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Distributed-systems author Sam Newman has raised the risk of “cognitive surrender” as AI enters software engineering. In an episode of the Pragmatic Engineer podcast, he discusses the limitations of large language models alongside resilience in distributed systems.
Why it mattersIt is a pointed concern for developers using AI tools: assistance can become a substitute for judgement if nobody checks the work. Newman also explains idempotency keys and fingerprints, two terms that are easy to muddle when building reliable systems.
Discuss: When using AI to write or maintain software, what checks should stay with the developer rather than being handed to the tool?
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