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The Human-in-the-Loop Is Tired

Blog by Pydantic • Laura Summers

What it is — An essay arguing that LLM-assisted coding boosts output while quietly eroding developer satisfaction, as the job shifts from writing code to endlessly supervising and reviewing it.

Key points

  • The old reward loop (solve a problem, watch it compile) is gone; developers now mostly review machine-generated code, which is less satisfying even when it's faster.
  • Running several AI sessions at once tempts an endless "one more iteration," stretching work hours without a matching gain in satisfaction.
  • Draws a parallel to the responsive-design shift: the skill isn't disappearing, it's moving toward architectural judgment and taste for quality-gating higher volumes of output.
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Added to the archive by Adam Tomat from #ai-dev · 16th Jul 2026

Curated from the AI Chinwag Slack community.