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
Continuous AI
- Continuous AI: A Developer’s Guide - Integrating AI into development workflows
- How to Use Continue CLI (cn) - Command-line interface for Continue
- Continuous AI Readiness Assessment - Evaluate team readiness for Continuous AI adoption
- Notion + Continue Guide - Automate docs, tasks, and release workflows
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
- 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 + Continue Hub Agent Cookbook (MCP) - Integrate Snyk MCP via Continue Hub to scan code, deps, IaC, and containers
- 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 your agent aware of codebases and documentation
- Custom Code RAG - Advanced: Build custom retrieval-augmented generation for large codebases