"
4. Don't load everything upfront
Technique: Subagent Summarization
Use subagents to create digestible summaries:
Subagent: "Analyze all 50 test files and create a summary:
- Total coverage percentage
- Files with <50% coverage
- Most complex tests"
Then work from the summary, not the raw test files.
Technique: Incremental /compact
Compress context multiple times in long sessions:
1. Research phase → /compact "Keep research findings"
2. Planning phase → /compact "Keep findings and plan"
3. Implementation → /compact "Keep plan and decisions"
Monitoring Context Health
Signs context is getting cluttered:
- Claude references old, irrelevant information
- Responses become less focused
- Performance seems to degrade
- You're >80% through context budget
Remedies:
/compactfor quick compression/clearfor fresh start- Move key info to files before clearing
- Use subagents more aggressively
Best Practices Summary
- Use /clear liberally between tasks
- Front-load subagent usage for research
- Document decisions in CLAUDE.md or files
- Load files progressively as needed
- Test in subagents to keep output isolated
- /compact before complex multi-step work
- Think first to plan before implementing
- Reference plans instead of keeping full context
- Batch similar operations in single subagent
- Monitor context usage and respond proactively