🤖 AI & Software

A great novel can be written in any language—just like great programs

By Maya Patel6 min read
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A great novel can be written in any language—just like great programs

Mastering coding, like storytelling, is less about the tools you use and more about dedication, craft, and finding the right inspiration.

In the world of literature, a great novel can be crafted in any language. The craft relies less on whether it's written in English, Spanish, or Mandarin and more on whether the story engages, moves, or impacts its audience. Similarly, in the realm of programming, the value of a project doesn’t lie in whether it’s written in Python, JavaScript, or Rust, but in the thoughtfulness of its design, the effectiveness of its execution, and the dedication of its creator.

The essence of craft over tools

The comparison between storytelling and programming is more than poetic parallelism—it’s a guiding principle for programmers learning their craft. Just as a novelist uses a language merely as a medium for unfolding their ideas, a programmer employs programming languages and frameworks as tools to execute concepts. It’s never entirely about which tool you use; it’s about how you use it.

This idea resonates with many in the tech world who’ve come to realize something liberating: no language or framework is inherently superior for creativity. Even if certain languages are better suited for particular contexts (Python for data science, JavaScript for web development), mastery and success arise from how effectively one wields these tools rather than from their intrinsic superiority.

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The myth of the best programming language

When newcomers enter the world of coding, a common question arises almost immediately: what is the best programming language? The answer is less definitive than one might expect. Much like there isn’t a "best" language for writing novels, there isn’t a universal "best" for coding. Each language has its strengths, weaknesses, and optimal contexts, but none is inherently better at turning a programmer into a skilled developer.

What seasoned programmers emphasize instead is the importance of choosing a single language, understanding its syntax, practice repeatedly, and sticking with it long enough to learn its nuances. In the end, it is the concepts and structures underlying all programming—logic, problem-solving, debugging—that matter more. Once you master those, switching languages is the easy part.

Learning to program: persistence is key

For both storytellers and coders, the real magic lies in persistence. A great author spends years shaping their craft, writing and rewriting their manuscript. Similarly, great programmers spend thousands of hours experimenting, debugging, and refining their projects. Success comes not from a mythical perfect course or triumphant tutorial, but from dedication and enduring a ridiculously long learning curve.

This is a sentiment echoed widely in the programming community. Beginners are often overwhelmed by the plethora of resources available—and some stop too early, frustrated by perceived inefficiencies in their chosen path. Yet, there is no universally perfect programming course, tutorial, or teacher. What matters is consuming the right information at the right time, in the way that works best for each individual, and sticking with it consistently.

Choosing the "right information"

One significant challenge for individuals delving into programming is the staggering amount of educational content available. From free YouTube tutorials to coding bootcamps with hefty price tags, deciding where to get started can feel daunting. The key, however, lies in discernment and adaptability: start with something that guides you enough to build foundational confidence and pivot to more tailored resources as your skills evolve.

Programming, like writing, is a deeply personal journey. Just as authors find their voice through trial, error, and influences, coders discover their groove by trying new languages, exploring unfamiliar libraries, and integrating knowledge across various sources. No single book or course contains every answer, but they may offer a critical piece of the puzzle.

Dedication bridges the gap

Frankly, the most successful coders aren’t those who obsess over selecting the perfect tech stack right out of the gate. What sets them apart is their willingness to invest time consistently. Small incremental efforts compound over time, leading to a wealth of knowledge and skill. In the same way that a novelist might wake up every day to write 500 words toward their unfinished opus, a committed programmer dedicates time daily or weekly to grapple with new challenges.

The discipline to learn—despite setbacks, bugs, or failed experiments—is arguably the defining factor in any programmer’s success. Sticking with any process long enough produces results. It’s essential to focus less on shortcuts and solutions promising quick mastery (spoiler: they rarely work) and more on sustainable, regular practice.

The broader takeaway: it’s about the story

Ultimately, whether you’re writing a novel or programming software, the goal is the same: you’re crafting something to solve a problem, share an idea, or engage an audience. The specifics of how you do it—novels in French or programs in Ruby—matter far less than the ultimate craft of what you create.

For programmers, this should be seen as both a challenge and an opportunity. The challenge lies in the patience required to truly hone your skillset without being distracted by shiny new languages, frameworks, or trends. The opportunity is in the freedom this realization brings: you don’t have to master every language; you don’t need the "perfect" starting point. You need the right tools for you and, more critically, the persistence to see it through.

Programming, much like storytelling, demands time—time to grapple with concepts, encounter obstacles, and eventually overcome them. The process may not be easy, but like writing, it’s a journey where the rewards far outweigh the struggles, provided that you stick with it long enough to see your "novel" come to life.

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Maya Patel

Staff Writer

Maya writes about AI research, natural language processing, and the business of machine learning.

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