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Insights · AI in Engineering

Everything on AI in Engineering

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  1. AI-driven swarm coding, where engineers orchestrate multiple agents, is already doubling engineering output for early adopters. This requires a shift from linear coding to multi-threaded orchestration and review workflows.

    Impact: Engineering leadership must update hiring and performance metrics to value orchestration and architectural thinking over raw coding speed as AI automation accelerates.

    — from Tuan Pam on Scaling Uber, Microservices, and AI Engineering Trends · The Pragmatic Engineer Podcast· Apr 01, 2026