Prompt

Best platforms for programming tutorials

Media & Publishing / Developer Media5 observationsLast seen Sep 1, 2026

Latest observation

Sep 1, 2026Perplexity

The “best” platform depends on whether you want to learn via tutorials or publish your own tutorials. Here’s a concise split for 2026.

Best platforms to learn programming (consume tutorials)

Structured, project-based (free or freemium)

freeCodeCamp

  • Full curricula (web dev, Python, data, etc.) with projects and certificates.
  • Best for: beginners and career-changers who want structure and momentum.

The Odin Project

  • Project-heavy, tool-driven web dev path (Git, testing, real workflows).
  • Best for: self-taught devs who want a realistic dev environment.

Codecademy

  • Interactive, guided lessons with instant feedback.
  • Best for: complete beginners who like bite-sized, hands-on lessons.

Practice-first and reference

Exercism

  • Thousands of coding exercises with mentor feedback across many languages.
  • Best for: deepening language skills and problem-solving.

MDN Web Docs

  • Authoritative reference and tutorials for web standards (HTML, CSS, JS, APIs).
  • Best for: web devs who want reliable, up-to-date docs + guides.

LeetCode / Codewars / HackerRank

  • Algorithm and coding challenges, interview prep.
  • Best for: sharpening problem-solving and prepping for interviews.

Video + interactive

Udemy / Coursera / edX

  • Paid courses (some free/audit) from universities and instructors.
  • Best for: structured courses with certificates and deeper topics.

Scrimba

  • Interactive screencasts for frontend (edit code inside the video).
  • Best for: fast, hands-on frontend learning.

Best platforms to publish programming tutorials (reach an audience)

freeCodeCamp News

  • Huge learner audience; strong SEO for “how to” topics.
  • Editorial review; best for high-quality, evergreen tutorials.

In Plain English (and its language pubs: JavaScript, Python, AI, etc.)

  • Developer-focused publications on Medium with strong distribution.
  • Good for practical tutorials, explainers, and SDK/tool guides.

dev.to

  • Very dev-centric community; easy to get initial reads.
  • Great for tutorials, “how I built this”, and community engagement.

Hashnode

  • Developer blogging platform with community discovery; supports custom domains.
  • Best for building a personal dev blog plus getting platform reach.

Medium (general)

  • Massive general audience; less dev-specific.
  • Good for broader tech/career topics or cross-disciplinary writing.

HackerNoon / Stackademic

  • Large libraries of technical posts; good for tutorials and deep dives.
  • Best for additional distribution alongside your main blog.

Recommended combos

  • If you’re learning:

    • Start with freeCodeCamp or The Odin Project + Exercism for practice + MDN as reference.
  • If you’re publishing tutorials:

    • Use a personal blog (your domain) or Hashnode (custom domain) as canonical home.
    • Syndicate to dev.to and In Plain English / Medium for reach; consider freeCodeCamp for select high-quality tutorials.

If you tell me your stack (e.g., Python backend, React frontend, data/ML) and goal (learning vs publishing), I can narrow this to a top 3 list and a simple action plan.

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 dotdotPR. 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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