102 lines
4.7 KiB
Markdown
102 lines
4.7 KiB
Markdown
# Reddit Launch Posts
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---
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## r/androiddev
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**Flair:** App Showcase
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**Title:** I built a React Native app that connects to a self-hosted AI coding agent — streaming diffs, tool call approval, biometric auth
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**Body:**
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Hey r/androiddev,
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Shipping a new open-source app: OpenCode Mobile, an Android client for the [opencode](https://github.com/sst/opencode) AI coding agent.
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**What the app does technically:**
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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.
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The interesting engineering bits:
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- SSE streaming over `EventSource` polyfill (React Native has no native EventSource — the web polyfill works but needs patching for Android's OkHttp redirect behavior)
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- Diff viewer is a custom line-level parser rendering into a FlatList, not a WebView — keeps it snappy and allows proper dark-mode theming
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- Tool call approval is a bottom sheet that interrupts the stream and waits for user input before the agent proceeds
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- Biometric auth (`expo-local-authentication`) gates both app open and individual message sends
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- Credentials in Android Keystore via `expo-secure-store`
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- Built with Expo SDK 52, TypeScript, signed AAB on every tag via GitHub Actions + EAS
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**Stack:** React Native / Expo, TypeScript, React Query for server state, Zustand for local state, Sentry for crash reporting (opt-in, off by default).
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MIT licensed, source at https://github.com/dzianisv/opencode-mobile.
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Get it (F-Droid repo or direct APK): https://dzianisv.github.io/opencode-mobile/
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Google Play: coming soon (internal testing for now)
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Happy to get into any of the implementation details — the SSE + approval flow coordination was the trickiest part.
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---
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## r/selfhosted
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**Flair:** Project
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**Title:** OpenCode Mobile – Android client for your self-hosted opencode AI coding agent (MIT, no backend, your keys)
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**Body:**
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I run [opencode](https://github.com/sst/opencode) on my home server for AI-assisted coding. It's great at the desk. Away from the desk, I had nothing.
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So I built a mobile client.
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**What it is:**
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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.
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- Token-by-token streaming chat from your server
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- Inline diff viewer for every file change the agent proposes
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- Tool call approval — you explicitly approve file writes and shell commands before they execute
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- Multiple saved connections (home server, work VPN, etc.)
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- Biometric unlock
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- MIT licensed, Android source at https://github.com/dzianisv/opencode-mobile
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**What it is not:**
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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.
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No accounts, no analytics, no proprietary backend. Sentry crash reporting is opt-in and off by default.
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Install (add this repo URL in your F-Droid client): https://dzianisv.github.io/opencode-mobile/fdroid/repo
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Direct APK / all options: https://dzianisv.github.io/opencode-mobile/
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Google Play: coming soon (internal testing for now)
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---
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## r/LocalLLaMA
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**Flair:** Project
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**Title:** I built an Android app to control opencode from my phone — works with local LLMs via your existing opencode server config
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**Body:**
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If you run [opencode](https://github.com/sst/opencode) with a local model (ollama, LM Studio, or any OpenAI-compatible endpoint), OpenCode Mobile gives you a mobile client for those sessions.
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**The setup:**
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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.
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**What you get on the phone:**
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- Streaming output as your local model generates (token by token via SSE)
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- File diff viewer — see what the agent is changing before approving
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- Tool call approval UI — explicitly OK file writes and shell commands
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- Works with any model opencode supports: local LLMs, Claude, GPT-4, Gemini, or mixed
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**Source / license:** MIT, https://github.com/dzianisv/opencode-mobile
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Get it (F-Droid repo or direct APK): https://dzianisv.github.io/opencode-mobile/
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Google Play: coming soon (internal testing for now)
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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?
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