The Relentless Slow Pace of Programming Change – and One Exception

Programming is often hailed as a fast-moving field, but in reality, many fundamental aspects change at a glacial pace. From the persistence of legacy technologies like COM to the enduring difficulty of basic web development tasks, the industry evolves slowly—except for one remarkable exception. This article explores the paradox of progress in programming, the bottlenecks that hold it back, and the sudden revolution brought by Stack Overflow. Dive into the questions below to understand why some things never change and why one thing changed overnight.

What makes COM an example of outdated technology still hanging on?

COM (Component Object Model) is a classic case of a technology that was already considered obsolete decades ago, yet it still lingers in production codebases. Young developers today encounter COM code written before they were born. Back when COM was new, it seemed as profound as Gödel’s theorem—impressive in theory but notoriously difficult in practice, especially for managing multithreaded objects manually. The result: a single “old programmer” becomes the only person on the planet capable of maintaining that legacy code. This sticking power illustrates how deeply entrenched technologies can remain, even when they are universally acknowledged as outdated. The reason is simple: rewriting and migrating away from COM is expensive and risky, so companies keep paying that one expert. It’s a testament to the inertia of software systems.

Why does programming change so slowly overall?

After forty years of coding, the author notes that the most significant change has been eliminating manual memory management—and even that took decades. When he returned to web development after a ten-year hiatus, he found that building a CRUD app still required about the same effort as in the VBScript era. Tasks like handling file uploads or centering elements remain surprisingly difficult. The core problem is that programming toolmakers love to add new features but hate to remove old ones. Every year, more libraries, frameworks, and patterns accumulate, each with its own trade-offs. Developers spend more time choosing the right “rich text editor” than actually implementing it. This accretion of complexity ensures that progress is incremental, not revolutionary. The “flying cars” of programming—the dramatic leaps in productivity—rarely materialize.

How did Stack Overflow break the pattern of slow change?

On September 15, 2008, Stack Overflow launched—and programming changed overnight. Just six to eight weeks earlier, it was only an idea. But soon after, it became an everyday tool for virtually every developer. Stack Overflow revolutionized the way programmers learn, get help, and share knowledge. Before, developers relied on books, forums, or mailing lists that were slow and fragmented. Stack Overflow provided a single, fast, Q&A platform where answers were crowdsourced and voted on. Its impact was immediate: within two months, it was already a standard part of every developer’s toolkit. This wasn’t just a nice addition; it fundamentally altered the learning curve of programming. The sudden shift from isolated knowledge to instant community-driven answers reduced countless hours of frustration.

What was the immediate effect of Stack Overflow on developer habits?

The launch of Stack Overflow radically changed how developers tackled problems. Instead of spending hours digging through outdated documentation or waiting days for forum replies, programmers could now ask a question and receive a high-quality answer from a global community within minutes. This speed created a new norm: if you encountered a bug or needed a best practice, Stack Overflow was the first place to look. It also made knowledge sharing massively scalable—any developer could contribute, building a repository of solutions that covered almost every common issue. As a result, the barrier to entry for new languages and frameworks dropped significantly. Developers were no longer limited by their personal network or the quality of local tutorials. Stack Overflow became the default mental support system for programmers worldwide.

Why does legacy code like COM persist despite being obsolete?

Legacy code lives on because of economic and practical realities. Replacing a working COM system with something modern can cost millions and introduce unknown risks. Companies often choose to patch and maintain rather than rewrite. This creates a niche market for developers with deep expertise in ancient technologies. The original article highlights that COM’s complexity—manual thread management, arcane interfaces—was so extreme that only a few could master it. Those experts become indispensable, holding onto their jobs precisely because the code is too terrifying for anyone else to touch. This dynamic is not unique to COM; it applies to COBOL, FORTRAN, and many other “dead” languages still running in banks and government systems. The lesson: code, once written, often outlives its creators and its intended lifespan.

What does the rich text editor story tell us about tool bloat?

The article mentions a famous Bill Gates quote from 1990: “How many f*cking programmers in this company are working on rich text editors?!” This frustration echoes today. Rich text editors are deceptively complex—they involve text formatting, undo/redo, images, tables, and cross-browser quirks. Rather than building a single robust solution, the industry spawned dozens of competing libraries (e.g., TinyMCE, Quill, Draft.js), each with its own learning curve. Developers waste time evaluating and integrating these tools instead of building their actual product. This tool bloat is a symptom of the broader problem: the absence of simplification. Every new option adds complexity but rarely eliminates old ones. The result is that programming stays hard because of the overhead of choosing among many imperfect alternatives.

What can we learn from the contrast between slow and sudden change in programming?

The key takeaway is that while core programming practices evolve incrementally, tools that remove friction can have viral, transformative effects. Stack Overflow succeeded because it solved a universal pain point—getting reliable answers fast—without adding new complexity. It didn’t require learning a new language or rewriting any code; it simply made existing knowledge more accessible. This suggests that future game-changers might not be flashy new languages or paradigms, but elegant simplifications of the daily developer experience. Meanwhile, the persistence of COM and the slow pace of other improvements remind us that the industry’s progress is often uneven. Companies must balance the cost of change against the risk of stagnation. For developers, the lesson is to invest in understanding the fundamentals—because they may outlast many fashionable frameworks.

Explore more: COM's legacy | Slow change | Stack Overflow impact