If you are asking for human attention, demonstrate human effort
tombedor.dev
June 11, 2026
2 min read
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52/100
Summary
An increasing volume of debugging, documentation, and code is generated by AI, raising questions about the appropriateness of sharing AI-generated output with team members. While AI can produce valuable results through integration with internal resources, reliance on it may affect the perception of human effort in collaborative environments.
Key Takeaways
- The increasing use of AI in software engineering raises questions about the etiquette of sharing AI-generated content with teammates.
- It is considered inconsiderate to forward un-digested AI output without personal input, as it undermines the value of human effort.
- The author advocates for clearly labeling AI-generated content and adding personal commentary to demonstrate human effort when requesting attention from others.
- Maintaining a clear distinction between AI output and human contributions helps preserve the value of human attention in collaborative work environments.
Community Sentiment
Positives
- Using AI to condense information can enhance communication by boiling down complex topics to their essential points, which is often more valuable for recipients.
- AI tools can assist in generating content quickly, allowing individuals to focus on more meaningful tasks rather than repetitive writing.
Concerns
- The quality of AI-generated content often falls short of expectations, leading to frustration and a perception of lower effort in communication.
- Over-reliance on AI for generating text can result in verbose and unedited outputs, diminishing the quality of collaboration and information sharing.
