Angad Singh

I bought a DGX Spark to fine-tune models — but first I owed my last post a rematch. I re-ran the same local/free/paid LLM inference benchmark on 120 GB of Grace-Blackwell instead of a CPU NUC. It fixes the one thing the NUC got fatally wrong, hits a bandwidth ceiling I didn't see coming, and makes clear why the real reason I bought it isn't inference at all.

Google's Android Bench scores LLMs on real Android engineering tasks. A look at what the June 2026 leaderboard actually says — why the top is a statistical tie, where the real cost-efficiency winners are, and the trap hiding in the cost and latency columns.

A hands-on walkthrough of Android's experimental AppFunctions API. I build a small but complete notes app, expose four functions to on-device agents with @AppFunction, and trace exactly what the KSP compiler generates and how the system discovers and invokes them.

Part 2 of the foldables series. We build an adaptive media player in Jetpack Compose that reacts to tabletop and book postures with Jetpack WindowManager, picks list-detail layouts with window size classes, and verify all of it on the Pixel Fold emulator.