R&D Management 8 min read

Why Solving the Right Problem Beats Writing More Code

The article argues that developers should focus on understanding and solving real business problems rather than defaulting to writing code, illustrating this with examples like unnecessary UI for Bluetooth locks, bug‑prioritization matrices, and over‑engineered validation, and urging a problem‑first mindset.

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Why Solving the Right Problem Beats Writing More Code

Problem‑Driven Development

The classic “hammer‑and‑nail” metaphor warns developers against writing code for its own sake. A programmer’s primary role is to solve real‑world problems, not to fill a screen with characters. The 1968 NATO‑sponsored Software Engineering Conference first highlighted the growing gap between business needs and engineering effort—a gap that still exists today.

Example: a startup builds a Bluetooth‑enabled door lock that is controlled by a mobile mini‑program with an “Open Door” button. If the lock can detect a phone within one metre, the UI button is unnecessary; proximity detection can unlock the door automatically, eliminating the cost of designing and coding a visual interface. Understanding the business goal—convenient entry—allows developers to combine domain knowledge with technical possibilities and often discover that no additional code is required.

Prioritizing Bugs and Fixes

Not every defect deserves immediate attention. For a cryptocurrency exchange, tolerating a single account duplication may be more cost‑effective than deploying a heavyweight patch. A two‑dimensional priority matrix helps decide which bugs to fix first:

Y‑axis (User Impact): "One", "Some", "All".

X‑axis (Severity): "UI issue", "Inconvenience", "Non‑functional".

Priority Score: Lower numbers indicate higher urgency. Example scores: non‑functional affecting all users = 0; UI issue affecting one user = 4.

Using this model, the earlier account‑duplication case falls into the "One user, Inconvenience" cell and receives a moderate priority of 3.

Priority matrix illustration
Priority matrix illustration

When Automation Isn’t Worth It

Developers often feel compelled to script every repetitive task, but automation should add clear value. Exposing low‑level commands (e.g., raw git commands) can be more transparent than hiding them behind high‑level aliases. If the abstraction obscures essential knowledge, writing a script may be unnecessary.

Avoiding Validation Over‑Engineering

A project attempted to build an elaborate field‑validation subsystem. The feature repeatedly missed sprint priorities and, after evaluation, proved unnecessary because standard HTML5 validation already covers most cases. Edge‑case validation can be handled manually—users with invalid data simply contact support for verification.

Conclusion

When developers fully understand the problem they are solving, they can devise better solutions, sometimes without writing any code at all. Code should be treated as a means to deliver value, not an end in itself.

Original article: https://medium.com/@fagnerbrack/the-problem-you-solve-is-more-important-than-the-code-you-write-d0e5493132c6

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AutomationSoftware Engineeringproblem solvingbug prioritizationdevelopment mindset
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