The easiest way to code with any LLM
An open-source autopilot in your IDE
Task, not tab, auto-complete
Continue will generate, refactor, and explain entire sections of code
Answer coding questions
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Highlight sections of code and ask Continue for another perspective
– “what does this forRoot() static function do in nestjs?”
– “why is the first left join in this query necessary here?”
- “how do I run a performance benchmark on this rust binary?”
Edit in natural language
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Highlight a section of code and instruct Continue to refactor it
– “/edit rewrite this to return a flattened list from a 3×3 matrix”
– “/edit refactor these into an angular flex layout on one line”
– “/edit define a type here for a list of lists of dictionaries”
Generate files from scratch
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Open a blank file and let Continue start new Python scripts, React components, etc.
– “/edit get me started with a basic supabase edge function”
– “/edit implement a c++ shortest path algo in a concise way”
– “/edit create a docker compose file with php and mysql server”
Stay in flow when coding with LLMs
Continue acts natively inside your IDE, so you never have to switch windows, copy, and paste to get help from Large Language Models ever again.
Choose any LLM
Use any model, including GPT-4, Code LLama, Claude 2, Phind-CodeLlama, PaLM 2, WizardCoder, and more
Choose any provider
Deploy locally (Ollama, LM Studio, etc), in your cloud (vLLM, TGI, etc), or with SaaS (Together, OpenAI API, etc)
Your codebase as context
Ask Continue to automatically determine what context to use from your codebase or highlight it yourself
Customize your workflows
Create a custom configuration, custom slash commands, custom context providers, custom steps, and more
Use your development data
Continuously finetune custom models using the data that your team collects as you build software with Continue
Deploy for your team
Reach out on Discord to get help setting up Continue once for your entire team to use together
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