software-development

When Making a Change Requires Knowing Everything

Modern coding tools, like language models (LMs), are becoming essential for developers. These tools can assist in navigating complex systems and help with writing, debugging, or improving code. However, there’s a major red flag to watch out for: if making a change to your code base requires providing the LM with the entire system, you might have a serious problem on your hands.

This scenario arises when the code base is so interdependent and tangled that every part relies on something else to function or adapt. If you need to load the entire system just to adjust one component, it’s a sign that your code base has turned into what many developers refer to as a “spaghetti monster.” Overly coupled components, excessive dependencies, and poor modularity can all lead to this situation. The result is a system where even minor updates become an overwhelming task.

A spaghetti monster code base leads to inefficiency and frustration. Code becomes harder to navigate, changes take longer to implement, and new bugs surface more easily. Even advanced tools like LMs will struggle to provide meaningful support if they’re required to understand the entire system instead of focusing on a specific area. This doesn’t just waste tool capabilities—it consumes valuable development time.

The solution lies in embracing modular design. By structuring code into smaller, independent pieces, you simplify development for both humans and LMs. Modular systems reduce unnecessary dependencies and make it easier to isolate, update, and test individual components. Beyond modular design, refactoring the code, reducing entangled logic, improving documentation, and conducting regular code reviews can all help untangle the spaghetti monster.

If parts of your code base feel overwhelming or hard to navigate, take that as a sign to reassess the structure. A cleaner, more maintainable system will not only improve your workflow but will also make tools like LMs far more effective. Don’t let a tangled code base hold you back—it’s worth the effort to untangle the mess.

Why Software Development Is Often About Fixing Old Mistakes

Software development is, at its core, a job focused on managing the consequences of bad decisions made by others. These bad decisions come from multiple sources: the previous developer of the app or system you’re working on, the framework creators, the platform developers, and even the committees that set technical standards. Over more than fifty years, these decisions have stacked up, creating layer upon layer of complexity. As a result, much of the work in modern software development revolves around building yet another workaround on top of an already cumbersome workaround.

Take encoding, for example. What should be a solved problem still causes frequent headaches, as systems struggle to handle text across different formats. Then there’s the challenge of date and time—dealing with time zones, daylight saving time, and inconsistent formats makes working with timestamps anything but simple. Arbitrary size limits are another common pain point; whether it’s database field restrictions or file size caps, these limits are often relics of older systems and poorly suited to today’s needs. Libraries and frameworks, while often helpful, can introduce hardcoded behaviors or rigid structures that make flexibility nearly impossible when requirements change. Hardcoded logic in applications further compounds problems, leaving future developers to wrestle with inflexible assumptions baked into systems.

While these challenges can be frustrating, there are strategies to minimize the damage. Recognizing recurring problems early is key—fragile workarounds and outdated decisions are easier to address when identified quickly. Documenting your choices clearly can prevent future developers from needing to decode the intent behind your implementations. Striving for simplicity in every solution helps reduce future complexity, as unnecessary layers of abstraction often lead to more problems down the road. Finally, experience is invaluable. Every workaround encountered tells a story about past mistakes, and every solution you create is an opportunity to learn and improve.

Software development often feels like cleaning up after decades of bad decisions, with small victories scattered along the way. But it also presents an opportunity to stop the cycle. Every thoughtful decision made today ensures that future developers face fewer workarounds and headaches. While perfection may be out of reach, each step toward simplicity and clarity improves not just the system you’re working on but the entire ecosystem of software development as a field.