Hype in Software Development

We live in a time when every month brings a new framework, library, or architectural pattern that promises to change everything. Increasingly often, we come across a new technology, a new trend, and most possibly, a new hype. And we, developers, somehow lose sight of the goal we want to achieve and, sadly, embrace the hype instead.

It starts innocently. We hear how a big company solved its problems with a new tool. We see posts about revolutionary frameworks or must-have practices. Soon, teams begin rewriting working systems or adopting unfamiliar tools, not out of necessity, but out of fear of being left behind.

There is a certain comfort in hype. It makes us feel current, part of a larger movement. Yet, this comfort often comes at a cost. In trying to stay modern, we forget the fundamentals — clarity, simplicity, and solving the actual problem.

In an effort to bring the hype into the game, we can create a huge technical debt from day one. The irony is that hype-driven decisions rarely look wrong at first. They seem smart, exciting, even visionary until maintenance begins. Then the complexity reveals itself.

In many ways, software follows the same rhythm as the hype cycle: the spark of a new idea triggers inflated expectations, followed by the crash of disillusionment and a slow recovery toward true understanding. If we keep this curve in mind, we can recognize when excitement turns into illusion and focus instead on what endures: clear thinking and meaningful code.

What kind of sorcery is this?

Developers write obscure code because of the hype about fewer lines of code. The fewer lines of code we write, the smarter/knowledgeable we are. The true sorcery, sigh… On the contrary, the hard part is rather making it clear enough. If we can’t understand the code after some time, it’s almost a crime scene. For every little change, we need to investigate the same crime again and again.

Readable code doesn’t make you less clever. It makes your work last. Good code tells a story that another developer can follow without guessing the author’s intention. The real magic isn’t in shrinking logic into one-liners, but in expressing complex ideas so simply that even someone new to the project can pick them up and keep building.

Dare to enter my abstract factory

The developers sometimes apply abstraction too eagerly. Perhaps, they want to create most generic program ever or they want to apply a cool pattern. Suddenly, they can end up in a magical world where we lose the sense of the reality and what the problem was. The abstraction isn’t free and applying right level of abstraction might be hard. In the end, you might become architecture astronauts.

Abstraction is powerful only when it’s purposeful. A good abstraction should simplify, not mystify. It should emerge naturally from repeated patterns, not be forced for the sake of elegance. When every line of code becomes an abstract factory or strategy pattern, the system stops being intuitive and turns into a maze. Sometimes, the best design is the one that keeps its feet on the ground.

NoSQL rocks

Have you ever used a NoSQL database with relational mindset? Back in the days, I have seen this getting applied. Multiple documents that represent the domain similar to relational databases. Nonetheless, we didn’t have foreign keys, joins, and transactional guarantees. Yet, somehow it was the “right” choice.  What’s more, it was web scale.

NoSQL isn’t bad but it’s not a magic trick either. It solves a specific set of problems: scalability, flexibility, and availability. But when used for the wrong reasons, it becomes a slower, clumsier version of the relational model it tried to replace. The real challenge isn’t choosing between SQL and NoSQL, but understanding your data and its relationships well enough to know which one actually fits.

Scalable database

Who wants their databases to scale indefinitely.  So, why not use a scalable solution like Cassandra from day one. Many developers used it. Well, if you are inserting less than a million rows a day, does it still make sense to use a solution like it? What about provisioning, deploying and maintaining such a complex system?

Scalability should be a response to need, not a feature of pride. True engineering maturity lies in knowing when not to scale, when simplicity outperforms sophistication. Premature scaling creates complexity that few teams can maintain, and it distracts from the real question: does the product even have enough users to justify it? Scaling is not an achievement. It’s a necessity that should arrive only when growth demands it.

Microservices first

Some big company saved their organization by adopting microservices. It’s proven to work for them. So, what can be wrong with microservices?  Maybe there’s nothing wrong except the fact that the development team is 3 people. Or, you never had anything that provides some value.

Microservices shine only when the organization is ready for them. Without mature communication, proper boundaries, and strong ownership, they quickly turn into distributed chaos. What begins as an attempt to gain flexibility ends with duplicated logic, integration nightmares, and deployment fatigue. Sometimes, the real performance boost comes not from breaking things apart, but from keeping what works together.

Contemporary queue

If you have a line of things to be handled like some sort of tasks, you can use a queuing system.  We needed such software. Our developers wanted to use a Redis for queuing because of the hype. They have used it. At the time, it lacked library support and wasn’t resilient enough. There was an option of using existing battle-proof technology yet it didn’t happen. Hence, the developers got lost in the dark with no light and getting support duties constantly.

The real art of using queues lies in restraint. Queues should simplify communication, not complicate it. When introduced without clear reasoning, they add latency, monitoring overhead, and operational risk. A single in-memory buffer or a retry mechanism might solve the same problem more elegantly. Not every message deserves its own topic, and not every system needs to be event-driven. Sometimes, the best architecture is the one that keeps its messages short and its purpose clear.

frAGILE

Agile frameworks won’t fix your organizational problems. Moreover, inventing buzzwords like “organic agility” for your organization wouldn’t provide anything either. Most of the organizations fail to take into account the very core of agile manifesto. Quickly, the organization ends up in a people depth: roles, methods, and inconsistency. After all, the time and money get invested in the wrong place without thinking about the return on investment.

Modern systems often collapse under the weight of their own complexity. A single configuration mistake can ripple across dozens of services.True robustness doesn’t come from adding more layers but from understanding fewer, simpler ones deeply. In the end, stability is not built by hype. It’s built by humility.

Java sucks

Yes, it does. And, your team decided to choose a brand new programming language that doesn’t suck. Over time, things can go south and you might realize the fancy new language wasn’t that good after all. It lacks framework support, IDE integration support and so forth. All in all, it starts to make your life miserable. This isn’t really about Java but a more general case for the programming languages. Every language has its advantages or disadvantages. Some of them are great at getting something done fast and some of them are low level and so on. One should be careful about getting excited about new languages.

The truth is, languages don’t suck. Misuse does. Java became the symbol of “boring” software only because it works too well to be exciting. It’s not meant to be fashionable; it’s meant to be reliable. The problem isn’t Java itself, but how we treat it: as a punching bag for frustration or as a badge of outdatedness. Ironically, many of the “modern” tools we praise today will one day be mocked in the same way.

Frontendlessness

The frontend development is the mother of hypes in software development. There are hypes about tooling, language, frameworks and almost everything. Everything changes so fast and people too often gets enthusiastic about new stuff. Hence,  I’m not able to list anything here as it might get obsolete soon. The hypes in front-end development make developers feel old. The sad thing is we can’t even avoid hypes in front-end development.

Nobody cares about these hypes. The only thing that matters is to make one’s life easier through writing software. On the other hand, you might even make someone’s life harder because of the hypes. So, do be careful.

tl;dr: Don’t believe the Hype