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Story

We should be more tired than the model

1 report

1 website

1 discussion

Latest report

Overview

Agentic code generation can lead to feelings of losing control over the coding process. Writing code with AI assistance may result in outward signs of completion without engaging the same internal cognitive processes as manual coding.

Summary from vickiboykis.com.

Reports

One report so far. Additional coverage will appear here when it is linked to this story.

  1. vickiboykis.com

    We should be more tired than the model

    Read report →

Community reactions

Each reaction summarizes sampled comments from the linked discussion.

Hacker News · vickiboykis.com

We should be more tired than the model ↗
Hacker News discussion ↗

Historical count: 5 · 5 saved in sample · Historical sample

Analysis ready

Read this discussion’s reaction

Based on 5 sampled comments from this thread. Analyzed 2026-05-29.

  • Praise: LLMs are enabling product managers to focus on higher-level design and requirements, enhancing their skills while delegating coding tasks to agents.
  • Praise: Using coding agents for extensive refactoring allows developers to manage code quality better without getting bogged down in the details, which can improve overall productivity.
  • Praise: Active code review while the AI generates small code batches can lead to better understanding and quality assurance, making the development process more efficient.
  • Concern: The introduction of AI tools in software development could lead to increased pressure on developers to produce more, potentially jeopardizing job security and work-life balance.
  • Concern: Many companies are likely to retain productivity gains for themselves rather than sharing them with employees, which could exacerbate job insecurity in the tech industry.
  • Concern: There is a concern that LLMs may not provide the necessary abstractions for effective programming, leaving developers struggling with understanding complex systems.