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The Spectrum of Programmers: Craft versus Results

In the world of programming, one can easily categorize every programmer into two primary types: craft-based programmers and result-based programmers. This classification isn’t as black and white as it seems—rather, it exists on a sliding scale where individuals can exhibit traits from both ends.

Understanding Craft-Based Programmers

Craft-based programmers are those who prioritize code quality and maintainability. Their main traits include:

  • A deep commitment to finding optimal solutions

  • Advocacy for tried-and-tested technologies

  • A willingness to implement solutions independently, even if it requires significant effort

  • A genuine passion for programming as a craft

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These individuals often take on roles such as open-source maintainers, low-level programmers, or code reviewers. Their selflessness and meticulous attention to detail often go unnoticed. A prime example of a craft-based programmer is Linus Torvalds, who famously expressed frustration over overly complex code, underscoring the importance of simplicity in programming.

Exploring Result-Based Programmers

Conversely, result-based programmers are more focused on the end product rather than the code behind it. Key characteristics of this group include:

  • A desire for rapid development and implementation

  • A propensity to embrace experimental technologies

  • A reliance on existing solutions rather than building from scratch

  • A passion for what the program can achieve

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These programmers frequently work within startups or as content creators, emphasizing speed over meticulous coding practices. Mark Zuckerberg, with his "move fast and break things" ethos, exemplifies this mindset, although he later adjusted his philosophy to ensure more stable outcomes.

The Debate: Which Type is Better?

The central debate surrounding these two programming philosophies often hinges on the question of superiority. In reality, there is no definitive answer, as different circumstances and projects may demand different approaches. The spectrum of programmers isn't binary; rather, it encompasses a wide range of practices and mindsets.

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At one extreme, you might find prompt engineers who prioritize efficiency above the intricacies of coding. On the opposite end, there are programmers like Terry Davis, renowned for his painstaking attention to detail, sometimes rewriting entire systems for the sake of singular users.

Real-World Examples of Conflicted Priorities

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The discussion shifts focus to real-world examples that illustrate the friction between these two philosophies. A notable case involves the service Postmark, which automates email delivery for applications. After its acquisition, users reported a drop in quality, including issues like expired SSL certificates that caused extensive downtime. This situation exemplifies a typical challenge of result-based programming, where third-party dependencies can lead to significant business ramifications.

On the other hand, the story of Netscape's development of version 5, which became version 6, highlights the pitfalls of extreme commitment to craft. Their emphasis on rewrites over incremental updates resulted in long delays, allowing competitors to eclipse their offerings during the wait.

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Finding Common Ground

Despite their apparent differences, craft-based and result-based programmers often rely on one another. When speed is vital for result-oriented developers, they benefit from the existing, battle-tested solutions crafted by their peers. Similarly, craft programmers gain valuable user feedback when result-based programmers engage with their projects, allowing continual improvement based on real-world application.

Understanding the Fluidity of Programming Paradigms

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An interesting facet of this discussion is the thought that dynamic programming languages like JavaScript, PHP, and Python could categorize programmers as more result-oriented. However, deeper scrutiny reveals how these languages leverage optimized, lower-level implementations, complicating the distinction between craft-oriented and result-oriented paradigms.

Companies like Astral illustrate this blending. By developing tools using Rust—often seen as a craft-oriented language—they create more efficient methodologies for programmers accustomed to fast-paced, result-driven environments.

Conclusion: Where Do You Fit?

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As programming philosophies continue to be debated and discussed, understanding where you personally fall within this spectrum can provide valuable insights into your programming practices and philosophy. Whether you align more closely with craft-based ideals or embrace the speed of result-based programming, both perspectives can coexist symbiotically to advance the field of software development.

Engage with your peers, share your thoughts in the comments, or reflect on your own position within this interesting duality of programming philosophies. Peace out, coders!