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NativeCode

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Free, local-first AI coding IDE for macOS and Windows. 7.1 MB on Mac, no Chromium bundled. Runs fully offline with Ollama or LM Studio.

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The Bottom Line

Entry price

Free, no paid tier

Biggest pro

7.1 MB download on macOS — a fraction of the size of Electron-based AI IDEs

Biggest con

Requires a separately installed model server such as Ollama or LM Studio

TL;DR - NativeCode

  • Free and fully local — runs offline with Ollama, LM Studio or any OpenAI-compatible server
  • 7.1 MB on macOS, 56 MB on Windows — no bundled Chromium, unlike Electron-based IDEs
  • Real coding agent with plan mode, project memory and approval before every write
Pricing: Free forever
Best for: Individuals & startups

What is NativeCode?

Editorial review
NativeCode is a free, local-first AI coding IDE for macOS and Windows. It connects to Ollama, LM Studio or any OpenAI-compatible server, so your code, prompts and context never leave your machine — no account, no API key, no telemetry. Unlike Electron-based alternatives, NativeCode hosts its interface in the WebView already built into the operating system (WKWebView on macOS, WebView2 on Windows) instead of bundling Chromium: the macOS download is 7.1 MB and the Windows installer 56 MB, against the 150 MB or more typical of Electron apps. Inside you get a real coding agent with plan mode, project memory, skills, pinned context and self-review, plus an approval gate before every file write or shell command. It works fully offline, which makes it usable in air-gapped and privacy-sensitive environments.

Pros & Cons

Pros

  • 7.1 MB download on macOS — a fraction of the size of Electron-based AI IDEs
  • Works completely offline, no account or API key required
  • Free with no usage limits and no subscription

Cons

  • Requires a separately installed model server such as Ollama or LM Studio
  • Still in 2.0 beta — expect occasional bugs and rough edges

Preview

Key Features

100% local — connect Ollama, LM Studio or any OpenAI-compatible server. No account, no API key, zero telemetry.A real coding agent — plan mode, project memory, skills, pinned context, self-review and automatic context compaction for long sessions.Approval before every write — the agent asks before it edits, deletes or runs a shell command. Destructive commands are blocked outright.Small download — 7.1 MB on macOS, 56 MB on Windows. Uses the system WebView (WKWebView / WebView2) instead of bundling Chromium, so there is no 150 MB install and no runtime to set up.Reasoning and vision — thinking streams into its own collapsible panel, effort is adjustable per chat, and you can paste screenshots straight into the conversation.

Pricing

Free

NativeCode is completely free to use with no hidden costs.

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Is NativeCode worth the price?

95/100

NativeCode is completely free, making it extraordinarily generous compared to paid AI coding assistants that charge $10-20/month.

The lack of any pricing tiers or usage limits is a major win for developers who value privacy and offline capability. Best for any developer who wants a zero-cost, local-first alternative to subscription-based tools.

Hidden Costs & Gotchas

Requires Ollama or LM Studio setup (free but manual)

Local GPU or sufficient RAM needed for models

Electricity costs for running models locally

No cloud sync or collaboration features

Model download sizes can be large (GBs)

How NativeCode Compares to Competitors

NativeCode is vastly cheaper than paid tools like Cursor or GitHub Copilot, which charge monthly fees for AI features. However, it lacks the built-in model access and cloud convenience of those products, requiring users to self-host models. For developers who already run local LLMs, it offers unbeatable value at zero cost.

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NativeCode FAQ

How does NativeCode support developers who need to work without an internet connection?

NativeCode runs local models via Ollama and LM Studio, enabling AI-assisted coding entirely offline. This makes it suitable for developers in air-gapped environments or those concerned about data privacy.

How does NativeCode compare to Cursor for local AI code generation?

Unlike Cursor, which primarily relies on cloud-based AI models, NativeCode is designed to run local models through Ollama and LM Studio. This allows developers to keep all code and AI processing on their machine without sending data to external servers.

Does NativeCode run on Windows as well as macOS?

Yes. NativeCode runs on both macOS and Windows. It hosts its interface in WKWebView on macOS and WebView2 on Windows rather than bundling Chromium. The macOS download is 7.1 MB and the Windows installer is 56 MB.

What kind of user benefits most from NativeCode's local-first approach?

Developers who prioritize data privacy, work in offline environments, or want to avoid subscription fees benefit most. It is also ideal for teams that need to use custom or open-source models through OpenAI-compatible servers.

How is NativeCode priced for individual developers and teams?

NativeCode is free to use with no paid plan required. There are no subscription fees or usage limits, making it accessible to all developers.

Can NativeCode connect to OpenAI-compatible API servers for code assistance?

Yes, NativeCode supports OpenAI-compatible servers in addition to local models via Ollama and LM Studio. This allows developers to use any provider that offers an OpenAI-compatible endpoint.

Which local model servers does NativeCode work with?

NativeCode works with Ollama, LM Studio and any OpenAI-compatible endpoint, including a remote Ollama running elsewhere on your network. This lets developers use a wide range of open-source models on their own hardware with no cloud dependency.

Why is the NativeCode download so much smaller than other AI IDEs?

Most AI IDEs are Electron apps that bundle an entire Chromium runtime, which pushes the installer past 150 MB. NativeCode uses the WebView already built into the operating system instead, so the macOS download is 7.1 MB and the Windows installer is 56 MB.

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