Private AI Coding: Deploy Without Giving Away Your Code

In 2025, the market for AI coding tools is valued at around $6.5 billion.

Coding is becoming increasingly widespread, even among non-technical users. Thanks to the rise of general-purpose LLMs, AI-powered coding projects built around conversational models are growing at an extraordinary pace. Platforms like Lovable, Cursor, OPENCODE, and Replit rank among the fastest-growing companies in the world.

One of my mentors once told me: technology is agnostic. Tools are neither good nor bad by nature; their impact depends entirely on how we use them. AI coding assistants can accelerate the development of glue code, improve documentation, and reduce friction in complex systems or they can be used uncritically, relying on pure “vibe coding” to assemble projects without understanding.

Your tools, your choices, your responsibility.

My opinion? Over the next few years we’ll only see better models. AI coding is here to stay.

Jensen Huang – NVIDIA CEO – On Ai Coding

THE REAL ISSUE : PRIVACY

You’ve probably tried some of these tools. Maybe you used GPT-5.2-Codex or Opus-4.5 and saw impressive results in feature development speed. Less effort, faster delivery, happier customers. From an engineering standpoint, the productivity gain is undeniable.

Every moon, however, has a dark side.

WHY USE REGOLO?

If you’re part of a large development team, or you work in a strategic company dealing with sensitive data or proprietary technology, you simply cannot use most cloud-based AI coding tools without serious trade-offs.

Every prompt, code snippet, and architectural hint is effectively sent to external servers. That includes years of R&D, internal logic, and competitive advantage, often at zero direct cost, but with a very real hidden price.

AI coding assistants are incredible accelerators, but they break a fundamental assumption many companies rely on:

code stays inside the perimeter.

Once that assumption is gone, compliance, IP protection, and long-term control become fragile.

OPENCODE + REGOLO

The idea is simple: keep the power of AI-assisted coding while restoring full control over data, privacy, and ownership, thanks to Regolo.ai’s zero-retention policy.

No prompts, no code, no metadata are logged or stored. The productivity boost stays the same, with the certainty that your code remains safe and entirely under your control.

Why Opencode?

Talking with friends and colleagues working in similar environments including strategic industries & publicly traded companies the pattern is always the same: everyone is using OpenCode.

It has quietly become the default choice when teams need speed and flexibility without giving up control. Personally, working at Seeweb with a strong focus on Regolo.ai, I feel genuinely comfortable using our models and infrastructure.

I know where the data lives, who controls it, and what architectural assumptions we’re making. That level of clarity completely changes how AI coding tools are used:

the same power, but without compromising privacy or ownership of the code.

STEP 1 : Get your Regolo API KEY

Create your Regolo API key from the official dashboard . Store it securely and avoid committing it to your codebase.

STEP 2 : Install Opencode

# =========================
# OpenCode installation
# =========================

# macOS (Homebrew)
brew install opencode-ai/tap/opencode

# Linux (curl installer)
curl -fsSL https://opencode.ai/install.sh | bash

# Windows (PowerShell)
iwr https://opencode.ai/install.ps1 -useb | iex

# Verify installation
opencode --version
Code language: PHP (php)

STEP 3 : Setup Regolo

In the directory of your progect, create a file called

opencode.jsonCode language: CSS (css)

And paste inside it this content:

{
  "$schema": "https://opencode.ai/config.json",
  "provider": {
   "regolo-ai": {
      "npm": "@ai-sdk/openai-compatible",
      "name": "regolo.ai",
      "options": {
        "baseURL": "https://api.regolo.ai/v1",
        "apiKey": "YOUR-REGOLO-KEY"
      },
      "models": {
        "gpt-oss-120b": {
          "name": "regolo/gpt-oss-120b"
        },
        "qwen3-coder-next": {
          "name": "regolo/qwen3-next-coder"
        },
        "gpt-oss-20b": {
          "name": "regolo/gpt-oss-20b"
        },
        "deepseek-r1-70b": {
          "name": "regolo/deepseek-r1-70b"
        },
        "Llama-3.3-70B-Instruct": {
          "name": "regolo/Llama-3.3-70B-Instruct"
        },
        "qwen3-vl-32b": {
          "name": "regolo/qwen3-vl-32b"
        },
        "mistral-small3.2": {
          "name": "regolo/mistral-small3.2"
        }
      }
    }
  }
}Code language: JSON / JSON with Comments (json)

Model Comparison

Qwen3-Coder-Next (recommended) is currently one of the state-of-the-art open-source models specifically designed for code. It delivers an excellent balance between code quality, reasoning capability, and development cost, making it a very strong choice for production use. In practice, it offers near top-tier performance without the heavy infrastructure and operational overhead typically associated with larger models.
GPT-OSS-120B : best suited for large codebases and complex reasoning. Useful for architectural decisions, deep refactoring, and tasks where long context and multi-step logic matter.
GPT-OSS-20B: a balanced option for everyday development. Good for feature implementation, refactoring, and documentation with lower latency and cost.
DeepSeek-R1-70B: strong at structured reasoning and debugging. Works well when correctness, algorithms, and step-by-step analysis are more important than speed.
Llama-3.3-70B-Instruct : a solid generalist for mixed workflows. Handles code generation, reviews, and technical explanations reliably, even if not code-specialized.
Qwen3-VL-32B : useful when code meets visuals. Suitable for workflows involving UI mockups, diagrams, or screenshots alongside source code.
Mistral-Small-3.2: fast and lightweight. Ideal for boilerplate, small scripts, and automation where speed and cost efficiency are key.

STEP 4 : Finished

Go on your project directory and type in the terminal :

opencodeCode language: Shell Session (shell)

And enjoy coding, refactoring, and experimenting with new ideas in complete privacy with Regolo. Your source code, prompts, and development context never leave your perimeter, allowing you to move fast without exposing sensitive logic or proprietary knowledge. Same flow, same speed now with control and trust by design.

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