GoKawiilEssay: AI-Generated Docs and Messages Are Becoming Unreadable, Says Developer
A software professional describes a growing trend where colleagues use AI to retroactively generate design documents, pull request summaries, tickets, and even personal messages after work is already done. The writer argues these AI outputs are technically detailed but lack context, perspective, and human judgment, making them exhausting and frustrating to read despite AI's usefulness for improving writing speed and quality elsewhere.
GoKawiil's interpretation of the reporting above, not reported fact.
As AI writing tools become ubiquitous in workplaces, this reflects a broader tension between efficiency and communication quality—documents meant to build consensus or convey nuance are being replaced by exhaustive but context-free machine summaries. This risks eroding the human judgment and shared understanding that written communication is supposed to create in teams.
- AI is increasingly used to retroactively summarize completed work rather than to plan or build consensus beforehand.
- Machine-generated pull requests, tickets, and documents often lack context, prioritization, or clear guidance on where human input is needed.
- Even personal, sensitive communications workshopped with AI can end up feeling impersonal and disjointed despite being well-structured.
Source: blog.colinbreck.com — Sep, 2026-09-21
Published there as: “I don't want to read what you didn't write”
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