This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
NativeCode is an AI coding IDE that is truly native — SwiftUI + MLX on macOS, WinUI 3 + Ollama on Windows. No Electron, no cloud, no account. Run local models (Qwen3, Gemma 3 and more) fully on your machine, or point it at any OpenAI-compatible server like LM Studio. You get the Monaco editor, a project-aware agent with plan mode and an approval flow, an integrated terminal, vision support and built-in model management. Your code never leaves your computer. Free download.
Hi Product Hunt! 👋
I built NativeCode because I wanted a Cursor-like experience without the cloud — something that runs models locally and feels truly native, not another Electron wrapper.
On macOS it is SwiftUI with MLX inference, on Windows it is a ground-up WinUI 3 app using Ollama. Both have the Monaco editor, a project-aware agent with plan mode (it asks before touching your files), and an integrated terminal.
It is free and works 100% offline with local models — no account, no API key needed. I would love your feedback, especially on which local models work best for you. Ask me anything!
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About NativeCode on Product Hunt
“A truly native, local-first AI coding IDE”
NativeCode was submitted on Product Hunt and earned 1 upvotes and 1 comments, placing #115 on the daily leaderboard. NativeCode is an AI coding IDE that is truly native — SwiftUI + MLX on macOS, WinUI 3 + Ollama on Windows. No Electron, no cloud, no account. Run local models (Qwen3, Gemma 3 and more) fully on your machine, or point it at any OpenAI-compatible server like LM Studio. You get the Monaco editor, a project-aware agent with plan mode and an approval flow, an integrated terminal, vision support and built-in model management. Your code never leaves your computer. Free download.
NativeCode was featured in Vibe coding (561 followers) on Product Hunt. Together, these topics include over 1.1k products, making this a competitive space to launch in.
Who hunted NativeCode?
NativeCode was hunted by Jakub Hecht. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Jakub Hecht