Cline – Top Performer on OpenRouter

Introducing Cline, an intelligent programming assistant leveraging both your Command LIne and New Editor capabilities.

Leveraging the advanced reasoning of Claude 3.7 Sonnet for agentic software development, Cline excels at multi-step coding assignments. With integrated utilities for file manipulation, extensive project exploration, web interaction, and controlled terminal command execution (subject to user consent), its assistance extends far beyond simple code suggestion or technical query response. Furthermore, Cline can dynamically augment its own utility set by implementing new functionalities via the Model Context Protocol (MCP). Unlike typical autonomous scripts confined to isolated environments, this extension mandates a human-in-the-loop graphical interface for validating every proposed file modification and terminal instruction, thus ensuring a secure and transparent adoption of agentic AI potential.

1. Input your development objective, optionally including visual assets (mockups, screenshots) to guide the creation of functional applications or bug remediation.
2. Cline initiates analysis by traversing your project's directory structure, parsing Abstract Syntax Trees (ASTs), performing targeted regex filtering, and judiciously reading relevant source files to establish project context. By carefully managing the data injected into its working memory, Cline can deliver substantial aid on massive codebases without exceeding token capacity.
3. Once sufficient context is gathered, Cline can proceed to:
   • Generate and modify source code files, simultaneously observing linter and compiler feedback to automatically remedy deficiencies like missing dependencies or syntax errors.
   • Issue commands directly into your active terminal instance and dynamically interpret the resulting output, enabling adaptive actions such as responding to development server failures post-edit.
   • For web-centric assignments, Cline can initiate a headless browser session, simulate user actions (clicks, text entry, scrolling), and capture visual state (screenshots) and runtime logs, facilitating the resolution of visual defects and operational errors.
4. Upon successful task completion, Cline presents the final artifact, often including a command like open -a "Google Chrome" index.html, executable via a single interaction.

[!TIP] Access the command palette (CMD/CTRL + Shift + P) and invoke "Cline: Open In New Tab" to dock the extension interface alongside your file explorer, enhancing visibility into workspace alterations.

---

Model and API Flexibility

Cline seamlessly integrates with numerous API backends, including OpenRouter, Anthropic, OpenAI, Google Gemini, AWS Bedrock, Azure, and GCP Vertex. It is also configurable for any OpenAI-compatible endpoint or local models via LM Studio/Ollama. When configured with OpenRouter, the extension dynamically refreshes its supported model list, granting immediate access to the newest releases.

The extension meticulously tracks total token consumption and associated API expenditure for both the complete task lifecycle and individual service calls, maintaining transparency over operational costs.

Terminal Command Execution

Utilizing recent enhancements to VSCode's Terminal Shell Integration (v1.93), Cline can dispatch commands directly into your environment and capture execution feedback. This capability enables a broad spectrum of operations, from dependency installation and build script running to application deployment and automated testing, all while dynamically adapting to your specific toolchain.

For protracted operations like continuously running development servers, the "Proceed While Running" control permits Cline to advance on the task while the process remains active asynchronously. Cline receives real-time feedback on terminal activity, allowing proactive responses to emerging issues, such as compiler errors triggered by recent code modifications.

File System Manipulation

Cline executes file creation and modification requests directly within your IDE, presenting all proposed alterations in a comprehensive diff view. Users retain the option to manually adjust or completely discard Cline's suggestions within this view, or refine the output through conversational feedback until consensus is reached. Furthermore, Cline actively monitors compilation and linting outputs, autonomously correcting issues like misplaced import statements or syntactic errors as they appear.

Every revision enacted by Cline is logged within the file's native Timeline feature, ensuring a transparent audit trail for all modifications and simple rollback capabilities.

Web Browser Interaction

By utilizing the advanced Computer Use feature present in Claude 3.5 Sonnet, Cline can instigate a browser, interact with DOM elements (clicking, typing), perform scrolling actions, and capture visual status (screenshots) alongside console diagnostics at each stage. This unlocks capabilities for immersive debugging, comprehensive end-to-end validation, and general web automation. This autonomy eliminates the need for manual intervention like copying error logs.

Initiate a request like "test the application," and observe Cline executing commands such as npm run dev, launching your local server in a controlled browser instance, and systematically executing validation routines. Visual demonstration available here.

Tool Augmentation: "add a tool that..."

Through adherence to the Model Context Protocol, Cline possesses the ability to expand its functional repertoire via custom utilities. While utilizing existing community-developed servers is possible, Cline can autonomously construct and integrate tools specifically matched to your unique operational requirements. A simple instruction like "add a tool" prompts Cline to manage the entire lifecycle, from bootstrapping a new MCP server instance to its deployment within the extension. These newly created utilities immediately become accessible components of Cline's operational toolkit for subsequent tasks.

• Prompt example: "add a tool that fetches Jira tickets": Facilitates the retrieval of acceptance criteria and assigns tasks to Cline.
• Prompt example: "add a tool that manages AWS EC2s": Enables monitoring of server metrics and automated scaling adjustments.
• Prompt example: "add a tool that pulls the latest PagerDuty incidents": Allows fetching incident details for immediate diagnostic action by Cline.

Context Injection Mechanisms

@url: Supply a web link; the extension fetches the content and converts it into markdown format, providing Cline with current documentation references.

@problems: Inject current workspace errors and warnings displayed in the 'Problems' panel to prompt error resolution.

@file: Directly incorporate the content of a specific file, saving API budget that would otherwise be spent on reading files (supports type-ahead file searching).

@folder: Add all files within a designated directory simultaneously to significantly accelerate context loading.

Checkpoints: Comparison and State Reversion

Throughout any given task, the extension periodically captures the state of your working environment. A 'Compare' utility allows visualization of differences between the current state and any saved snapshot, while a 'Restore' button enables reverting to that specific checkpoint.

For instance, when iterating on local web server configurations, you can use 'Restore Workspace Only' to rapidly test alternative setups, then select 'Restore Task and Workspace' to resume development from the preferred working configuration. This facilitates risk-free experimentation without data loss.

Collaboration

To contribute to this codebase, review the Contributing Guide for foundational knowledge. Engage with fellow developers in the #contributors channel on our Discord server. Opportunities for full-time roles are listed on our careers portal!

Local Development Instructions

1. Fetch the repository _(Requires [git-lfs](https://git-lfs.com/))_: bash git clone https://github.com/cline/cline.git 2. Initialize the project in VSCode: bash code cline 3. Install requisite packages for both the extension logic and the webview interface: bash npm run install:all 4. Initiate debugging by pressing `F5` (or navigating to `Run`->`Start Debugging`) to spawn a new VSCode instance featuring the loaded extension. (Note: Installation of the [esbuild problem matchers extension](https://marketplace.visualstudio.com/items?itemName=connor4312.esbuild-problem-matchers) may be necessary to avoid build errors.)

Submitting a Pull Request

1. Before submitting, generate a formal changeset record: bash npm run changeset You will be prompted to specify: - Change classification (major, minor, patch) - `major` → Introduces breaking modifications (e.g., 1.0.0 to 2.0.0) - `minor` → Incorporates new features (e.g., 1.0.0 to 1.1.0) - `patch` → Rectifies defects (e.g., 1.0.0 to 1.0.1) - A concise description detailing the modifications. 2. Commit both your code changes and the newly generated `.changeset` file. 3. Push your branch and open a Pull Request on GitHub. Our Continuous Integration pipeline will: - Execute all tests and validation checks. - Changesetbot will post a comment outlining the resultant versioning implications. - Upon successful merge to the main branch, changesetbot will create a dedicated PR for version publication. - Merging the Version Packages PR finalizes the release process.

Copyright and Licensing

Apache 2.0 License © 2025 Cline Bot Inc.

WIKIPEDIA CONTEXT: Cloud computing is defined by ISO as "a paradigm for enabling network access to a scalable and elastic pool of shareable physical or virtual resources with self-service provisioning and administration on-demand," often summarized as "the cloud."

== Defining Attributes == In 2011, the U.S. National Institute of Standards and Technology (NIST) established five core criteria for cloud architectures. The precise definitions provided by NIST are:

On-demand self-service: "A consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with each service provider." Broad network access: "Capabilities are available over the network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, tablets, laptops, and workstations)." Resource pooling: " The provider's computing resources are pooled to serve multiple consumers using a multi-tenant model, with different physical and virtual resources dynamically assigned and reassigned according to consumer demand." Rapid elasticity: "Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly outward and inward commensurate with demand. To the consumer, the capabilities available for provisioning often appear unlimited and can be appropriated in any quantity at any time." Measured service: "Cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service (e.g., storage, processing, bandwidth, and active user accounts). Resource usage can be monitored, controlled, and reported, providing transparency for both the provider and consumer of the utilized service. By 2023, the International Organization for Standardization (ISO) had issued refinements to this foundational list.

== Historical Precursors ==

The conceptual genesis of cloud computing dates back to the 1960s, rooted in the popularization of time-sharing through remote job entry (RJE). The predominant operational model during this period involved centralized "data centers" where users submitted batch jobs to human operators managing mainframes. This era was characterized by intensive exploration into making substantial computational capacity accessible to wider user bases via time-sharing mechanisms, focusing on optimizing underlying infrastructure, platforms, and applications for enhanced end-user productivity. The graphical metaphor of the "cloud" for denoting virtualized services was first documented in 1994 by General Magic, where it symbolized the abstract space accessible to mobile agents within their Telescript framework. This visual shorthand is attributed to David Hoffman, a communications staff member at General Magic, who borrowed from established conventions in telecommunications and networking. The term "cloud computing" gained broader visibility in 1996 when Compaq Computer Corporation drafted an internal business strategy forecasting future internet-centric computing models, reflecting the company's aspirations for ubiquitous service delivery.