Prompt
What platform should I use for dev tutorials and why?
Latest observation
If you mean where to publish dev tutorials (rather than where to learn them), I’d choose YouTube + a written site/blog, with YouTube as the primary platform.
My recommendation
1. YouTube — best overall
- Excellent for code walkthroughs because viewers can see exactly what you’re doing.
- Tutorials are searchable and can keep getting views long after publication.
- Particularly good for practical topics: React, Python, AI tooling, Docker, system design, etc.
- You can build an audience rather than just publishing isolated articles.
2. GitHub — make it the companion
- Put the complete code, README, exercises, and links there.
- It gives viewers something tangible to clone and experiment with.
- It also doubles as evidence of your technical ability.
3. A personal blog/docs site — for durable reference
- Better than video for commands, code snippets, troubleshooting, and detailed explanations.
- Search engines can surface individual articles for years.
- You own the content and aren't dependent on a platform's algorithm.
4. freeCodeCamp — excellent if you can get published there
- Particularly valuable for beginner/intermediate programming tutorials because of its large learning ecosystem. Current comparisons still rank it among the strongest free programming-learning resources. Free Coding Courses+1
- The audience is highly aligned with tutorial content.
If I were starting today
I'd use this workflow:
YouTube video → GitHub repo → written tutorial → short social post
For example:
YouTube: "Build a RAG app with Python in 30 minutes" GitHub: complete project + setup instructions Blog: architecture, explanation, troubleshooting LinkedIn/X/Reddit: short post pointing people to the tutorial
That gives you discovery + credibility + searchable documentation + a portfolio instead of betting everything on one platform.
If you tell me what kind of dev tutorials you want to make (e.g. AI, frontend, backend, Python, mobile, DevOps), I can recommend the best 2–3 platforms specifically for that niche.
Citations
- https://freecodingcourses.com/guides/best-free-coding-courses-2026
- https://scrimba.com/articles/best-free-coding-websites-and-resources-2026/
- https://ofqtech.com/en/blog/online-programming-learning-platforms
- https://www.devpebble.com/blog/top-programming-tutorials-in-2026/
- https://freecodingcourses.com/guides/freecodecamp-vs-udemy
- https://elementor.com/blog/learn-to-code-for-free/
- https://www.iankwatkins.com/posts/top-10-learn-to-code-platforms/
- https://idarb.com/2026/05/23/best-free-coding-platforms-beginners-2026/
- https://labhub.hopto.org/blog/culture/2026-05-16-online-learning-platforms-developers-2026-freecodecamp-frontend-masters-total-typescript-epic-web-bytebytego-inflearn-deep-dive?lang=en
- https://scrimba.com/articles/best-freecodecamp-alternatives-for-learning-to-code-2026/
- https://www.coursefacts.com/guides/freecodecamp-vs-udemy-2026
- https://www.coursefacts.com/guides/free-vs-paid-online-courses-2026
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
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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.
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