Five years ago, the advice for learning to code was straightforward. Pick a language. Follow a tutorial. Build projects. Apply for jobs.

That advice still works, broadly. But the landscape around it has changed enough that the details matter.

The AI Elephant in the Room

Yes, AI can write code. No, that doesn’t mean you shouldn’t learn to code.

Here’s why. AI coding tools are assistants, not replacements. They’re excellent at generating boilerplate, writing tests, and handling repetitive tasks. They’re poor at architecture decisions, debugging complex systems, and understanding business requirements.

The people who benefit most from AI coding tools are experienced developers who can evaluate and direct the output. Someone with no coding knowledge using AI to build software is like someone with no cooking experience directing a restaurant kitchen. The tools are there, but the judgment isn’t.

Learning to code with AI tools available is actually faster than it’s ever been. Use them as study aids. Ask them to explain concepts. Have them generate examples. But understand what the code does before you use it.

Which Language to Start With

This question has been debated for twenty years and the answer hasn’t changed much.

Python for general-purpose programming, data work, or AI. It reads like English, has massive community support, and is the most in-demand language for data-related roles.

JavaScript for web development. If you want to build websites and web applications, this is unavoidable. It runs in every browser and powers most of the modern web.

SQL if you work with data in any capacity. It’s not a programming language in the traditional sense, but knowing how to query databases is one of the most practical tech skills you can have.

Pick one. Don’t agonise over it. The concepts transfer between languages. Your first language matters less than the fact that you started.

The Free Resources Are Better Than Ever

The quality of free learning resources has improved dramatically. Some notable options:

freeCodeCamp remains excellent for web development. Their curriculum is structured, project-based, and completely free. Thousands of people have landed jobs after completing it.

CS50 from Harvard is a proper computer science course available free on edX. It’s demanding but gives you a stronger foundation than most bootcamps.

The Odin Project is comprehensive for full-stack web development. It’s community-driven and constantly updated.

YouTube channels like Fireship, Traversy Media, and Corey Schafer offer high-quality tutorials on specific topics.

Bootcamps: Worth It?

Coding bootcamps charge $10,000-$20,000 for 12-16 weeks of intensive training. Are they worth it?

It depends entirely on your situation.

If you’re disciplined enough to learn independently, free resources cover the same material. The knowledge is identical.

What bootcamps provide is structure, accountability, and (sometimes) job placement support. If you struggle with self-directed learning, a bootcamp’s rigid schedule might be worth the cost.

But be wary of bootcamp marketing. Those “95% job placement” rates are often massaged. Ask for specifics: how long after graduation, what types of roles, what salary ranges.

The Project Problem

Every coding guide says “build projects.” This is correct but unhelpful without context.

Don’t build todo apps. Don’t build calculator apps. Build something you’ll actually use.

A tool that tracks your running schedule. A script that organises your downloads folder. A simple website for a family member’s small business. Something real, even if it’s small.

Real projects force you to solve real problems. Tutorial projects follow a predetermined path. Real projects throw unexpected challenges at you. That’s where the learning happens.

The Job Market Reality

The entry-level developer job market is tighter than it was during the pandemic hiring boom. Companies are more selective. The bar has risen.

This doesn’t mean opportunities don’t exist. It means you need to be more strategic. Companies like Team400 and other tech firms are always looking for capable people who can demonstrate practical skills, not just course completions.

Build a portfolio with three to five solid projects. Contribute to open source. Have a GitHub profile that shows consistent activity. These matter more than certificates.

The Long Game

Coding isn’t a skill you learn once. It’s a practice you maintain. Languages evolve. Frameworks change. New paradigms emerge.

The fundamentals, however, are stable. Logic, problem-solving, data structures, algorithms. These haven’t changed in decades and won’t change anytime soon.

Learn the fundamentals well. Stay current on the tools. Keep building things. That’s the formula. It’s not exciting. It’s not a shortcut. But it works.