Amazon Q Developer
Generative AI coding assistant for building, operating, and transforming software
Continue
AI coding assistant with custom agents for IDE and terminal
Continue brings AI-powered agents, chat, autocomplete, and inline editing to VS Code, JetBrains IDEs, and the command line for faster development workflows.
Overview
Ship Faster with AI-Powered Development
Continue is an AI coding assistant that integrates directly into your development environment, offering intelligent agents, conversational chat, inline editing, and autocomplete across VS Code, JetBrains IDEs, and the command line. Built for developers who want to accelerate their workflow without switching contexts, Continue enables you to build and run custom agents that work alongside you throughout the entire development lifecycle.
Flexible AI Integration
Whether you're asking questions about unfamiliar codebases, modifying code sections in-place, or receiving real-time suggestions as you type, Continue adapts to your workflow. The platform supports multiple LLM providers including Claude and Qwen, giving you control over which models power your development experience. Custom agents can be configured to handle specific development tasks, from code review to refactoring, all within your existing tools.
From IDE to CI/CD
Continue extends beyond the editor, offering CLI integration and the ability to incorporate AI assistance into your continuous integration pipelines. This unified approach means your AI tooling scales from local development through production deployment, maintaining consistency across your entire software delivery process.
Highlights
Custom AI agents that execute development tasks across IDE, terminal, and CI/CD
Inline code editing without leaving your current file or breaking flow
Multi-provider LLM support including Claude, Qwen, and other models
Native extensions for VS Code, JetBrains IDEs, and command-line interfaces
Pros
- Works across multiple IDEs and the terminal for consistent AI assistance
- Customizable agents allow tailoring AI behavior to specific workflows
- Apache 2.0 license provides flexibility for commercial and personal use
- Active community with 29K+ GitHub stars and regular updates
Considerations
- Requires configuration to connect preferred LLM providers
- Custom agent development may require learning platform-specific patterns
- Performance depends on chosen LLM provider and network latency
- Feature parity may vary across different IDE integrations
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Fit guide
Great for
- Development teams wanting AI assistance without vendor lock-in
- Engineers working across multiple IDEs who need consistent tooling
- Organizations building custom AI workflows for specific coding tasks
- Developers seeking autocomplete and chat in a single integrated solution
Not ideal when
- Teams requiring zero-configuration, fully managed AI coding solutions
- Users uncomfortable managing LLM API keys and provider relationships
- Organizations with strict air-gapped environments without LLM access
- Developers seeking AI assistance in non-supported editors or IDEs
How teams use it
Onboarding to Legacy Codebases
New team members chat with AI to understand unfamiliar code sections, accelerating ramp-up time without constant senior developer interruptions.
Inline Refactoring Workflows
Developers select code blocks and request modifications in-place, maintaining context and flow while improving code quality incrementally.
CI/CD Code Review Automation
Custom agents run in continuous integration pipelines to flag potential issues, suggest improvements, and maintain coding standards automatically.
Multi-Language Development
Engineers working across Python, TypeScript, Rust, and other languages receive consistent autocomplete and assistance regardless of stack.
Tech snapshot
TypeScript83%
JavaScript8%
Kotlin4%
Python2%
Rust1%
Tree-sitter Query1%
Frequently asked questions
Which IDEs and editors does Continue support?
Continue provides native extensions for Visual Studio Code, JetBrains IDEs (IntelliJ, PyCharm, and others), and a command-line interface for terminal-based workflows.
Do I need to use a specific LLM provider?
No. Continue supports multiple LLM providers including Claude, Qwen, and others, allowing you to choose models based on your requirements, budget, and data policies.
Can I build custom agents for my team's specific workflows?
Yes. Continue is designed to support custom agent development, enabling you to create AI assistants tailored to your organization's coding standards and processes.
Is Continue suitable for enterprise environments?
Continue's Apache 2.0 license and multi-provider architecture make it adaptable for enterprise use, though you'll need to manage LLM provider relationships and any required compliance configurations.
How does Continue integrate with CI/CD pipelines?
Continue offers CLI support that allows you to incorporate AI agents into continuous integration workflows, enabling automated code analysis and suggestions during the build process.
Project at a glance
Active- Stars
- 30,990
- Watchers
- 30,990
- Forks
- 4,070
LicenseApache-2.0
Repo age2 years old
Last commityesterday
Primary languageTypeScript
Last synced yesterday