The Worst Career Advice Right Now: “Don’t Learn to Code”

Key Takeaways

• AI tools can generate code, but they still need human input and judgment.
  
• Learning front-end code improves your prompts, debugging, and creativity.
  
• HTML, CSS, and JavaScript give you full control over digital experiences.
  
• “Vibe coding” with AI works best when you understand the code behind the scenes.
  
• Platforms like Lovable and Adalo are more powerful when paired with coding skills.
  
• Treehouse remains one of the best ways to start learning in 2025.

Why AI Experts Still Recommend Learning to Code

Andrew Ng, founder of DeepLearning.AI and one of the world’s most influential AI researchers, recently took to LinkedIn to challenge the idea that coding is dead.

“Some people today are discouraging others from learning programming… This advice will be seen as some of the worst career advice ever given.” — Andrew Ng

He compared this moment in tech to the shift from punch cards to keyboards in the 1960s—not the death of programming, but its acceleration.

“As coding becomes easier, more people should code, not fewer.”

Coding isn’t just a technical skill—it’s how you get the most out of AI. It helps you prompt better, debug faster, and turn your ideas into real digital products.

The Myth: AI Makes Coding Obsolete

Today’s tools are faster and flashier than ever. You can:

• Ask ChatGPT to generate code in plain English
  
• Build polished UIs visually with Lovable
  
• Launch entire apps and web experiences using no-code platforms like Adalo, built for speed and visual development.

So… why bother learning to code?

Because these tools don’t remove the need for code—they amplify its value. If you can understand and tweak what AI gives you, you become more than a user. You become a creator.

AI Doesn’t Replace Coders—It Supercharges Them

AI can help generate code, but it’s your coding skills that make that output usable, reliable, and refined. Here’s how knowing HTML, CSS, and JavaScript takes AI-assisted development to the next level:

1. You Write Better Prompts

The quality of AI output is only as good as the prompt you give it. When you understand front-end code, you can describe exactly what you want.

Example:
Instead of saying “Make it look modern,” you might say:

“Use flexbox to create a two-column layout with a sticky header and 24px padding. Style with system fonts and a light theme.”

This kind of clarity leads to cleaner, more accurate results and saves you time revising bad code.

2. You Debug Faster When AI Fails

AI often generates code that looks good but breaks under pressure—especially on mobile, in edge cases, or when integrated with other systems.

When you know how HTML, CSS, and JavaScript work, you can:

• Use browser DevTools to inspect and diagnose issues
  
• Fix layout problems and responsiveness bugs
  
• Avoid delays waiting for someone else to patch the code
  

In short, you’re self-reliant.

3. You Customize Without Limits

No-code and AI tools are great for standard use cases. But when you need something custom—like analytics tracking, advanced animations, or accessibility tweaks—only code can deliver.

With front-end knowledge, you can:

• Inject custom JavaScript for tracking or interactivity
  
• Control how animations behave based on user input
  
• Optimize for accessibility (ARIA roles, keyboard navigation)
  
• Fine-tune performance and load times
  

You’re not boxed in by templates or tool limitations.

Vibe Coding Makes More Sense If You Can Code

In 2025, Andrej Karpathy (former Director of AI at Tesla and a key figure at OpenAI) popularized a new style of development: vibe coding.

It’s a fast, creative, AI-assisted approach to building software. You provide the vision; the AI generates the code.

“Fully giving in to the vibes, embracing exponentials, and forgetting that the code even exists.” — Karpathy

But vibe coding only works well when you understand what the AI is doing.

Why Vibe Coding Works Better When You Know HTML, CSS, and JS

Even with AI doing the heavy lifting, your coding knowledge still matters. Here’s why:

• You Prompt with Precision: You can describe layout and behavior in ways the AI understands.
  
• You Debug What AI Gets Wrong: You can fix layout bugs and bloated code.
  
• You Refactor for Quality: You know what to keep, clean, or rewrite.
  
• You Add the Finishing Touches: You polish animations, font scaling, and accessibility.
  

You Stay in Creative Control: You don’t rely blindly on AI decisions—you guide them.

Getting Started: Learn to Code in 2025

All it takes is a structured path, consistent practice, and real-world projects.

Treehouse Techdegrees

Treehouse Techdegrees offer job-focused learning for aspiring developers. Each track includes step-by-step projects, professional code reviews, and a portfolio you can share with confidence.

Built for beginners and career changers, Techdegrees provide the structure, support, and accountability needed to develop real coding skills.

Final Takeaway

AI is making software development easier—but it’s not replacing developers. It’s empowering them.

Learning HTML, CSS, and JavaScript isn’t about doing everything manually. It’s about unlocking your creative and technical potential—so you can build smarter, faster, and better.

FAQs

Is HTML still worth learning in 2025?
Yes. HTML remains the foundation of every web experience—AI, CMS, and no-code tools still rely on it behind the scenes.

What is vibe coding?
Vibe coding is a fast, AI-assisted development style where the human directs the creative flow while the AI handles structure and repetition.

Can AI tools replace developers?
No. They assist with speed and scaffolding but still require your judgment, customization, and problem-solving.

Does coding help when using AI?
Absolutely. Coding knowledge helps you prompt more effectively, catch issues faster, and push AI results further.

Start Learning with Treehouse

Treehouse offers interactive lessons in HTML, CSS, and JavaScript—perfect for anyone building with or alongside AI.

👉 Start learning now at Treehouse