Self-Hosted AI Software Development

Complete control over the code

An AI coding assistant like Copilot, but for AI software development using code on your own infrastructure: we integrate tools like OpenCode with a self-hosted model and connect GitLab and your IDEs. Autocomplete, refactoring, tests, and documentation—all in compliance with data protection regulations.

Code stays in-house

Your source code isn’t sent to GitHub or Microsoft. The AI runs on your infrastructure or through NETWAYS Managed Services in the EU.

In your editor

VS Code, JetBrains, and others are integrated via OpenAI-compatible plugins, so the team doesn’t have to switch tools.

GitLab Integration

AI directly in repositories, merge requests, and CI/CD. Right where your growth is happening anyway.

Model of your choice

Open-weight code models hosted in-house or a Frontier model like Claude via API, depending on the task.

Predictable costs

No “Pro-Seat” trap: Open-Weight models offer great value; you pay per user for operation rather than per-license fees.

GDPR & Compliance

Processing in our own data center or in the NETWAYS Web Services Cloud (EU, ISO 27001). All set for IP protection and audits.

The Problem with Common AI Coding Assistants

AI Software Development with coding assistants such as Copilot significantly speeds up the work enormously, but the popular cloud services process your source code on third-party servers.

Code Flows into Third-Party Clouds

Copilot & Co. send source code to U.S. providers. For industries with protected intellectual property and those subject to regulation, this is often a no-go.

Per-Seat Costs & Lock-in

License per developer; does not affect the model or operations. In addition, costs rise as the team grows.

No reference to one’s own code

Generic wizards aren’t familiar with your internal libraries, conventions, and repositories. That’s why their suggestions are only half as good.

Here’s How to Build Your Own Self-Hosted AI Software

Four steps, identical for every NETWAYS solution: from the right tools to productive, privacy-compliant AI software development.

Step 1

Analysis & Concept

We determine the programming languages, IDEs, repositories, and data protection requirements, and select the appropriate tools and code models.

→ A setup that fits your stack—not an off-the-shelf solution.

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Step 2

Setup & Integration

We set up the self-hosted wizard (e.g., OpenCode) along with the model backend (vLLM or NWS AI) and integrate it with IDEs and GitLab.

→ Developers continue to work in their usual editor.

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Step 3

Implementation & Team Enablement

Go-live: We’ll show the team how to work with AI—where it excels and where it doesn’t—clearly distinguishing it from pure “vibe coding.”

→ Realistic expectations and a professional approach instead of hype.

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Step 4

Support & Operations

Upon request, we can handle operations, updates, and model maintenance, or we can train your team

→ A reliable assistant without its own MLOps team.

Building Blocks of Your Solution

For each module, you decide how much you manage yourself and where you rely on NETWAYS services.

AI Development Assistant

Coding Assistant

A self-hosted assistant like OpenCode is your alternative to Copilot: it provides autocomplete, refactoring, explanations, and tests—all without requiring a cloud connection.

Result: familiar convenience, without having to enter a code.

Model Hosting

Model Backend

An open-weight code model via vLLM in your own data center or as a managed AI model through NETWAYS Managed Services; if needed, a Frontier model via API.

Effect: Code is processed locally or within the EU.

Seamless integration with the editor

IDE Integration

Integration with VS Code, JetBrains, and other editors via OpenAI-compatible plugins without disrupting your daily workflow.

Result: Get up and running right away with the tools you’re used to.

AI in the DevOps Workflow

GitLab & CI

AI directly in repositories, merge requests, and pipelines. For reviews, commit messages, and routine tasks in CI/CD.

Impact: AI where your development takes place.

What You’ll Achieve

Develop More Productively · IP Protected · Full Control

Develop More Productively

Autocomplete, refactoring, testing, and documentation are all faster to complete. The team avoids falling into a rut and stays in the flow.

IP remains protected

Your source code never leaves your infrastructure. This is important for protected processes and regulated industries.

Full Control

You decide on the model, operation, and costs yourself. No vendor lock-in, no dependence on a single provider.

What is your solution built with?

Proven open-source components, operated in-house or through NETWAYS Managed Services. You decide what you’ll do yourself and what NETWAYS will handle.

vLLM

Runs the code model efficiently on your hardware and provides an OpenAI-compatible API, either self-hosted or as a Managed AI Model via NMS.

OpenWebUI

Chat interface for developers: Ask questions about coding knowledge, search your repos and documentation using RAG—all internally.

n8n

Connects the wizard to CI/CD and other systems and triggers routines, such as automatic review comments or changelogs.

GitLab

Repositories, merge requests, and CI/CD—the place where AI integrates directly into reviews, pipelines, and commit workflows.

We’ll integrate what you’re already using with

Thanks to its OpenAI-compatible interface, the assistant integrates seamlessly into your existing development environment without requiring any special adjustments.

Coding Assistants

  • OpenCode
  • Continue
  • Tabby
  • Cline / Roo Code

Repos & CI/CD

  • GitLab
  • GitHub (self-managed)
  • CI/CD pipelines
  • Merge Requests

Operations & Privacy Policy

  • In-house data center
  • NWS Cloud (EU)
  • ISO 27001
  • 24/7 MyEngineer

IDEs & Editors

  • VS Code
  • JetBrains
  • Neovim
  • Claude Code

Model & Backend

  • vLLM
  • NWS AI
  • Open-Weight Code Models
  • Claude (API)

Questions & Answers

Frequently Asked Questions About This Solution

What is AI software development with a self-hosted assistant?

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AI software development with a self-hosted assistant means that a tool like Copilot does not run in a third-party cloud, but on your own infrastructure or with NETWAYS Managed Services in the EU. Your source code remains in-house.

Is there a self-hosted alternative to Copilot?

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Yes, there is a self-hosted Copilot alternative. Tools like OpenCode offer Copilot-like features—such as autocomplete, refactoring, and explanations—but can be used with a custom model. When used in combination with vLLM or NWS's Managed AI Models, you retain full control over your code.

What is OpenCode?

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OpenCode is an open-source AI coding assistant that can be self-hosted and connected to a language model of your choice. Here's how to get AI support in the IDE without sending source code to an external cloud service.

Is GitHub Copilot GDPR-compliant?

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At Copilot, code is transferred to services outside the EU for processing, which can be a critical issue depending on the type of data and the industry. A self-hosted alternative with a model in your own data center or at NWS processes the code within the EU—that is the key to data protection.

Can an AI coding assistant be deployed on-premises?

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Yes. The assistant and model run on your own hardware—nothing leaves your home. If you don't want to run GPUs, you can use the model via the German, ISO-certified NWS Cloud instead.

Which editors are supported?

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The OpenAI-compatible API allows you to integrate popular editors such as VS Code, JetBrains IDEs, and Neovim—often using the same plugins you use for other AI assistants. Only the base URL and API key point to your own model.

What's the difference between this and "Vibe Coding"?

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In "Vibe Coding," you let the AI generate code largely on its own and adopt it without checking it. Professional AI software development uses AI specifically as a tool—with reviews, testing, and a clear understanding of its strengths and weaknesses. We teach the team exactly how to handle this.

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