Why Learning to Code Remains a Worthwhile Endeavor in the Age of AI

The once ubiquitous mantra, "learn to code," has largely faded from Silicon Valley discourse, replaced by discussions of AI's transformative impact on software development. With large language models (LLMs) now capable of generating significant portions of code, many question the relevance of traditional programming education. However, a growing perspective argues that coding remains a profoundly valuable skill, not just for vocational purposes, but as a fundamental intellectual pursuit that cultivates critical thinking and creative expression, regardless of the evolving technological landscape.

What happened

Recent discussions highlight a shift in the perceived value of learning to code. The idea of programming as a guaranteed, quick path to a six-figure salary is no longer universally true. Instead, experts suggest that while AI is increasingly prevalent in developer workflows, it primarily serves to augment human capabilities rather than replace them entirely. Companies like JetBrains, for instance, are cautiously integrating AI features into their educational platforms, recognizing both the potential benefits and drawbacks for novice programmers. The emphasis is on understanding how these tools help and hurt learners, suggesting a need for a deeper, not shallower, grasp of programming fundamentals.

This re-evaluation underscores the enduring educational benefits of coding. Programming is increasingly seen as a powerful medium for learning mathematics and developing crucial meta-skills such as debugging, composition, and logic. Inspired by researchers like Seymour Papert, who envisioned "Mathland" through the LOGO programming language, proponents argue that coding provides an exploratory environment where individuals can learn complex concepts by doing. This approach not only makes abstract subjects more accessible but also instills a belief in one's ability to learn anything through structured problem-solving.

Why it matters

The continued relevance of learning to code is multifaceted. For one, while AI can generate code, skilled humans are still essential for reviewing, debugging, and taking accountability for its quality. Organizations value deep technical knowledge and experience as a form of risk mitigation in a rapidly evolving technological environment. This means that a robust foundation in programming remains critical for anyone aspiring to work in software development, even with advanced AI assistance.

Beyond vocational utility, coding is a unique form of creative expression. It combines the precision of mathematics with the creativity of writing, allowing individuals to translate imaginative ideas into functional realities. This process sharpens desires into precise language that computers can execute, enabling individuals to actively shape and contribute to the digital worlds they inhabit. Just as LLMs writing English doesn't diminish the value of humanities, AI writing code doesn't diminish the intrinsic value of programming as an intellectual and creative endeavor.

How to think about it

Approaching programming today means embracing it as a fundamental literacy, much like mathematics or literature, rather than solely a vocational skill. The core value lies in the computational thinking it develops—the ability to break down complex problems, identify patterns, and design step-by-step solutions. This way of seeing the world, through an algorithmic lens, is invaluable across many disciplines and helps demystify the digital infrastructure that underpins modern life. Focus on the intellectual growth, the problem-solving muscle it builds, and the creative power it unlocks. This perspective ensures that coding remains a worthwhile pursuit, equipping individuals with adaptable skills for an unpredictable future.

FAQ