"Visual IDEs vs CLIs: For documentation, visual IDEs (like Antigravity or Cursor) are preferred over CLI tools because writers need to see the diffs and iterate conversationally, whereas CLI tools are often better for pure code generation.
The “good base” requirement: AI tools like Claude can generate 70% complete drafts when provided with rich context, but this relies heavily on having a strong, existing foundation of documentation to “seed” the model or RAG system.
Documentation theater: Auto-generated “code wikis” can create a dangerous illusion of documentation (“documentation theater”)—they capture the what and how from code but miss the critical why and product appraisal that users need.
Transparency dilemmas: While disclosing AI usage promotes a culture of learning and honesty, it risks being misinterpreted by leadership as “push-button” work, potentially devaluing the human effort involved in prompting, refining, and verifying.
The review bottleneck: AI accelerates content generation but exacerbates the review bottleneck. To manage this, use “dumb robots” (linters) for basics and “smart robots” (AI) for initial reviews, and maintain strict PR hygiene (small, manageable changes).
Redefining productivity: Traditional metrics like PR counts are misleading in an AI world where volume is cheap. True productivity should be measured by the value delivered—unblocking teams, enabling contributions, and focusing on strategic architecture rather than just “plumbing” fixes."
https://idratherbewriting.com/blog/podcast-episode-3-documentation-theater-acceleration-paradox
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