Prompt

Where do developers actually publish programming tutorials, and what works best?

Media publishing / Developer media5 observationsLast seen Oct 2, 2026

Latest observation

Oct 2, 2026ChatGPTWeb search: on

If you mean “where should I actually publish tutorials as a developer?”, there are a few distinct channels, and they serve different purposes.

PlaceBest forMain advantage
Your own site/blogLong-term tutorial libraryOwnership + SEO + portfolio
HashnodeTechnical tutorialsDeveloper-focused, custom domains, SEO/canonical support
DEV CommunityPractical tutorials + discussionBuilt-in developer audience
MediumBroader tech audienceLarge general readership
Stack OverflowSpecific problems/how-tosSearchable, problem-oriented technical audience
GitHubCode accompanying tutorialsReaders can immediately inspect/run/fork the code
YouTubeWalkthroughs and demosExcellent for visual/step-by-step material
NewsletterBuilding a recurring audienceDirect relationship with readers

Hashnode explicitly supports developer blogging, custom domains, SEO features, analytics, Markdown/code blocks, and GitHub integration. Hashnode Docs+1 Stack Overflow's current Articles format is specifically intended for broader how-to guides and practical programming problems that don't fit naturally into a single Q&A. Stack Overflow+1

What actually tends to work

The strongest setup isn't usually “pick one platform.” It's:

1. Publish the canonical version on your own domain. Make this your permanent home and portfolio.

2. Put the code on GitHub. A tutorial becomes much more useful when the reader can clone a working example.

3. Republish selectively to developer communities. Hashnode/DEV/etc. can provide discovery and discussion. If you syndicate, use canonical/original-URL mechanisms where supported; Hashnode explicitly supports canonical URLs for republished articles. Hashnode Docs

4. Turn the best tutorials into videos or short posts. One substantial tutorial can become:

  • a 10-minute YouTube walkthrough
  • a short LinkedIn/X post
  • a few code snippets
  • a GitHub example repo
  • eventually a series

More importantly: what kind of tutorials work?

The highest-value pattern is usually “I had a concrete problem → here's the working solution.”

Instead of:

“Introduction to React Hooks”

something like:

“How I stopped unnecessary API requests in a React app”

Then show:

  1. The problem
  2. A minimal reproduction
  3. The naive solution
  4. Why it fails
  5. The working implementation
  6. Complete code
  7. Common mistakes
  8. Performance/trade-off discussion
  9. GitHub repo

That format is useful because someone can discover it through a specific problem they're already trying to solve.

For a developer trying to build an audience, I'd optimize for usefulness rather than publishing volume: one genuinely useful, technically tested tutorial every week or two is more valuable than five generic “learn X” posts.

And don't underestimate search intent. A tutorial answering a very specific question—especially one involving an error message, framework behavior, migration, performance issue, or real implementation—can keep attracting readers long after publication.

A 2026 comparison of developer publishing platforms similarly finds the major trade-offs revolve around ownership, SEO, built-in developer distribution, and monetization, rather than there being one universally superior platform. daily.dev

If you're asking because you want to start publishing your own programming tutorials, tell me your stack (e.g. Python, React, Java, AI/LLMs, DevOps) and your goal (job hunting, audience, freelance leads, or eventually making money), and I can give you a concrete publishing strategy.

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (5 observations for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as Circuit. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

Want this interpreted for your brand?

Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.