macOS Development Podcast Summaries

macOS Development on Yedapo: 1 summarized podcast and YouTube episode. Each includes key takeaways, core concepts and notable quotes with timestamps.

Ollama is Too Slow: Try This Instead!
Eric Tech
May 26, 2026
OMX significantly outperforms standard Ollama local model inference, enabling faster, more reliable performance for AI coding agents on Mac hardware. It effectively manages memory and resource constraints, allowing the use of heavier models that often crash standard setups.
Key insight: OMX allows users to run models like Gemma 4B that consistently cause resource crashes in standard Ollama environments, while simultaneously cutting inference response times.