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Basic Information

Continue is an open-source developer tool and platform for integrating continuous AI into software development workflows. It enables teams and individual developers to build and run custom agents that operate across IDEs, the terminal, and CI environments. The repository provides ready-made features that let an AI agent work on development tasks collaboratively, a chat interface for questions and code clarification, an edit capability to modify code sections without leaving the current file, and inline autocomplete suggestions while typing. The project publishes quick-start guides for VS Code, JetBrains, and a command-line interface, and it includes documentation, images, and GIFs demonstrating behavior. The stated goal is to help engineers ship faster by embedding AI-driven assistance directly into their existing development tools and pipelines.

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App Details

Features
The README highlights four primary features: Agent to perform development tasks with AI, Chat for asking questions and clarifying code sections, Edit to make targeted code changes in-place, and Autocomplete for inline code suggestions as you type. The repo contains platform integrations and quick-starts for VS Code, JetBrains, and a CLI enabling use in editors and CI systems. Documentation and demonstrative assets such as animated GIFs are included to illustrate workflows. There are badges for license, docs, changelog, and a community Discord, and a CONTRIBUTING guide. The project is released under the Apache 2.0 license.
Use Cases
Continue helps developers by embedding AI assistance directly into the tools they already use so routine and complex development tasks can be accelerated. The Agent feature can collaborate on coding tasks, the Chat feature provides a conversational way to ask about code and get clarifications, Edit enables localized code changes without context switching, and Autocomplete offers inline suggestions to speed coding. Cross-editor and CLI/CI integration means teams can apply the same AI-driven workflows in editors, terminal sessions, and continuous integration pipelines. Documentation, quick-starts, and a contributor community lower adoption friction so teams can experiment and incorporate continuous AI into their shipping process.

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