4.7 KiB
Reddit Launch Posts
r/androiddev
Flair: App Showcase
Title: I built a React Native app that connects to a self-hosted AI coding agent — streaming diffs, tool call approval, biometric auth
Body:
Hey r/androiddev,
Shipping a new open-source app: OpenCode Mobile, an Android client for the opencode AI coding agent.
What the app does technically:
opencode is a CLI tool that runs an AI coding agent (Claude, GPT-4, Gemini — your keys) with a local HTTP + SSE API. The mobile app speaks that API and gives you a proper native UI for sessions running on your workstation or server.
The interesting engineering bits:
- SSE streaming over
EventSourcepolyfill (React Native has no native EventSource — the web polyfill works but needs patching for Android's OkHttp redirect behavior) - Diff viewer is a custom line-level parser rendering into a FlatList, not a WebView — keeps it snappy and allows proper dark-mode theming
- Tool call approval is a bottom sheet that interrupts the stream and waits for user input before the agent proceeds
- Biometric auth (
expo-local-authentication) gates both app open and individual message sends - Credentials in Android Keystore via
expo-secure-store - Built with Expo SDK 52, TypeScript, signed AAB on every tag via GitHub Actions + EAS
Stack: React Native / Expo, TypeScript, React Query for server state, Zustand for local state, Sentry for crash reporting (opt-in, off by default).
MIT licensed, source at https://github.com/dzianisv/opencode-mobile.
Get it (F-Droid repo or direct APK): https://dzianisv.github.io/opencode-mobile/ Google Play: coming soon (internal testing for now)
Happy to get into any of the implementation details — the SSE + approval flow coordination was the trickiest part.
r/selfhosted
Flair: Project
Title: OpenCode Mobile – Android client for your self-hosted opencode AI coding agent (MIT, no backend, your keys)
Body:
I run opencode on my home server for AI-assisted coding. It's great at the desk. Away from the desk, I had nothing.
So I built a mobile client.
What it is:
OpenCode Mobile connects to your own opencode server over whatever you already use to reach home — local Wi-Fi, Cloudflare Tunnel, Tailscale, ngrok. You type the server URL into the app and that's your entire infrastructure footprint. No cloud service of mine touches your traffic.
- Token-by-token streaming chat from your server
- Inline diff viewer for every file change the agent proposes
- Tool call approval — you explicitly approve file writes and shell commands before they execute
- Multiple saved connections (home server, work VPN, etc.)
- Biometric unlock
- MIT licensed, Android source at https://github.com/dzianisv/opencode-mobile
What it is not:
Not a standalone AI model. You need opencode running: npm install -g opencode-ai && OPENCODE_SERVER_PASSWORD=yourpassword opencode serve --hostname 0.0.0.0 --port 4096. Your API keys stay on your server.
No accounts, no analytics, no proprietary backend. Sentry crash reporting is opt-in and off by default.
Install (add this repo URL in your F-Droid client): https://dzianisv.github.io/opencode-mobile/fdroid/repo Direct APK / all options: https://dzianisv.github.io/opencode-mobile/ Google Play: coming soon (internal testing for now)
r/LocalLLaMA
Flair: Project
Title: I built an Android app to control opencode from my phone — works with local LLMs via your existing opencode server config
Body:
If you run opencode with a local model (ollama, LM Studio, or any OpenAI-compatible endpoint), OpenCode Mobile gives you a mobile client for those sessions.
The setup:
opencode supports any OpenAI-compatible API via its provider config. Point it at your local model, run opencode serve, and the mobile app connects over Tailscale / local network / tunnel. All inference stays on your hardware — the app is just a UI.
What you get on the phone:
- Streaming output as your local model generates (token by token via SSE)
- File diff viewer — see what the agent is changing before approving
- Tool call approval UI — explicitly OK file writes and shell commands
- Works with any model opencode supports: local LLMs, Claude, GPT-4, Gemini, or mixed
Source / license: MIT, https://github.com/dzianisv/opencode-mobile
Get it (F-Droid repo or direct APK): https://dzianisv.github.io/opencode-mobile/ Google Play: coming soon (internal testing for now)
I'm interested in feedback from anyone running local models — particularly around latency on the SSE stream when the model is slow. Does the streaming UI feel OK when tokens come in at 3–5/sec?