DEV Community

Cover image for Why We Code Like Legends and Communicate Like NPCs: The Programmer’s Paradox
High Octane
High Octane

Posted on

Why We Code Like Legends and Communicate Like NPCs: The Programmer’s Paradox

In the world of programming, we’re known for writing code that changes industries, solving complex problems, and creating solutions that empower millions. We debug, troubleshoot, and innovate in ways that might even make Tony Stark jealous. But when it comes to actually explaining what we’re doing, well… it’s a bit of a different story. Often, programmers are incredible at building solutions but are ironically, a little less skilled in communicating about them.

This gap between code and communication isn’t just a minor inconvenience; it’s a genuine challenge in tech. From misunderstandings with product managers to leaving non-technical colleagues scratching their heads, our communication can sometimes sound as robotic and repetitive as a video game NPC on autopilot. So why is it that we code like legends, yet communicate like NPCs? Let’s break down the causes, consequences, and some strategies to bridge this gap.


1. Our Language Isn’t Their Language: The “Jargon Overload”

Programmers have a rich vocabulary that’s loaded with technical terms, acronyms, and syntax-specific words. When we talk, it often feels like we’re speaking an entirely different language. To the untrained ear, it can sound like:

“I’m implementing a RESTful API with JWT authentication for secure token exchange in a decoupled microservices architecture.”

While this may sound perfectly normal to another dev, it’s complete gibberish to someone without a background in software. And it’s not just about terminology—the thought processes behind programming are different, too. We’re wired to think in terms of logic and abstraction, which can feel impenetrable to others.

  • Solution: Practice translating technical ideas into plain language. Think of it as an opportunity to simplify. Using analogies or examples from daily life can make abstract concepts more relatable and give people a mental “bridge” to follow your logic.

2. Our Brains Love the “Build, Fix, Repeat” Cycle

Programmers thrive in problem-solving mode. We encounter issues, solve them, test our solutions, and repeat. This repetitive cycle sharpens our focus on logical structure and technical precision. But effective communication doesn’t work on this cycle. It needs context, patience, and a bit of storytelling. Explaining a process requires more than just saying, “It works now.” We need to describe the problem, solution, and context—and why it matters.

In programming, we’re rewarded for directness, efficiency, and correctness. In communication, these traits alone aren’t enough. This gap often leaves our explanations feeling dry, overly technical, or just plain hard to understand.

  • Solution: Think of explanations as user stories. Just as user stories bring human context to technical features, practice communicating the “why” and “how” behind what you’re doing. Share your thought process, goals, and the impact, not just the steps you took.

3. The Introversion Factor: Why Silence Isn’t Always Golden

Programming naturally attracts a lot of introverts who find joy in solving problems solo. We’re used to thinking deeply, spending hours in focused concentration, and often prefer working independently to reach solutions. Communication doesn’t always come naturally to introverts, especially when it involves explaining complex ideas in real time.

For programmers who are more introverted, explaining things can feel like an interruption rather than a core part of the work. This reluctance to speak up can leave our colleagues with the impression that we’re robotic or detached, when really, we’re just comfortable in the silent grind.

  • Solution: Practice active communication in small doses. Set aside a few minutes at the beginning or end of each meeting to clarify your work, answer questions, or simply describe your process. This intentional communication will help bridge the gap between introversion and teamwork.

4. Coding Teaches Us Logic; Communication Needs Empathy

When coding, we learn to think in terms of logic, efficiency, and accuracy. But communication requires a mix of logic and empathy, which isn’t something most programming languages emphasize! When we talk to non-developers, they need us to empathize with their perspective, not just lay out a logical explanation.

Explaining code requires seeing the audience’s point of view. We need to gauge their knowledge level, understand their concerns, and adapt our communication style to meet them where they are. But because we spend so much time in the logical world, empathy in communication can feel like a foreign concept to us.

  • Solution: Consider your audience before you dive into technical details. Think about what they need to know, not just what you want to say. Start with a high-level overview and slowly add details as needed, checking to ensure they’re following along.

5. The “Maker’s Schedule” vs. “Manager’s Schedule” Dilemma

Programmers work in long, deep-focus blocks—known as the “maker’s schedule.” It’s not easy to transition from that focus-intensive mode into a spontaneous conversation with a manager or team member who works on a “manager’s schedule,” where frequent check-ins and quick updates are the norm.

The maker’s schedule allows for uninterrupted time to dive deep into complex code. Meanwhile, those working on a manager’s schedule may expect quick, concise updates to keep projects on track. This mismatch in work rhythms can make our communication feel brief, curt, or detached, creating misunderstandings.

  • Solution: Carve out dedicated time for communication. Schedule regular check-ins where you can provide thoughtful, well-prepared updates. This allows you to adapt to the manager’s schedule without constant interruptions, and gives you a chance to prepare meaningful explanations.

6. We Love Precision—But Communication Loves Ambiguity

Code needs to be exact, with no room for error. But real-world communication often includes vagueness, assumptions, and context that can’t be easily quantified. This can be frustrating for programmers who are used to getting straight to the point and expecting everything to “just work.”

This insistence on precision can make our explanations overly detailed or complex, losing the audience in the process. On the other hand, when we try to keep things short, we risk omitting context that makes the explanation meaningful to non-technical listeners.

  • Solution: Find a balance between precision and simplicity. Start with a general overview, then gradually add details if your listener asks questions. Remember, you don’t have to explain everything at once—introducing details gradually allows for a clearer, more digestible conversation.

7. We’re Constantly Learning New Languages (But Not Human Ones)

Programmers are often fluent in multiple programming languages, and we spend our days thinking in terms of syntax, function calls, and error handling. But while we’re great at understanding languages like Python, JavaScript, and Rust, we’re not often trained to “speak human.”

Human communication is messy, nuanced, and often vague—qualities that we’re taught to avoid in coding. The more time we spend thinking in machine code, the less comfortable we become with the inherent messiness of human language, leading to robotic or overly formal interactions.

  • Solution: Practice “human syntax” as diligently as you practice coding syntax. Join discussions, give presentations, or participate in pair programming sessions where you explain your thought process out loud. These experiences help you get comfortable with the informal side of communication.

8. The Myth of “Self-Documenting Code”

Programmers are often told that code should be “self-documenting,” meaning that variable names, functions, and structures should make sense without additional comments. While this is a great goal, it doesn’t mean we can forego all explanations. If a project is complex enough to require a team, it’s complex enough to need verbal communication!

The myth of self-documenting code can lead us to under-communicate, leaving non-developers in the dark about what we’re doing. Even if the code itself is clear, the overall objectives, risks, and implications may not be.

  • Solution: Strike a balance between concise comments and clear documentation. When communicating, don’t assume that “self-explanatory” code explains itself. Briefly touch on the big picture and key decisions to give non-technical stakeholders context.

9. Communicating Like a Pro (Yes, Even If You’re a Dev)

Becoming a better communicator doesn’t mean sacrificing technical prowess. If anything, strong communication amplifies your effectiveness as a developer. Here are some actionable tips to get started:

  • Use Visual Aids: Diagrams, flowcharts, and graphs make complex ideas accessible. Use visuals to simplify your explanation, especially for non-developers.
  • Master the Art of Summarization: Summarizing complex ideas is a skill that takes practice but can make a huge difference in your communication style. Give an overview first, then dive into details if needed.
  • Ask for Feedback: After a presentation or meeting, ask for feedback on how clear your explanations were. Constructive criticism is invaluable for developing your communication skills.

Conclusion

The paradox of coding like legends but communicating like NPCs isn’t inevitable. With a few changes in approach, programmers can master the art of clear, effective communication. It’s about more than just explaining what we’re doing; it’s about making our work accessible to others, sharing our thought processes, and collaborating smoothly.

At the end of the day, the most powerful programmers aren’t just the ones who can write flawless code but the ones who can communicate their ideas to everyone, regardless of technical background. So let’s step out of our code cocoons and into a more connected, communicative world—one clear explanation at a time.

Top comments (0)