@AndroidHarness

A Native Android AI Coding Agent harness app.

github.com/Sanuu7/AndroidHarness
Joined August 2026
  • Tweets40
  • Following15
  • Followers5
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I just built an Android app using an Android app. Sounds ridiculous, but watch this. AndroidHarness wrote the code, compiled the APK, and installed the finished app directly on my phone. No PC. No Android Studio. No cloud build service. Actual Android development, entirely on Android. #AndroidDev #AICoding
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Replying to @lennox_mur41250 @deepseek_ai @runinfrai @ornith_
Absolutely
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Replying to @ProtonDrive
it knows my entire bloodline and has already predicted the upcoming generation
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Replying to @ClaudeDevs
We are going to copy this feature shamelessly
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Replying to @cline
Should I buy 3 more cline subscription
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Replying to @gradientpull @refuselessai
I got a better one. CrystalBench!
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Replying to @refuselessai @gradientpull
I mean meth recipe is the classic abliterated model test 😭
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Replying to @liridonnikqi
Absolutely
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Replying to @corhoonx
Thank you!
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Replying to @mianoedwin_
Absolutely
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Replying to @RyanJ_KOL
Indeed
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Replying to @thsottiaux
Reset? 🤔
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Replying to @Shadowfetch
Thank you! There's still a lot more to add, this is a step forward on AndroidHarness 📝
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Replying to @mitansh_j07
Indeed, plus you can continue to coding section right from chat if you suddenly got an idea to make something. ⚡
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Just shipped Android Harness 2.7! I've been working on something I've wanted in the app for a while: a proper Chat section alongside the coding agent. You can now just chat, research, brainstorm, or ask questions without opening a coding workspace. It has automatic web + GitHub tools, deep research with up to 100 sources, rich replies, attachments, and shared memory. And my favourite part? If a conversation turns into something you want to build, you can take that context straight into Code and continue from there. All on Android. No PC needed. github.com/Sanuu7/AndroidHar… #AndroidHarness #OpenSource #AndroidDev #AI #AIAgents #Coding #BuildInPublic
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Asked @deepseek_ai v4.1 flash 1017 from @runinfrai to make a website about our AndroidHarness using AndroidHarness on phone. The results are really good and clearly an improvement from DS4.1 Here is the results that we got. We should test the new @ornith_ model on RunInfra Next and compare. #OpenSource
RunInfra (YC F26)
@runinfraiOct 17
DeepSeek V4.1 Flash 1017 is live on RunInfra hour 0 support. day 0 is for slow teams 327 tok/s output. 30ms to first reasoning token $0.15 per 1M input, $0.60 per 1M output, $0.01 per 1M cached. 1M token context cache hit rate stays above 98% on agentic workloads. every hit and miss shows up in your dashboard, so you can check it yourself OpenAI-compatible chat completions and Anthropic-compatible /v1/messages. text and image input zero data retention. never used for training runinfra.ai/inference-api/de…
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Replying to @Miano_Men
You can always run a local model inside AndroidHarness 😄
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Replying to @SympathyLabs
❤️
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Replying to @DanKornas
Thank you for sharing this.
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After I use Abliterated Model GLM 5.3 by @abliteration_ai to get an uncensored answer, and then if I continue the same chat with deepseek or mimo models or any opensource models, It actually continues doing the same task which Abliterated-model-large-v2 did without refusal. Interesting 🤔. #AI #GLM53 #AbliteratedAI #DeepSeek #MiMo #OpenSourceAI #UncensoredAI #LLM #AIResearch #ModelAlignment #AIExperiment #PromptEngineering
Abliteration
@abliteration_aiOct 2
We're excited to announce abliterated-model-large-v2 (GLM 5.3 abliterated) is live on @AskVenice!
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