How AI Coding Powered the End‑to‑End Development of NMLeak, an Android Native Memory Leak Detector
This article recounts the three‑week, single‑developer journey of building NMLeak—a 5,881‑line Android native memory‑leak detection library—by manually splitting the architecture, applying AI‑assisted module coding and spec‑driven design, and highlights which practices succeeded and where human oversight remains essential.
