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Some developers wonder whether AI will make documentation or technical blogs unnecessary. In my opinion, it won’t. AI doesn’t replace documentation — it complements it.
AI can assist with writing by offering suggestions, improving structure, and introducing related concepts. However, the results still require human review. AI can produce inaccurate or irrelevant content, and it often lacks the context that a developer or technical writer has. Human input is necessary to clean up those hallucinations and make sure the final result is accurate and useful.
My Current Process for Writing Documentation
Here’s the method I use when working on technical documentation or blog posts:
This process helps me write more efficiently, while still ensuring the documentation is clear, correct, and practical.
The Benefit for Readers
One additional benefit is that this process leads to better documentation overall — not just for the writer, but also for the reader.
As a reader, I’ve found that I don’t need to rely on AI as much when someone has already written a well-structured and thoughtful article. If a post or document is complete and easy to follow, it often answers my question directly. In that case, AI becomes optional — not a necessity — because the human-written material already does the job well.
In the end
AI is a useful tool for writing, but not a replacement. It helps speed up the process and expand ideas, but documentation still depends on human understanding, testing, and context. And when used well, the result is better-written documentation and a better reading experience.
AI can assist with writing by offering suggestions, improving structure, and introducing related concepts. However, the results still require human review. AI can produce inaccurate or irrelevant content, and it often lacks the context that a developer or technical writer has. Human input is necessary to clean up those hallucinations and make sure the final result is accurate and useful.
My Current Process for Writing Documentation
Here’s the method I use when working on technical documentation or blog posts:
- Start with a clear idea – I define what I want to explain.
- Use AI to improve my idea – I ask it for related concepts, better wording, or possible improvements.
- Review and test – I verify what AI has generated, test any code, and adjust based on what actually works.
- Publish – Once it’s accurate and clear, I publish the final version.
This process helps me write more efficiently, while still ensuring the documentation is clear, correct, and practical.
The Benefit for Readers
One additional benefit is that this process leads to better documentation overall — not just for the writer, but also for the reader.
As a reader, I’ve found that I don’t need to rely on AI as much when someone has already written a well-structured and thoughtful article. If a post or document is complete and easy to follow, it often answers my question directly. In that case, AI becomes optional — not a necessity — because the human-written material already does the job well.
In the end
AI is a useful tool for writing, but not a replacement. It helps speed up the process and expand ideas, but documentation still depends on human understanding, testing, and context. And when used well, the result is better-written documentation and a better reading experience.