Question 1

What is a private AI coding assistant?

Accepted Answer

A private AI coding assistant runs on your own servers or data centers you control, not on vendor infrastructure. Your source code stays private: it is never sent to OpenAI, GitHub, or any external service for training or processing. Open WebUI, paired with models like DeepSeek Coder or Code Llama, gives you GitHub Copilot-level code suggestions with full privacy and model freedom. Opsily handles the hosting, scaling, and security so you don't have to.

Question 2

How much does private AI coding cost compared to GitHub Copilot?

Accepted Answer

GitHub Copilot Business costs $19 per developer per month, billed annually. A team of 20 developers pays $380/month. Opsily's Open WebUI plans start at €30/month flat, with unlimited seats. A team of 20 still pays the same €30. For large teams, the savings are 70-90%. You pay for infrastructure once, not per person.

Question 3

Can I use my private AI assistant offline?

Accepted Answer

Yes. If you run local models like Code Llama or DeepSeek Coder via Ollama on your machine, Open WebUI works entirely offline. No internet required. If you use API-based models (Claude, GPT-4), you need connectivity for those calls, but the web UI itself is always available on your network. For air-gapped environments, Opsily supports on-premises deployments with zero external dependencies.

Question 4

How do I integrate a private AI assistant with my IDE?

Accepted Answer

Install Continue.dev (free, open-source) in VS Code or JetBrains. In the settings, point it to your Opsily-hosted Open WebUI endpoint. Continue handles the IDE side—autocomplete, inline chat, refactoring. Open WebUI handles the model inference. The two talk to each other. You get code suggestions right in your editor, with your source code never leaving your network.

Question 5

What are the best local AI models for private coding tasks?

Accepted Answer

DeepSeek Coder, Code Llama, and Mistral are optimized for code generation and refactoring. For more complex reasoning or debugging, Claude 3.5 or GPT-4 excel. Open WebUI lets you run multiple models at once. You can use a fast local model for autocomplete and a powerful API model for detailed design work. Test and choose based on your team's needs and latency tolerance.

Question 6

Is my code really private on Opsily?

Accepted Answer

Yes. Opsily runs your Open WebUI instance on isolated infrastructure that only you can access. Your code and models are encrypted at rest and in transit. Opsily does not access your data, train on it, or share it with third parties. Your team members access Open WebUI via login (OAuth2, LDAP, or SSO). All conversations, code uploads, and RAG vectors stay in your database. GDPR compliant. Zero-knowledge by design.

Question 7

Do I need a GPU to run a private AI coding assistant?

Accepted Answer

For best performance, yes. Opsily's Medium and Large plans include GPU resources. If you want to run large models locally (Code Llama 13B, DeepSeek Coder), a GPU speeds up inference dramatically. CPU-only setups work but are slower. For smaller models or API-based backends (Claude, GPT-4), GPU is less critical. Opsily handles the hardware; you just configure the models you want.

Question 8

Can I migrate from GitHub Copilot to a self-hosted AI coding assistant?

Accepted Answer

Yes. There is no lock-in. Stop paying GitHub Copilot. Install Continue.dev and point it to your Opsily Open WebUI endpoint. Your IDE shortcuts and hotkeys work the same way. The suggestion quality is comparable or better because you control the models. Opsily team can guide you through the setup and help you choose the right models for your codebase.

Private AI Coding Assistant That Stays on Your Servers

Why Choose Private AI Coding on Opsily

No Per-Seat Tax

Your Code Stays Private

Swap Models, Not Vendors

Built for teams who need reliability

How It Works: 4 Steps to Private AI Coding

Deploy Open WebUI on Opsily

Install Continue.dev in Your IDE

Pick Your Models

Code Faster. Securely.

Everything You Need. No Tiers.

Why Developers Are Leaving GitHub Copilot

Simple. Transparent. No Surprises.

Trust and Data Sovereignty

GDPR Compliant

Zero-Knowledge Architecture

On-Premises Option

EU Data Residency

Questions Developers Ask

Keep Your Code Private. Stop Paying Per-Seat.