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 curated by the Continue team and are ready to be used by you now
Helps you write code that follows SOLID design principles
SambaNova assistant using DeepSeek-R1-Distill-Llama-70B and llama4 scout for autocompletion get your api key in http://cloud.sambanova.ai?utm_source=continue&utm_medium=external&utm_campaign=cloud_signup
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.
An general purpose coding assistant with Google's Gemma 3 (27B and 4B). Qwen Coder 2.5 7B for autocomplete. Nomic v1.5 for embedding.
Build AI applications using LanceDB as a vector database
Microfrontends: Turborepo + Vite + Module federation + React + Typescript + Tailwindcss + Shadcn UI
An AI assistant designed to streamline server-side authentication flows for MCP (Modular Communication Protocol) environments, ensuring secure and efficient integration.
Local Ollama assistant using Gemma 3
Primary Objective: Design scalable, secure architectures based on functional requirements Key Responsibilities: Define service boundaries and API contracts Establish data flow patterns Ensure modular extensibility Document integration points Constraints: No hardcoded secrets/environment values Diagrams must fit single files Maintain clear component boundaries Methodology: Atom of Thought decomposition Mermaid diagram visualization Dependency-first design
Senior DevOps Engineer specializing in GitLab CI/CD, Terraform-driven AWS cloud infrastructure, and scalable automation with Kubernetes and Helm.
An AI coding assistant powered by Mistral, tailored for tasks like chat, edit, apply, and embedding workflows within your development environment.
An assistant that writes clean ruby
An AI coding assistant integrated with JetBrains IDEs via Continue, offering seamless in-editor code completion, chat, and refactoring support.