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Large Language ModelsAI in HealthcareAI Coding AssistantsHacker NewsPublished: Mar 25, 2026, 10:22 JST1 min read

Developer questions the productivity claims of completely offloading coding to AI, citing inefficiency in debugging and triage workflows.

Developer questions the productivity claims of completely offloading coding to AI, citing inefficiency in debugging and triage workflows.

3 Key Points

  1. A Claude and max plan subscriber challenges the trend of developers claiming to never write code anymore, questioning how this approach scales effectively.

  2. For debugging and triage work, manually implementing simple fixes often takes less time than prompting an AI, waiting for plans, evaluating them, and validating the implementation.

  3. The developer suggests offloading triage and diagnosis tasks to AI might be more practical than fully automating the entire coding process, especially on legacy brownfield projects.

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