Continue

As someone who's been running local AI models on my homelab for over a year, Continue has become an essential part of my development workflow. This open-source VS Code and JetBrains extension bridges the gap between powerful local LLMs and practical coding assistance, delivering features that rival GitHub Copilot while keeping everything on your own hardware.

Setup is refreshingly straightforward if you already have Ollama running. After installing the extension, you simply point Continue to your local Ollama instance and select your preferred model. I've tested it extensively with CodeLlama, Deepseek Coder, and even smaller models like Phi-3 on my RTX 4090 setup. The configuration file is well-documented, and switching between different models for different tasks is seamless.

Performance varies significantly based on your hardware and model choice. On my dedicated AI server with 48GB VRAM, CodeLlama 34B provides excellent code completion with sub-2-second response times. However, running smaller models like CodeLlama 7B on more modest hardware still delivers useful results, just with slightly less sophisticated suggestions. The real-time code completion feels natural and doesn't interrupt your flow like some alternatives.

The standout feature is the flexibility to mix and match models. I use different models for different languages – Deepseek Coder for Python and JavaScript, and CodeLlama for systems programming. The chat interface is particularly useful for explaining complex code sections or debugging, and having these conversations completely private is invaluable when working on proprietary projects.

Continue also supports cloud providers if you want to supplement local models with more powerful options, but the local-first approach is what makes it special for homelab users. The API integration means you can connect it to any OpenAI-compatible endpoint, including local deployments of other inference engines.

Limitations include the typical challenges of local AI – you need substantial hardware for the best experience, and setup complexity increases if you want optimal performance. The extension occasionally struggles with very large codebases, and context management isn't as sophisticated as some commercial alternatives. Documentation could be more comprehensive for advanced configurations.

For privacy-conscious developers who want AI coding assistance without sending code to external services, Continue is exceptional. It's not quite plug-and-play for newcomers to self-hosted AI, but for homelab enthusiasts already running local models, it's a must-have tool.