Have you wondered if it’s still worth learning to program in the world of giant language models (LLMs) that seem to be stealing the show?
Spoiler: Of course! And if you think not, it’s because someone hasn’t explained it to you properly. Give me five minutes and I’ll tell you why 2025 is not the year you should hang up your keys and blindly embrace artificial intelligence. Ready? Let’s get to it.
🔍 The (real) super powers of knowing how to program
We all know that LLM-powered tools like Cursor, Copilot and so on are like genies in a magic lamp doing magic with code, but the truth is that mastering the art of programming still has a list of advantages that not even the top AI can take away. Here they go:
-
Separate the wheat from the chaff: Learning to program allows you to detect those small (although huge) mistakes that could cost you more than you earn. Perfect automagic code does not always exist, and you can be that hero who rescues the project from falling into the void of bugs.
-
Fix what’s broken (or about to break): Come on, if you’ve tried anything generated by an AI model, you know that sometimes magic words throw sparks. The code can run, but what if something doesn’t go as you expected? If you know the basics, no one can stop you.
-
Optimize for speed: Is your code slow? Knowing how to program makes you the surgeon of performance: you adjust here, move there and voilà! Run like a Ferrari. This is vital in a world where every millisecond counts.
-
Ninja-level customization: If something generated doesn’t match 110% of what you need, you can adjust or redesign it to make it perfect (thanks, human brain!).
-
Speaking “LLM language”: Yes, these models are good, but with the right requests they are great. The more you know how to program, the better you can articulate what you want (and need).
-
Welcome to the Olympus of developers: In the job market, knowing how to generate prompts with LLM is good; but being someone who ALSO knows how the code works… well, that puts you light years ahead.
-
Giant doors to other careers: Programming is a golden key that opens paths to careers linked to AI, data science, cybersecurity and everything else that promises to dominate the coming years.
🌟 Bonus track: Because even the AI says so
Did you think that was all? Well, the great LLM models—GPT-4, Claude, Gemini and their friends—also have their hot takes on why you should still learn code. Check out these insights:
-
Visionary of the present: You will be able to decide which tasks to leave to the LLMs and which ones you prefer to do yourself. Strategy 101, friend!
-
Innovation in your hands: There are solutions so crazy creative that not even an AI model could dream of them. That’s where you come in.
-
Architect of the future: The how and why behind large and complex projects? Only someone with soft/hard human skills will be able to understand these critical decisions.
-
Security first: If something generates a model, you can guarantee that it meets security standards… instead of crossing your fingers like virtual Russian roulette.
-
Shared language: Do you work as a team with other devs? Knowing how to program makes you a true comrade in arms, not just a “prompt-dictator”.
-
The master of linguistic chameleonism: When trends change (because they will change), those who know the basics of programming will be able to quickly jump to new paradigms.
-
🔥 Learn to program: More relevant than ever in 2025
If this hasn’t convinced you yet, let’s take this journey to the critical intersection where technology and human practicality meet every day:
-
Costs vs. Intelligence: As the current technological trend mentioned at some point, giant models and their requirements will no longer be sustained forever. Small “custom” systems will take the lead. Any programmer knows this.
-
AI and Sustainability: From frenetic consumption of resources in data centers to irresponsible use of energy. Whoever can write clean, optimized and adaptive code = Dash MVP of the moment.
-
Work as a team, dream big: The ecosystem of 2025 screams for hybrid collaborators, more human than bots, highly versed in the integration between AI and classic technical knowledge.
Concluding: Programming is not just knowing exactly which button to press, but discovering yourself where to invent the next one.
So friend, are you ready to become that mix between an advanced LLM user who also thinks outside the average 0s and 1s? 🚀 2025 needs you. Now is when.