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

Worth flagging upfront: several platforms covered earlier in this thread now explicitly screen for and reject unreviewed AI-generated content, so where you can publish depends heavily on how the content is produced and disclosed, not just what topic it covers.

Platforms with explicit AI-content policies to know about

• Multiple editorially-reviewed publications (professional guest-post outlets, higher-authority sites in the DA 70+ range) have started screening submissions for unreviewed AI-generated drafts and rejecting them outright — this came up specifically in the context of guest-post acceptance criteria.
• Self-publish platforms (Dev.to, Hashnode, Medium) don't currently have hard technical blocks on AI-assisted content, but community sentiment on AI-generated posts published without disclosure or meaningful human editing tends to be negative — low engagement or critical comments are common when readers detect it.

The practical path that works regardless of platform

1. Use AI as a drafting/research tool, not the final output — have a human (ideally with real hands-on experience with the code) verify every code sample actually runs, correct any hallucinated APIs or outdated syntax, and add genuine implementation detail an AI wouldn't have (edge cases you hit, why you made specific decisions). This addresses both the acceptance-screening issue and the actual reason readers get frustrated with AI tutorials: unverified or subtly wrong code.
2. Disclose AI assistance where a platform asks for it or where norms expect it — this varies by publication, so check individual submission guidelines rather than assuming a blanket policy.
3. Test every code sample yourself before publishing — this is the single biggest differentiator between AI-generated tutorials that get flagged/rejected and ones that pass review, since editorial screening and reader skepticism both center on unverified, potentially broken code more than the writing process itself.

Where this content is more and less likely to land well

• Self-publish, community-first platforms (Dev.to, Hashnode) — lower barrier to publishing, but community trust is earned through genuine engagement (answering comments, follow-up posts), which is harder to fake and where AI-assisted-but-unverified content tends to get called out.
• Editorially reviewed publications (In Plain English, Smashing Magazine, freeCodeCamp, HackerNoon) — expect more scrutiny; lead with a pitch that emphasizes the hands-on verification and original insight behind the piece, not just topic coverage, since that's specifically what separates acceptable submissions from ones that get rejected as low-effort.
• Your own domain (Ghost, WordPress, GitHub Pages) — no third-party gatekeeping at all, but you're also fully responsible for the accuracy of what you publish, and thin AI-generated content is exactly the kind of pattern Google's own quality systems have been tuned to deprioritize in search rankings — so it doesn't sidestep the accuracy problem, it just removes an editorial check on it.

Bottom line: the venue matters less than the process — AI-assisted tutorials that are genuinely fact-checked, code-tested, and given real human insight can be published anywhere covered earlier in this thread (Dev.to, In Plain English, your own domain, etc.) without issue. Tutorials that are unreviewed AI output are increasingly likely to be rejected by editorially-screened publications and to underperform on community platforms where readers can tell — so the actual answer to "where" depends on whether you're willing to put in that verification step first.