ASSISTANTS
BLOCKS
BUNDLES
Custom AI code assistants are configurations of building blocks that enable you to receive assistance tailored to your specific use cases
The following assistants are popular in the Continue community
Helps you write code that follows SOLID design principles
Helps you build dlt pipelines and explore loaded data. We recommend an LLM with strong tool-calling abilities and prompt adherence for the best experience.
Local Ollama assistant using Gemma 3
Mistral for Chat, Edit, Apply, and Embed.
SambaNova assistant using DeepSeek-R1-Distill-Llama-70B and qwen2.5-coder-32b-instruct for autocompletion
Continue's Python Assistant
Novita Python Assistant
Build AI applications using LanceDB as a vector database
Specialized in React development with focus on component architecture, state management, and testing best practices.
This Assistant is good in Full-Stack Web Development.
Expert in Laravel framework, emphasizing MVC architecture, Eloquent ORM, and robust feature testing.
Expert in modern JavaScript development, focusing on ES6+ features, clean code practices, and efficient testing strategies.
Helps you manage your dlt+ project, build dlt pipelines, and explore loaded data. We recommend an LLM with strong tool-calling abilities and prompt adherence for the best experience. Reach out for an early access dlt+ license: https://dlthub.com/docs/plus/intro
Specialized in Java development with emphasis on object-oriented principles, type safety, and robust testing methodologies.
Sambanova Qwen-2.5-coder-32B coding Assistant