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When an AI Agent Needs a Finger: The Engineering Behind Click-Through Mac Overlays
developer tools Oct 09, 2026 5 min read

When an AI Agent Needs a Finger: The Engineering Behind Click-Through Mac Overlays

AI agents can automate impressive tasks, but they still need a safe way to hand control back to a person. This article explains how a small macOS Swift CLI uses click-through overlays, accessibility targets, careful focus handling, and automatic cleanup to point without clicking.

by ahsan
#accessibility #ai agents #cli #macos #swift
Apple Pass Designer: From Wallet Idea to Working Pass
apple development Oct 03, 2026 6 min read

Apple Pass Designer: From Wallet Idea to Working Pass

Apple Pass Designer gives developers and small teams a visual way to create Apple Wallet passes. This guide explains pass styles, pass.json data, semantic tags, image assets, backward compatibility, validation, signing, and the role of Pass Builder.

by ahsan
#apple wallet #ios development #pass designer #semantic tags #swift
A Connectome-Driven Fruit Fly on Your macOS Desktop
neurosimulation Aug 19, 2026 8 min read

A Connectome-Driven Fruit Fly on Your macOS Desktop

DesktopFly brings FlyWire’s connectome data to life on macOS: a 668-neuron spiking (LIF) circuit turns cursor-driven looming inputs into giant-fiber spikes, then into embodied behavior like walking, grooming, and escape. Learn how real wiring becomes real-time motion.

by ahsan
#connectomics #macos #neurosimulation #spiking-neural-networks #swift
Run 80B Qwen on 4.3GB RAM with Expert Streaming on Mac
machine learning Aug 04, 2026 6 min read

Run 80B Qwen on 4.3GB RAM with Expert Streaming on Mac

Swiftlet demonstrates how to run Qwen MoE models locally by keeping only the dense core in RAM and streaming routed experts from SSD on demand. It reports ~4.3GB RAM for a 4-bit 80B model on an M5 Mac, and an on-device 35B experience on iPhone around ~2.5GB RAM.

by ahsan
#apple silicon #local llm #metal #mixture of experts #swift
Streaming Gemma 4 26B on 2GB RAM: TurboFieldfare on M-series Macs
machine learning Jul 29, 2026 7 min read

Streaming Gemma 4 26B on 2GB RAM: TurboFieldfare on M-series Macs

TurboFieldfare runs Gemma 4 26B-A4B on Apple Silicon with ~2GB RAM by keeping core weights + an FP16 KV cache resident and streaming only the routed MoE experts from SSD. This post explains the memory pieces (MoE routing, KV cache, quantization) and walks through building, installing, and tuning the runtime.

by ahsan
#apple silicon #llm inference #metal #mixture of experts #swift

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