How to Use Continue Guides
Comprehensive collection of practical guides for Continue including model setup, local development with Ollama, offline usage, self-hosting, custom context providers, and advanced customization tutorials
What Model & Setup Guides Are Available
- Using Ollama with Continue - Local AI development with Ollama
- How to Self-Host a Model - Self-hosting AI models
- Running Continue Without Internet - Offline development setup
CLI & Automation
- How to Use Continue CLI (cn) - Command-line interface for Continue
- Pull Request Review Bot with GitHub Actions - Set up automated, privacy-first code reviews using Continue CLI
MCP Integration Cookbooks
Step-by-step guides for integrating Model Context Protocol (MCP) servers with Continue:
Continue Docs MCP Cookbook
Use the Continue Docs MCP to write cookbooks, guides, and documentation with AI-powered workflows
GitHub MCP Cookbook
Use GitHub MCP to list, filter, and summarize open issues and merged PRs, and post AI-generated comments
Atlassian MCP Cookbook
Use Atlassian Rovo MCP to search and manage Jira issues, Confluence pages, and Compass components with natural language
PostHog Session Analysis Cookbook
Analyze user behavior data to optimize your codebase with automatic issue creation
Netlify Performance Optimization Cookbook
Optimize web performance with A/B testing and automated monitoring using Netlify MCP
Chrome DevTools Performance Cookbook
Measure and optimize web performance with automated traces, Core Web Vitals monitoring, and performance budgets
Sanity CMS Integration Cookbook
Manage headless CMS content with AI-powered workflows using Sanity MCP
Sentry Error Monitoring Cookbook
Automated error analysis with Sentry MCP to identify patterns and create actionable GitHub issues
Snyk MCP Cookbook
Integrate Snyk MCP to scan code, deps, IaC, and containers
Supabase Database Workflow Cookbook
Audit Row Level Security in your Supabase database, identify vulnerabilities, and automatically generate fixes using Supabase MCP
dlt Data Pipelines Cookbook
Build AI-powered data pipelines with dlt MCP for pipeline inspection, schema management, and debugging
What Advanced Tutorials Are Available
- Codebase and Documentation Awareness - Make agent mode aware of codebases and documentation
- Custom Code RAG - Advanced: Build custom retrieval-augmented generation for large codebases
How to Contribute to Guides
Have a guide idea or found an issue? We welcome contributions! Check our GitHub repository to get involved.