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Engineering Insights
Practical writing on software architecture, SaaS products, AI automation, legacy modernisation, and the business of building reliable systems.
Curated links from external sources — not 360Softy original articles.
Mechanistic interpretability researchers applying causality theory to LLMs
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Migrating a production AI agent to GPT-5.6: 2.2x faster, 27% cheaper
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LARP – Revenue infrastructure for serious founders
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Automation Without Understanding
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Apple’s failed self-driving car program left a legacy of powerful AI chips
Apple's self-driving car program never really got off the ground, but it may have been what made the company's chips the powerful AI performers they are. Early in the development of the self-driving platform, Apple realized that it would need powerful on-device AI processing. While the car processor was never finished, as Mark Gurman details in his latest Power On newsletter, it did lead to the development of the Neural Engine, the backbone of Apple's on-device AI processing. The Neural Engine
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