Continue
An open-source AI coding assistant designed to bridge your favorite LLMs with your IDE for a customizable development experience.
Rating
0/5
0 users
Pricing
Freemium
—
Category
AI
AI Coding Tools
Best for
Refactoring legacy
+5 use cases
What is it?
Overview
Continue provides a flexible framework for integrating local and cloud-based AI models directly into VS Code and JetBrains to automate coding tasks.
"Continue is one of the standout tools in AI Coding Tools — earning a 0/5 rating from 0 users."
See it in action
Screenshots
Continue homepage
1 / 1What you get
Features
Context-aware chat window for querying specific files and folders
Available on all plans.
Support for local LLM integration via Ollama to ensure data privacy
Available on all plans.
Seamless switching between model providers like OpenAI and Anthropic
Available on all plans.
Customizable slash commands to automate frequent refactoring tasks
Available on all plans.
Inline code generation and editing directly within the source file
Available on all plans.
Documentation indexing for faster technical searching and learning
Available on all plans.
Open-source codebase for community-driven improvements and audits
Available on all plans.
Terminal integration for troubleshooting and running shell commands
Available on all plans.
Best use cases
- Refactoring legacy code bases using specific LLM instructions
- Generating unit tests for existing functions and classes
- Learning new frameworks by indexing technical documentation
- Automating the generation of boilerplate code and scripts
- Troubleshooting complex bugs using codebase-wide context
- Ensuring data security by running AI models on local hardware
Plans & costs
Pricing
Free
- Context-aware chat window for querying specific files and folders
- Support for local LLM integration via Ollama to ensure data privacy
- Seamless switching between model providers like OpenAI and Anthropic
Pro
- Context-aware chat window for querying specific files and folders
- Support for local LLM integration via Ollama to ensure data privacy
- Seamless switching between model providers like OpenAI and Anthropic
- Customizable slash commands to automate frequent refactoring tasks
- Inline code generation and editing directly within the source file
- Priority support
Team
- Context-aware chat window for querying specific files and folders
- Support for local LLM integration via Ollama to ensure data privacy
- Seamless switching between model providers like OpenAI and Anthropic
- Customizable slash commands to automate frequent refactoring tasks
- Inline code generation and editing directly within the source file
- Documentation indexing for faster technical searching and learning
- Open-source codebase for community-driven improvements and audits
- Terminal integration for troubleshooting and running shell commands
- Team workspace
- Admin & SSO
Pricing is indicative — check the official Continue site for the latest plans.
The honest take
Pros & Cons
Pros
- Highly flexible model selection
- Strong focus on developer privacy and local hosting
- Extensive open-source community support
- Transparent configuration via JSON files
- Consistent updates for major IDEs
Cons
- Requires manual configuration for optimal performance
- Future development roadmap impacted by Cursor acquisition
- Steeper learning curve than plug-and-play proprietary tools
Community
User reviews
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