The issue on that page was actually not complicated: a list displayed correctly on an iPhone 13, but when switched to another device, the bottom button was pushed up a few pixels by the safe area. The UI itself had no errors, and the constraints worked fine, but there was a slight offset during scrolling.
This kind of problem is common in iOS development. What really consumes time is not fixing the logic, but repeatedly verifying. After checking the Git commit history, I found that from initial localization to final confirmation, I had changed the code about 17 times. Each modification required recompilation, running, connecting the device, and confirming the page behavior.
After that day, I started reorganizing the iOS development efficiency tools I was using.
Editors Actually Affect Continuity
When many people first start iOS development, they default to Xcode. It is complete, but as project types increase, a real issue emerges: the code you write in a day is not necessarily all Swift. It might also include:
- Flutter pages
- Shell scripts
- JSON configurations
- Backend API code
Therefore, many developers gradually shift to editors like VSCode. The reason is simple: work context does not require frequent switching. Plugins, shortcuts, Git operations, and terminal logic remain consistent. The editor itself does not reduce bugs, but it affects whether the development process is interrupted.
Real-Device Debugging Is the Most Frequent Development Action
What really takes time is the cycle of: modify code → compile → install to device → check results.
Page layouts, animations, permissions, push notifications, Bluetooth, camera – these features must be verified on real devices. If this process requires frequent switching of tools, the development rhythm becomes fragmented.
Therefore, many developers start to pay more attention to toolchain integration:
- Can modifications be built quickly?
- Can the device be directly connected?
- Is additional export needed?
- Is the installation process continuous?
These issues never appear in technical interviews, but they affect development experience every day.
Automation Tools Address Repetitive Work
In the later stages of a project, another category of tools becomes important, such as Fastlane, Jenkins, and GitHub Actions. What they do is not mysterious; they essentially automate building, packaging, uploading, and publishing. When these actions need to be repeated dozens of times, people start making mistakes. For example, when a test package needs to be regenerated daily, the value of automation scripts becomes very apparent.
Compilers Are Also Part of Efficiency Tools
Many developers don’t discuss “compilers” separately because in traditional development workflows, they are hidden behind the IDE. But actually:
- Project parsing speed
- Build process
- Architecture choice
- SDK calls
- Installation to device
All of these are part of the compilation pipeline. The larger the project, the more developers feel the time cost here.
I Recently Noticed a Pretty Interesting Tool
While reorganizing my toolchain recently, I came across an iOS development tool called Kuaixie (kxapp) . What attracted me was not that it “supports writing Swift.”
Instead, it attempts to reintegrate several high-frequency actions in the development process:
- Supports Swift, Objective-C, and Flutter projects
- Editor based on VSCode architecture
- Built-in compilation tool suite
- Can run directly on real devices
- Provides app package building capability
The key point here is that it does not separate “editing” and “compiling” into two independent environments. After modifying code, you can directly proceed to the build and device verification process. For people who need to frequently debug pages or maintain multiple projects, this design makes it easier to maintain development continuity.
The Value of a Tool Is Not Necessarily Reflected in the Number of Features
Often, what makes a tool truly useful is not how powerful it is, but whether it reduces repetitive actions. For example, opening one less window, switching one less environment, executing one less repeated command – these details individually seem minor, but they accumulate.
Especially when a page requires repeated debugging, developers become increasingly aware of the impact of the toolchain itself on development rhythm.