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197 lines
8.2 KiB
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197 lines
8.2 KiB
Plaintext
---
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title: "Context Management"
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description: "Context is key to getting the most out of Cline"
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---
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> **Quick Reference**
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>
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> - Context = The information Cline knows about your project
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> - Context Window = How much information Cline can hold at once
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> - Use context files to maintain project knowledge
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> - Reset when the context window gets full
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## Understanding Context & Context Windows
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<Frame caption="In a world of infinite context, the context window is what Cline currently has available">
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<img
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src="https://storage.googleapis.com/cline_public_images/docs/assets/image%20(2).png"
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alt="In a world of infinite context, the context window is what Cline currently has available"
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/>
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</Frame>
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Think of working with Cline like collaborating with a thorough, proactive teammate:
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### How Context is Built
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Cline actively builds context in two ways:
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1. **Automatic Context Gathering (i.e. Cline-driven)**
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- Proactively reads related files
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- Explores project structure
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- Analyzes patterns and relationships
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- Maps dependencies and imports
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- Asks clarifying questions
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2. **User-Guided Context**
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- Share specific files
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- Provide documentation
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- Answer Cline's questions
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- Guide focus areas
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- Share design thoughts and requirements
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**Key Point**: Cline isn't passive - it actively seeks to understand your project. You can either let it explore or guide its focus, especially in [Plan Mode](/features/plan-and-act).
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### Context & Context Windows
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Think of context like a whiteboard you and Cline share:
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- **Context** is all the information available:
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- What Cline has discovered
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- What you've shared
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- Your conversation history
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- Project requirements
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- Previous decisions
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- **Context Window** is the size of the whiteboard itself:
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- Measured in tokens (1 token ≈ 3/4 of an English word)
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- Each model has a fixed size:
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- Claude Sonnet 4: 1,000,000 tokens
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- Qwen3 Coder: 256,000 tokens
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- Gemini 2.5 Pro: 1,000,000+ tokens
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- GPT-5: 400,000 tokens
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- When the whiteboard is full, Cline automatically summarizes the conversation to free up space
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**Important**: Having a large context window doesn't mean you should fill it completely. Models start degrading around 400-500K tokens even if they claim higher limits. Just like a cluttered whiteboard, too much information can make it harder to focus on what's important.
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## Understanding the Context Window Progress Bar
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Cline provides a visual way to monitor your context window usage through a progress bar:
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<Frame caption="Visual representation of the context window usage">
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<img
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src="https://storage.googleapis.com/cline_public_images/docs/assets/image%20(1)%20(1).png"
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alt="Context window progress bar"
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/>
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</Frame>
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### Reading the Bar
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- ↑ shows input tokens (what you've sent to the LLM)
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- ↓ shows output tokens (what the LLM has generated)
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- The progress bar visualizes how much of your context window you've used
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- The total shows your model's maximum capacity (e.g., 1M for Claude Sonnet 4)
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### When to Watch the Bar
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- During long coding sessions
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- When working with multiple files
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- Before starting complex tasks
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- When Cline seems to lose context
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**Tip**: With [Auto Compact](/features/auto-compact), Cline can now handle long conversations automatically. When combined with [Focus Chain](/features/focus-chain), you can work on complex projects that span multiple context windows without losing progress.
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## Automatic Context Management
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Cline includes intelligent features to manage context automatically:
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### Default Settings You Should Keep On
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**Focus Chain** - Enabled by default in v3.25. Cline generates a todo list at task start and keeps it in context so the thread doesn't drift. You can edit the markdown to add or reorder steps and Cline will adapt. [Learn more about Focus Chain](/features/focus-chain).
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**Auto Compact** - Always on. As the context window reaches its limit, Cline creates a comprehensive summary, replaces the bloated history, and continues where it left off. Decisions, code changes, and state are preserved. [Learn more about Auto Compact](/features/auto-compact).
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## Advanced Context Tools
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When you need more control over context management:
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### Deep Planning (`/deep-planning`)
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For substantial features, refactors, or integrations. Cline investigates your codebase, asks targeted questions, then writes `implementation_plan.md`. It creates a fresh task with distilled, high-value context. [Learn more about Deep Planning](/features/slash-commands/deep-planning).
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### New Task (`/newtask`)
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At natural transition points, packages only what matters into a fresh task. Clean slate for implementation after research, or crisp handoff between teammates. [Learn more about New Task](/features/slash-commands/new-task).
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### Smol (`/smol`)
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Compress the conversation in place to keep momentum. Ideal during debugging or exploratory work when you don't want to break flow. [Learn more about Smol](/features/slash-commands/smol).
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### Memory Bank + .clinerules
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For non-trivial projects. The Memory Bank captures project knowledge as Markdown in your repo. `.clinerules` are version-controlled instructions that align Cline's behavior with your team. [Learn more about Memory Bank](/prompting/cline-memory-bank) and [Cline Rules](/features/cline-rules).
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## Working with Context Files
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Context files help maintain understanding across sessions. They serve as documentation specifically designed to help AI assistants understand your project.
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#### Approaches to Context Files
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1. **Evergreen Project Context (Memory Bank)**
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- Living documentation that evolves with your project
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- Updated as architecture and patterns emerge
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- Example: The Memory Bank pattern maintains files like `techContext.md` and `systemPatterns.md`
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- Useful for long-running projects and teams
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2. **Task-Specific Context**
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- Created for specific implementation tasks
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- Document requirements, constraints, and decisions
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- Example:
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```markdown
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# auth-system-implementation.md
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## Requirements
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- OAuth2 implementation
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- Support for Google and GitHub
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- Rate limiting on auth endpoints
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## Technical Decisions
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- Using Passport.js for provider integration
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- JWT for session management
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- Redis for rate limiting
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```
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3. **Knowledge Transfer Docs**
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- Switch to plan mode and ask Cline to document everything you've accomplished so far, along with the remaining steps, in a markdown file.
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- Copy the contents of the markdown file.
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- Start a new task using that content as context.
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#### Using Context Files Effectively
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1. **Structure and Format**
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- Use clear, consistent organization
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- Include relevant examples
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- Link related concepts
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- Keep information focused
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2. **Maintenance**
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- Update after significant changes
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- Version control your context files
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- Remove outdated information
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- Document key decisions
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## Practical Tips
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1. **Starting New Projects**
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- Let Cline explore the codebase
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- Answer its questions about structure and patterns
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- Consider setting up basic context files
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- Document key design decisions
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2. **Ongoing Development**
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- Update context files with significant changes
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- Share relevant documentation
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- Use Plan mode for complex discussions
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- Start fresh sessions when needed
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3. **Team Projects**
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- Share common context files (consider using [.clinerules](/features/cline-rules) files in project roots)
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- Document architectural decisions
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- Maintain consistent patterns
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- Keep documentation current
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## Bonus Context Tips
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- You can @ links and have the webpage's context added to Cline (docs, blogs, etc.)
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- Utilize MCP servers to pull in context from your external knowledge bases
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- Screenshots can be used as context for models that support image inputs
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## The Bottom Line
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Cline already does a lot of context work for you - [Focus Chain](/features/focus-chain), [Auto Compact](/features/auto-compact), and the planning flow are designed to keep the thread intact across long horizons. The goal is to help Cline maintain consistent understanding of your project across sessions.
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Remember: The goal is to keep only what matters in view, at every step.
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