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What is Continue?
Continue.dev is an open-source platform that offers customizable AI code assistants integrated into popular IDEs like VS Code and JetBrains, enabling developers to create, share, and use AI-driven coding tools. Founded in 2023 by Continue Dev, Inc., it aims to amplify developer productivity by providing context-aware code suggestions, chat-based assistance, and automated code editing without vendor lock-in. The platform supports a wide range of large language models (LLMs), including local and cloud-based options, ensuring flexibility and privacy for users. It addresses challenges like code context management and data security, allowing developers to tailor AI tools to their specific workflows. Continue.dev also collects development data locally to improve AI performance, fostering a community-driven approach to software development. Its modular architecture supports enterprises and individual developers alike, promoting transparency and control over AI integration.
Continue's Core Features
Agent mode enables autonomous codebase modifications, streamlining complex coding tasks for developers.
Chat feature allows developers to interact with LLMs directly in the IDE, providing quick answers without leaving the workspace.
Edit mode offers inline code modifications, simplifying updates without switching files.
Autocomplete provides real-time code suggestions as developers type, enhancing coding speed and accuracy.
Context engineering lets users reference GitHub issues, files, or web searches directly in prompts, improving AI response relevance.
Customizable rules allow developers to define how AI assistants behave, ensuring alignment with project needs.
Support for any LLM, including local models, ensures privacy and flexibility for sensitive or offline environments.
Open-source IDE extensions for VS Code and JetBrains enable seamless integration into existing workflows.
Centralized configuration for enterprises ensures secure management of AI permissions and proprietary data.
Development data collection saves usage data locally, enabling teams to fine-tune AI models for better performance.
Frequently Asked Questions
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