Hi all,
🚀 ContextDroid v0.1.1 is now available
I’ve built ContextDroid, an open-source Android-focused command-output optimizer for AI coding agents, developed as an independent downstream of RTK.
It helps reduce noisy output from Gradle, ADB, Logcat, tests, KSP/KAPT, AAPT2, D8/R8, and other Android tools—while preserving important details such as failing tasks, source locations, root causes, and application stack frames.
ContextDroid captures the complete raw output first, returns a compact version only when it is safe, and allows the original output to be recovered through a run ID.
I’m inviting Android developers, AI coding-agent users, and open-source contributors to try it on real projects and share feedback, missing diagnostic formats, or ideas for additional Android tooling support.
📖 More about the motivation, architecture, and design decisions:
https://medium.com/@smquasim016/contextdroid-making-android-vibe-coding-more-token-efficient-without-hiding-the-root-cause-ba3e3ae3bf8a
🔗 GitHub:
https://github.com/HawkItzme/ContextDroid
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