← The AI Hype Audit — all 256 verdicts

PARTLY "Claude can build this, but it's never gonna design this" — a fair point wearing an unfair word: 'never' Facebook · Aug 12, 2026

The claimBlack-slide video: "7 GitHub Repos = Master AI Engineering" listing 1/ Awesome Artificial Intelligence, 2/ Awesome LLM Apps, 3/ 100 Days of ML Code, 4/ System Prompts and AI Tools, 5/ AI Agents for Beginners, 6/ Microsoft Gen AI for Beginners, 7/ Learn Agentic AI; "Comment 'AI' for all Repo Links". Caption: "Comment "AI" for all links. Master AI Engineering using GitHub repos. Save it & follow for more." Posted July 24 2026; 191K views, ~2K likes, 529 comments, 322 shares.

All seven repos exist and are public, so no comment is needed. GitHub API counts on Sep 2 2026: owainlewis/awesome-artificial-intelligence 16,309 stars (a link list started 2015); Shubhamsaboo/awesome-llm-apps 135,806 (100+ runnable open-source agent and RAG apps, Apache-2.0); Avik-Jain/100-Days-Of-ML-Code 51,702 (last push Dec 2023, dormant); x1xhlol/system-prompts-and-models-of-ai-tools 143,304 (the slide's title is wrong; this is a dump of extracted proprietary system prompts from Cursor, Devin, Claude Code, Lovable and others, with a "LeaksLab Discord" badge and crypto donation addresses); microsoft/ai-agents-for-beginners 73,784 (18 lessons); panaversity/learn-agentic-ai 4,351 (course material for a paid Panaversity certification, last push Oct 2025). Slide 6 says "Microsoft Gen AI for Beginners" (microsoft/generative-ai-for-beginners, 119,041 stars, 21 lessons) but shows the sketchnote from microsoft/AI-For-Beginners (67,980 stars, 24 lessons), a different course. The verb is the lie. Two are link lists, three are beginner curricula, one is a leaks archive, and none includes a project you ship, feedback, or a portfolio, which is what employers mean by AI engineering. Meta's own help center defines comment baiting as "asking people to comment with specific answers: words, numbers, phrases or emojis" and says such posts "will receive less distribution".

What holds up

  • All seven repos are real and public; combined star counts exceed 540,000 as of Sep 2 2026 via api.github.com.
  • The two Microsoft courses and Awesome LLM Apps are genuinely strong free starting points, with runnable code and structured lessons.
  • The caption never claims the links are paid or exclusive; the price is only the comment.

What doesn't

  • 'Never' is unsupportable — current Claude produces coherent, sometimes distinctive visual design today; the gap is context, not capability
  • The slick site used to 'prove' human superiority is exactly what AI produces unassisted — and viewers can't verify it wasn't AI-assisted
  • Soft self-interest: it's authority content from a designer whose livelihood the claim defends
  • The build-vs-design binary is already stale — the real 2026 split is AI defaults vs human-directed AI output, and the winners use both

The catch

Every one of these links is a Google search away, so the only thing the comment buys is reach for the page. The repos are real; the promise stapled to them is not.

How to actually do it

  • Pick one course, not seven: microsoft/generative-ai-for-beginners (21 lessons) or microsoft/ai-agents-for-beginners (18 lessons), both free, and finish it.
  • Then build one thing for your own business from Shubhamsaboo/awesome-llm-apps, deploy it, and write down what it cost and what it saved; that is the portfolio line.
  • Skip the system-prompt dump unless you are studying prompt design; do not paste a competitor's extracted prompt into a product you sell.

Repos real, verb false; do one Microsoft course and ship one small app instead of collecting links.

Effort
A brief takes an hour; it's the highest-leverage hour in the whole build
Cost
$20/mo DIY-with-taste; a few hundred to ~$2K for AI production + human direction; $3K–15K+ for full human design
Stack
A real brief + Claude for production + a human on intent
Confidence
Medium
Posted by
a working UX designer posting opinion commentary, no product

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