You update an app you have been using for years. The update promises new features, improvements and bug fixes, but when you open it again, something feels different. The home screen has more sections, familiar settings have moved and a task that once required two taps now seems to require four.
Sometimes the app may even feel slower. It takes longer to open, uses more storage or appears less responsive on a phone that handled earlier versions without difficulty.
It is tempting to blame the update itself. But apps do not necessarily become slower simply because developers keep adding features. Modern applications can support enormous amounts of functionality while remaining fast when their architecture and optimization are handled well.
The real problem is complexity. As an app grows, developers may need to manage more code, dependencies, background processes, data, interfaces and years of compatibility decisions. What the user experiences as “the app has become heavier” can therefore be the visible result of many different technical changes happening underneath.
Techrow.gr examines why mature apps can become slower and more complicated over time, what actually happens behind increasingly feature-rich software and why a larger app does not automatically mean a slower one.
More Features Do Not Automatically Mean a Slower App
The most important distinction comes first: adding a feature does not automatically make an application slower.
A well-designed app can contain hundreds of functions while loading quickly and responding smoothly. Developers can load features only when they are needed, optimize memory use, reduce unnecessary network requests and restructure older parts of the application as it grows.
Problems usually appear when complexity accumulates faster than it is managed. A feature added today may need to interact with authentication, notifications, analytics, payments, cloud synchronization or several other systems already inside the app. Another feature added next year may need to work with both the new architecture and older components that cannot yet be removed.
The performance question is therefore not simply “How many features does this app have?” It is “How efficiently are all those features and systems working together?”
App Size and App Performance Are Not the Same Thing
A larger installation size is often interpreted as evidence that an app must be slower, but the two are not identical.
An application can become larger because it includes additional images, fonts, languages, media files, libraries or other assets without all of those resources being actively used at the same time. Conversely, a relatively small app can perform poorly because of inefficient code, excessive network activity or badly optimized processes.
Install size primarily tells us how much storage the application occupies. Runtime performance depends on what happens when the software is actually running: how much processing it requires, how it uses memory, what it loads, which services are active and how efficiently it communicates with local or remote systems.
A 500 MB app is therefore not automatically slower than a 200 MB one.
Third-Party SDKs and Dependencies Can Accumulate
Modern apps are rarely built entirely from scratch. Developers commonly rely on external libraries and software development kits, or SDKs, for functions such as analytics, advertising, crash reporting, authentication, payments, maps and notifications.
This can save enormous amounts of development time. There is little reason for every company to rebuild established functionality independently.
But dependencies also become part of the application’s technical environment. Some may need to initialize when the app starts, communicate with external services or consume memory. Over several years, an application can accumulate multiple libraries created at different stages of its development.
Good engineering teams continuously review and update these dependencies. Without that maintenance, however, yesterday’s convenient integration can become tomorrow’s technical baggage.
Background Activity Can Make an App Feel Heavier
Not everything an application does is visible on the screen.
Apps may synchronize information, check for updates, prepare notifications, refresh content, upload files or perform other permitted background tasks. The exact behavior depends on the application and the restrictions imposed by Android or iOS.
Individually, these processes may have a small impact. As functionality grows, however, the amount of work associated with the application can increase.
This can affect battery consumption, data usage and the amount of processing required from the device. On a recent flagship smartphone, the difference may barely be noticeable. On an older or less powerful device, the same application can feel significantly heavier.
That helps explain why two users can install the same update and report very different experiences.
More Data Can Accumulate Inside the App
The application itself is not the only thing that grows. Its local data can grow too.
Caches, downloaded media, databases, thumbnails, offline files and other temporary or persistent information can accumulate over months or years of use. Some of this data exists specifically to improve performance. Caching frequently used information, for example, can prevent the app from downloading the same content repeatedly.
But local storage still needs to be managed correctly. Large or inefficient databases, unnecessary cached files or poorly maintained local data can contribute to problems that a fresh installation may not immediately show.
This is also why reinstalling an app can occasionally make it appear faster. The user is not necessarily installing fundamentally faster software; they may simply be starting again without years of accumulated local data.
The Interface Can Become More Complicated Even When the Code Is Fast
Performance is not only measured in milliseconds.
Imagine that an app technically opens just as quickly as it did two years ago, but its home screen now contains additional tabs, recommendations, services and menus. The feature you use most frequently has moved deeper into the navigation.
From a benchmark perspective, the application may not have become significantly slower.
From your perspective, it has.
This is perceived performance. Users experience software through the amount of time and effort required to accomplish something, not only through CPU usage or loading measurements.
An interface that adds extra decisions, screens and taps can therefore make an application feel slower even when its underlying technical performance remains almost unchanged.
Legacy Code Makes Change More Difficult
Applications that have existed for many years rarely resemble their original versions internally.
Programming languages evolve. Frameworks change. Operating systems introduce new requirements. Development teams change and features designed years apart may coexist inside the same application.
Older code is not automatically bad code. If it works reliably, replacing it simply because it is old can introduce unnecessary risk.
The challenge appears when newer systems must continue interacting with older architectural decisions. Developers may need to preserve compatibility while gradually modernizing the software, making apparently simple changes more complicated than they would be in a brand-new application.
This is one form of technical debt: previous decisions continue creating costs for future development.
Supporting Old and New Phones Creates Another Layer of Complexity
An app does not run on one smartphone.
Developers may need to support devices with different processors, RAM capacities, screen sizes and operating-system versions. A feature that works perfectly on a recent flagship can behave differently on hardware released several years earlier.
Maintaining broad compatibility can require additional testing, alternative implementations and compromises. Meanwhile, new operating-system versions introduce APIs and capabilities that developers may want to use without immediately abandoning customers on older devices.
The application therefore has to move forward while part of its user base remains on older hardware.
This is one reason performance problems after an update may affect only certain devices rather than everyone using the app.
Network Performance Can Be Mistaken for App Performance
Sometimes the app itself is not what is slow.
Many modern applications depend heavily on remote servers and APIs. When you open a feed, search for something, check an account or load personalized recommendations, the application may need information that is not stored on your device.
If those requests take longer because of network conditions, server load or inefficient backend systems, the interface can appear sluggish even if the code running on the smartphone is performing normally.
As apps become more connected to cloud services, the user’s perception of speed increasingly depends on an entire chain: the device, application, internet connection, external services and backend infrastructure.
What feels like a slow button may therefore be waiting for something hundreds of kilometres away.
Why Do Apps Keep Becoming More Complex in the First Place?
The technical complexity users experience usually begins with a business decision.
Athens Pulse explored this question in “Why Do So Many Apps Keep Adding Features Nobody Asked For?”, examining why successful applications accumulate new functionality as companies search for growth, engagement, additional revenue and protection against competitors.
From an engineering perspective, each new feature creates something that must be designed, integrated, tested and maintained. A single addition may create almost no noticeable performance impact, but years of additions can produce an application substantially more complicated than the product originally released.
The challenge is therefore cumulative. The developer is rarely dealing only with today’s new feature. They are adding today’s feature to everything the application already needs to support.
When One App Tries to Do Everything
The pressure becomes even clearer when apps expand beyond their original purpose.
Targeted.gr examined this marketing logic in “Why Super Apps Are So Tempting to Brands — and So Risky for Users” exploring why companies want more customer interactions to happen inside the same ecosystem. Messaging, shopping, payments, content, loyalty and customer service can create more touchpoints and reduce the need for users to leave the platform.
Technically, however, every additional service needs somewhere to live. Navigation expands, new systems are integrated and the application must support user journeys that may never have existed when its original architecture was designed.
A super app can still be extremely fast. But the larger its ambition becomes, the more engineering discipline is required to prevent convenience from turning into technical and interface complexity.
Product Expansion Eventually Becomes a Technical Problem
The same process has a broader business dimension.
Market Insiders examined it in “The Product Expansion Trap: When Growth Makes a Successful Product Worse” looking at what happens when companies continue adding products, services and markets until expansion begins creating more complexity than value.
Software provides a particularly visible example because many business decisions eventually become code.
A new service may require new APIs. A new revenue model can require payment systems. A new market may introduce localization or regulatory requirements. A new customer segment may require additional workflows.
The strategic decision may be made in a meeting, but part of its long-term cost eventually enters the codebase.
Removing a Feature Does Not Always Remove Its Complexity
If a company removes a visible feature, users may reasonably expect the next version of the app to become smaller or faster.
That does not always happen immediately.
The feature may share libraries with other parts of the application. Older data may still need to be supported. Backend systems may continue communicating with previous app versions that remain installed on millions of devices. Developers may also remove the user-facing interface before fully eliminating the underlying infrastructure.
Software rarely evolves as neatly as adding and deleting isolated blocks.
Features are often interconnected, which means removing one part does not necessarily erase every technical decision associated with it.
An Update Can Also Make a Complex App Faster
There is another side to the story that is easy to miss: updates can improve performance even while adding functionality.
Developers can optimize startup routines, reduce memory consumption, replace inefficient libraries, improve caching, compress assets, redesign database operations or remove unnecessary network requests. New operating-system tools can also allow tasks to be handled more efficiently than before.
This means an application can become more capable and faster at the same time.
The difference is maintenance.
Feature development adds visible value that users and businesses can immediately recognize. Refactoring and optimization often happen behind the scenes. Yet without that less visible work, technical complexity can gradually become harder to control.
Why Older Phones Often Notice the Difference First
A few extra processes or slightly higher memory requirements may be irrelevant on a powerful new device.
On older hardware, the margin is smaller.
If an app requires more RAM, the operating system may need to remove other applications from memory more frequently. More demanding interfaces can put additional pressure on the processor or GPU, while increased background activity may become more noticeable through battery life.
This does not necessarily mean developers intentionally make older phones slower. Often, the application and the hardware are simply moving in different directions: software continues becoming more capable while the physical capabilities of the older device remain fixed.
Eventually, the difference becomes visible.
So Why Do Apps Get Slower and More Complicated With Every Update?
The short answer is that they do not always.
Updates can make applications faster, smaller and more efficient. A larger app can perform better than a smaller one, and additional features can be integrated without creating noticeable performance problems.
But mature apps face a challenge that simple new applications do not: accumulated complexity.
Years of new features can bring additional dependencies, background processes, local data, interfaces, compatibility requirements and legacy systems. Business expansion can introduce new services, while older devices must continue running software designed for increasingly modern expectations.
At the same time, complexity is something good engineering can manage. Developers can refactor old code, optimize startup time, limit unnecessary background work and simplify interfaces even while the product continues to grow.
So the real question is not whether an app has received too many updates.
It is whether the work required to manage complexity has kept pace with the work required to add new things.
Because an application does not become slow simply by growing.
It becomes slow when growth becomes harder to manage than the software underneath it.
Frequently Asked Questions
Why do apps get slower after updates?
An update can increase processing, memory, network or background requirements, but it can also improve performance. Slowdowns depend on what changed in the software, the device being used and how well the application has been optimized.
Does a larger app always run slower?
No. Installation size and runtime performance are different. A large app may contain many assets or resources that are not active simultaneously, while a smaller application can still perform poorly because of inefficient code or network activity.
Do more features use more RAM and battery?
They can, particularly if the features require additional active processes, synchronization or background activity. However, well-designed software can limit when resources are used and keep the impact relatively small.
What is technical debt in an app?
Technical debt describes the future cost created by previous software decisions. As an application evolves, older architecture, code or dependencies can make new changes more difficult and require additional maintenance or modernization.
Why can an app feel slower even if its performance has not changed?
Interface complexity can increase the number of taps, menus or decisions required to complete a task. This can make the app feel slower even when loading and processing times remain similar.
Can developers add features without making an app slower?
Yes. Good architecture, testing, optimization and regular maintenance can allow applications to gain substantial functionality without significant performance degradation.
