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* add cdn image links * changeset --------- Co-authored-by: Elephant Lumps <[email protected]>
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.changeset/tame-mirrors-destroy.md

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---
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"claude-dev": minor
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---
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Add image links to docs

docs/custom-model-configs/aws-bedrock-with-profile-authentication.mdx

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<Frame>
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<img
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src="/assets/robot_panel_dark.png"
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src="https://storage.googleapis.com/cline_public_images/docs/assets/cline-aws-setup-markup%20(1).png"
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alt="AWS Bedrock configuration in Cline settings showing profile authentication setup"
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/>
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</Frame>

docs/custom-model-configs/gcp-vertex-ai.mdx

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- Search for **Cline** and install the extension
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<Frame>
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<img src="/assets/robot_panel_dark.png" alt="Cline extension in VS Code" />
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<img
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src="https://storage.googleapis.com/cline_public_images/docs/assets/cline-extension-arrow.png"
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alt="Cline extension in VS Code"
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/>
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#### 3.2 Configure Cline Settings

docs/enterprise-solutions/cloud-provider-integration.mdx

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For the purpose of this document, we assume your organization will use cloud-based frontier models. Cloud inference providers offer cutting-edge capabilities and the flexibility to select models which best suit your needs.
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Certain scenarios may warrant using local models, including handling highly sensitive data, applications requiring consistent low-latency responses, or compliance with strict data sovereignty requirements. If your team needs to utilize local models, see [Running Local Models ](/running-local-models/read-me-first.mdx)with Cline.
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Certain scenarios may warrant using local models, including handling highly sensitive data, applications requiring consistent low-latency responses, or compliance with strict data sovereignty requirements. If your team needs to utilize local models, see [Running Local Models ](/running-models-locally/read-me-first.mdx)with Cline.
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## AWS Bedrock Setup Guides
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#### [IAM Security Best Practices](https://docs.aws.amazon.com/IAM/latest/UserGuide/best-practices.html) (For administrators)
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#### [AWS Bedrock setup for Legacy IAM (AWS Credentials)](/custom-model-configs/aws-bedrock.mdx)
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#### [AWS Bedrock setup for Legacy IAM (AWS Credentials)](/custom-model-configs/aws-bedrock-with-credentials-authentication.mdx)
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#### [AWS Bedrock setup for SSO token (AWS Profile)](/custom-model-configs/aws-bedrock-w-profile-authentication.mdx)
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#### [AWS Bedrock setup for SSO token (AWS Profile)](/custom-model-configs/aws-bedrock-with-profile-authentication.mdx)
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#### VPC Endpoint Setup
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2. Follow the directions for [creating a VPC endpoint](https://docs.aws.amazon.com/vpc/latest/privatelink/create-interface-endpoint.html#create-interface-endpoint-aws) in the AWS console. The image below pertains to steps 4 and 5 of the AWS guide linked above.
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<img src="/assets/robot_panel_dark.png" alt="VPC Console" />
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<img src="https://storage.googleapis.com/cline_public_images/docs/assets/vpc-console.png" alt="VPC Console" />
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</Frame>
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3. Note the IP address of your VPC endpoint, open Cline's settings menu, and select `AWS Bedrock`from the API Provider dropdown.
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4. Click the `Use Custom VPC endpoint`checkbox and enter the IP address of your VPC endpoint
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<Frame>
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<img src="/assets/robot_panel_dark.png" alt="VPC Settings Menu" />
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<img src="https://storage.googleapis.com/cline_public_images/docs/assets/vpc-settings-menu.png" alt="VPC Settings Menu" />
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</Frame>

docs/enterprise-solutions/security-concerns.mdx

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Cline operates exclusively as a client-side VSCode extension with zero server-side components. This fundamental design choice ensures that your code and data remain within your secure environment at all times. Unlike traditional AI assistants that send data to external servers for processing, Cline connects directly to your chosen cloud provider's AI endpoints, keeping all sensitive information within your infrastructure boundaries.
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<img src="/assets/robot_panel_dark.png" alt="Cline's relationship to local and remote assets" />
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<img
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src="https://storage.googleapis.com/cline_public_images/docs/assets/cline-arch.png"
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alt="Cline's relationship to local and remote assets"
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/>
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### Data Privacy Commitment

docs/exploring-clines-tools/checkpoints.mdx

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2. Click the "Restore" button to open restore options
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<img src="/assets/robot_panel_dark.png" alt="Checkpoint comparison and restore options" />
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<img
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src="https://storage.googleapis.com/cline_public_images/docs/assets/image%20(13).png"
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alt="Checkpoint comparison and restore options"
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/>
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#### Rolling Back
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- Ideal for exploring different design patterns or architectural approaches
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<Frame caption="In this case, I didn't like the changes Cline made to my robot dog-walking website (still working on the robots) and I wanted to revert both the codebase and the task to before any changes were made so I could start fresh.">
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<img src="/assets/robot_panel_dark.png" alt="Checkpoint restore demo" />
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<img src="https://storage.googleapis.com/cline_public_images/docs/assets/checkpointsDemo.gif" alt="Checkpoint restore demo" />
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### ✨ Best Practices
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- Shift + Enter: Insert new line / line break
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<img src="/assets/robot_panel_dark.png" alt="Message editing interface" />
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<img
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src="https://storage.googleapis.com/cline_public_images/docs/assets/message-editing.png"
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alt="Message editing interface"
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/>
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docs/exploring-clines-tools/plan-and-act-modes-a-guide-to-effective-ai-development.mdx

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Plan & Act modes represent Cline's approach to structured AI development, emphasizing thoughtful planning before implementation. This dual-mode system helps developers create more maintainable, accurate code while reducing iteration time.
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<img src="/assets/robot_panel_dark.png" alt="Use Plan to gather context before using Act to implement the plan" />
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<img
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src="https://storage.googleapis.com/cline_public_images/docs/assets/planningThenActing%20(1).gif"
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alt="Use Plan to gather context before using Act to implement the plan"
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/>
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### Understanding the Modes
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- Can execute changes to your codebase
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<img src="/assets/robot_panel_dark.png" alt="Act mode capabilities" />
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<img src="https://storage.googleapis.com/cline_public_images/docs/assets/image%20(5).png" alt="Act mode capabilities" />
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### Workflow Guide
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<img src="https://storage.googleapis.com/cline_public_images/docs/assets/image%20(5)%20(1).png" alt="Plan mode workflow" />
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- Share your requirements
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<img src="/assets/robot_panel_dark.png" alt="Planning phase" />
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<img
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alt="Planning phase"
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/>
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#### 2. Switch to Act Mode
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<img src="/assets/robot_panel_dark.png" alt="Switching to Act mode" />
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<img src="https://storage.googleapis.com/cline_public_images/docs/assets/switching-to-act.gif" alt="Switching to Act mode" />
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<img src="/assets/robot_panel_dark.png" alt="Implementation best practices" />
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<img
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### Power User Tips
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<img src="/assets/robot_panel_dark.png" alt="Mode usage patterns" />
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<img src="https://storage.googleapis.com/cline_public_images/docs/assets/image%20(6).png" alt="Mode usage patterns" />
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### Contributing

docs/getting-started/installing-cline.mdx

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4. **Search for 'Cline':** In the Extensions search bar, type `Cline`.
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<Frame caption="VS Code marketplace with Cline extension ready to install">
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<img src="/assets/robot_panel_dark.png" alt="VS Code marketplace showing Cline extension" />
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<img
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src="https://storage.googleapis.com/cline_public_images/docs/assets/image%20(20).png"
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alt="VS Code marketplace showing Cline extension"
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1. **Install the Extension:** Click the "Install" button next to the Cline extension.

docs/getting-started/model-selection-guide.mdx

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<Frame caption="Visual representation of the context window usage in Cline">
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<img src="/assets/robot_panel_light.png" alt="Context window progress bar example" />
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<img
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src="https://storage.googleapis.com/cline_public_images/docs/assets/image%20(11).png"
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This visibility helps you work more effectively with Cline by letting you know when you might need to start fresh or break tasks into smaller chunks.

docs/getting-started/understanding-context-management.mdx

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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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<Frame caption="Visual representation of the context window usage">
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### Reading the Bar

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