Continue

Continue is a powerful, open-source platform designed to create and utilize custom AI code assistants directly within your development environment. Built on the philosophy of amplifying developers rather than automating them, Continue integrates seamlessly into popular IDEs like VS Code and JetBrains. It empowers developers by providing a highly customizable and flexible AI partner that understands your unique codebase, documentation, and development practices. Unlike monolithic, one-size-fits-all solutions, Continue gives you complete control over your AI experience, from the choice of Large Language Models (LLMs) to the specific context sources it references, ensuring maximum relevance and privacy.

The core mission of Continue is to accelerate the development lifecycle by making AI an organic part of the coding process. It bridges the gap between your code and the power of LLMs, allowing you to have intelligent conversations, generate code with precision, and refactor complex logic using simple natural language commands. Whether you're an individual developer looking to boost productivity with local models or an enterprise team needing a secure, centrally-governed AI solution, Continue provides the tools and infrastructure to build the perfect AI code assistant for your needs.

How to use Continue

Getting started with Continue is a straightforward process designed for quick integration into your existing workflow:

1. Installation: Begin by downloading and installing the Continue extension from the marketplace for your preferred IDE, either Visual Studio Code or any JetBrains IDE (like IntelliJ IDEA, PyCharm, etc.).
2. Configuration: Once installed, configure Continue to connect to your chosen LLM. You have a wide range of options, including local models via Ollama, cloud-based services like OpenAI, Anthropic, and Mistral, or even on-premise models through Azure OpenAI Service or LM Studio.
3. Code Autocompletion: As you type, Continue will automatically suggest single lines or entire blocks of code. Simply press the 'Tab' key to accept the suggestion and speed up your coding.
4. Context-Aware Chat: Open the Continue chat panel to ask questions. You can provide specific context by typing '@' and selecting files, functions, terminal output, or even external resources like GitLab issues and Confluence pages. This allows you to ask detailed questions like "How does this function work?" or "What are the potential edge cases for this file?".
5. In-line Editing and Refactoring: Highlight a section of your code, press a keyboard shortcut (e.g., Cmd+L or Ctrl+L), and type a prompt describing the change you want to make. For example, you could ask it to "refactor this into smaller functions," "add error handling," or "convert this to TypeScript."
6. Customization (Advanced): For more tailored assistance, you can create your own custom assistants using Continue's modular "blocks" system. Define custom prompts, rules, and connect new data sources (Docs blocks, Data blocks) to create an assistant that is an expert in your specific tech stack and internal libraries.

Core Features of Continue

• Model Agnostic: Freedom to choose the best LLM for the job. Connect to any local, on-premise, or cloud-based model from providers like OpenAI, Anthropic, Mistral, and more.
• Intelligent Autocompletion: Context-aware code completion that suggests single lines or entire functions in any programming language, significantly reducing boilerplate and typing.
• Codebase Chat: A powerful chat interface that can reference your entire codebase, specific files, documentation, and other context sources to provide accurate and relevant answers.
• Natural Language Editing: Select any code snippet and use plain English commands to edit, refactor, debug, or document it without leaving your editor.
• Open-Source and Extensible: The core platform is open-source, offering full transparency and the ability for the community to contribute. Its modular architecture allows for extensive customization.
• Enterprise-Grade Governance: For teams, Continue offers centralized configuration, allowing administrators to govern usage, manage credentials, and set permissions for all users.
• Data Privacy and Security: Keep your proprietary code secure by running Continue with local or on-premise LLMs, ensuring no sensitive data ever leaves your environment.
• Deep IDE Integration: Works as a native extension in both VS Code and the JetBrains family of IDEs, providing a smooth and integrated user experience.

Use Cases for Continue

Continue is versatile and can be applied in various scenarios to enhance developer productivity and code quality:

• Rapid Prototyping: Quickly scaffold new features or entire applications by describing the required logic and letting Continue generate the initial code structure.
• Onboarding New Developers: New team members can use the chat feature to understand complex parts of the codebase, asking questions about architecture and functionality to get up to speed faster.
• Legacy Code Modernization: Tackle daunting refactoring tasks by instructing Continue to modernize old code, such as converting class-based React components to functional components with hooks or adding types to a JavaScript codebase.
• Efficient Debugging: When faced with a bug, you can paste the error message and relevant code into the chat to get suggestions on the cause and potential fixes.
• Writing Documentation and Tests: Highlight a function or class and ask Continue to "write docstrings for this" or "generate unit tests covering these edge cases."
• Domain-Specific Assistance: Enterprises can build custom assistants trained on their internal APIs, libraries, and documentation, turning Continue into an in-house expert that helps developers adhere to best practices.

Advantages of Continue

Continue stands out from other AI coding tools due to its focus on customization, control, and developer empowerment:

• Unmatched Flexibility: By being model-agnostic and highly extensible, Continue adapts to your needs, not the other way around. You are not locked into a single AI ecosystem.
• Enhanced Data Control: The ability to use local and on-premise models is a critical advantage for organizations with strict data privacy and security requirements.
• Developer-Centric Philosophy: The tool is designed to be a partner that amplifies a developer's skills, handling tedious tasks so they can focus on complex problem-solving and creative work.
• Transparent and Trustworthy: As an open-source project, its inner workings are available for anyone to inspect, fostering trust and enabling a vibrant community of contributors.
• Seamless Workflow Integration: By living inside the IDE and connecting to existing tools like GitLab and Confluence, Continue reduces context-switching and keeps developers in their flow state.

Pricing and Plans

Continue operates on a freemium model. The core open-source version is available for free and is highly capable for individual developers. It can be downloaded as an extension for VS Code and JetBrains IDEs. For businesses and teams requiring advanced control, security, and management features, Continue offers an Enterprise plan. This plan includes features such as centralized governance for usage and credentials, flexible configurations with allow lists, support for on-premise LLMs, and metrics for tracking usage and inference. For detailed pricing on the Enterprise plan, it is recommended to contact the Continue sales team directly through their website.