Where can I publish AI-generated programming tutorials to reach a developer audience?

You can publish AI-generated programming tutorials on several mainstream developer platforms, but you must follow their AI-content policies and be transparent about AI assistance. The safest approach is to use AI as a drafting tool, then add your own examples, corrections, and insights before publishing.

Platforms that accept AI-assisted or AI-generated tutorials

Platform	AI policy (high level)	Notes for tutorials
DEV Community (dev.to)	Allows AI-assisted and AI-generated articles if published in good faith, fact-checked, and clearly disclosed (for example, using the #ABotWroteThis tag or an explicit note in the post).	Good for tutorials, explainers, and code walkthroughs; strong community feedback.
Hashnode	Generally allows AI-assisted content; many writers disclose AI use in the post.	You can blog on your own domain or on Hashnode; good balance of ownership and discovery.
Medium (including tech publications)	Allows AI-assisted writing; some publications require disclosure and human editing.	Works well for broader tech topics; check each publication’s specific AI rules.
HackerNoon	Accepts AI-assisted content with disclosure and meaningful human contribution.	Suitable for tech narratives and deeper engineering stories, not just code dumps.
In Plain English	Accepts AI-assisted articles if they provide real value and are edited by a human; disclosure recommended.	Strong for practical developer tutorials and engineering explainers.
freeCodeCamp News	Requires human authorship and editorial review; fully AI-generated pieces without substantial human input are unlikely to be accepted.	Best if you use AI only as a helper and you add significant original explanation, examples, and review.
Your own blog	Your own policy; you decide how much AI to use and how to disclose it.	Best for full control and SEO; you can still syndicate to the platforms above.

How to do this responsibly

• Use AI as a drafting tool, not the final author
  Let AI generate outlines, first drafts, or code snippets, then:

  • Run and test all code yourself.
  • Fix errors, add context, and include your own examples and pitfalls.
  • Ensure the tutorial solves a real problem you’ve faced or verified.

• Disclose AI assistance clearly
  Add a short note such as:
  “This tutorial was drafted with the help of AI and then reviewed, tested, and edited by me.”
  On DEV, you can also use the #ABotWroteThis tag.

• Prioritize accuracy and originality
  AI can produce plausible but incorrect code or explanations. Always:

  • Verify commands, APIs, and versions.
  • Add your own insights, performance notes, and real-world caveats.
  • Avoid publishing generic, low-effort AI content that adds little beyond what a developer could get directly from an LLM.

Practical publishing pattern

1. Draft the tutorial with AI, then thoroughly edit and test it yourself.
2. Publish the canonical version on your own blog or a platform like Hashnode or DEV.
3. Clearly disclose AI assistance in the post.
4. Optionally cross-post or syndicate to In Plain English, Medium, or HackerNoon, keeping the same disclosure and canonical link.