The Confession
I have a confession. I am incredibly lazy when it comes to formatting code. Some people spend hours crafting the perfect linter rules. I do not. I want things to work and I want them to be easy to read. That is all.
You know the feeling. You open a config file left behind by a former colleague. It has three thousand lines. Nothing is in order. The keys are thrown together like a bad salad. You need to update the database URL. You scroll. And scroll. You try to use the search function but you typo the word. It is a nightmare.
Here is the thing. Disorganized JSON objects make debugging impossible. Sorting your keys alphabetically makes it incredibly easy for humans to read the file and find what they are looking for without using the search function. But doing it by hand is stupid. And writing a custom python script feels like too much work for a simple problem.
Let me tell you a story about a massive unsorted config file. It was a Tuesday. Raining heavily outside. I was working on a legacy system that had not been touched in four years. The main configuration was a single JSON file. It held everything. Feature flags. API keys. Timeout values. Deprecated settings that nobody was brave enough to delete.
I needed to find the retry limit for the payment gateway. I opened the file. It was chaos. The author had clearly added keys chronologically as the project grew. So the payment settings were mixed with UI colors and analytics tokens. I spent twenty minutes just staring at it. My eyes hurt. I eventually found the key nested deep inside a seemingly unrelated object. I fixed the bug. But I swore I would never let my own files look like that.
The Great Debate
There is a fierce debate among developers. Should you order your JSON keys logically or alphabetically. The logical camp argues that related settings should sit next to each other. Database host right above database port. That makes sense in theory. But in practice it fails. What happens when you have a setting that applies to both the database and the cache. Where does it go. The logical order breaks down the moment the system gets complicated.
Alphabetical order is objective. It does not care about your mental model of the system. It only cares about the alphabet. If you need the port you look under P. If you need the host you look under H. It is simple and predictable.
But does sorting JSON break the code. No. JSON objects are unordered by definition in computer science. Sorting the keys does not change how the computer reads the data. A parser just loads the whole thing into a hash map or dictionary anyway. So alphabetizing is purely for our own sanity.
So how do we do it. The laziest way possible. I do not want to configure a pre commit hook if I do not have to. I just want the text sorted.
This is where simple web utilities save the day. You can copy the massive JSON blob. Paste it into a formatting tool. Click a button. And paste it back. It takes two seconds.
You can use the online JSON formatter and validator for this. It handles the parsing and stringifying and sorting all at once. No scripts required. No npm packages to install globally. Just copy paste and done.
The Wall of Imports
Let us switch gears and talk about code imports.
Have you ever looked at the top of a React file or a Python script and felt overwhelmed by the block of imports. It looks like a wall of text. Sometimes the same library is imported twice. Sometimes unused imports sit there for years.
Alphabetizing your code imports is a tiny habit that pays huge dividends. It makes it instantly obvious if a module is already imported. It reduces merge conflicts when multiple people add dependencies at the same time.
But again. Doing it manually is a chore.
You can copy the block of import statements from the top of your file and paste them into a text sorting tool to arrange them instantly. The alphabetical sorting tool is perfect for this. It just takes lines of text and alphabetizes them. It does not care if it is JavaScript or Go or Ruby. It just sorts.
I remember another debugging session. I had spent three hours trying to figure out why a component was rendering twice. I checked the state. I checked the props. I checked the context providers. Nothing made sense. Finally I looked at the imports. Someone had imported two different versions of the same helper function under different aliases. Because the imports were a disorganized mess of fifty lines I had completely missed it.
If those imports had been alphabetized the two identical module paths would have sat right next to each other. The bug would have been obvious in five seconds.
This might work for you too. It is not about being a perfectionist. It is about being lazy in the smart way. We write code once but we read it a hundred times. Anything that makes reading easier is worth a tiny bit of effort up front.
The Broken Window Theory
Let us go deeper into the psychology of messy codebases. Why do we let things get this bad. Often it is because we are in a rush. We have a deadline. The product manager is asking for the feature. We add the new JSON key at the very bottom of the file because it is the fastest thing to do. We tell ourselves we will clean it up later.
But later never comes. The next day brings a new feature and a new deadline. The file grows. The mess compounds. It is the broken window theory of software development. Once a file looks messy people stop caring about keeping it clean. They just throw their garbage on top of the existing garbage pile.
Sorting alphabetically is a hard reset. It brings order back to the chaos. And because it is an objective standard it stops arguments during code reviews. Nobody can argue with the alphabet.
I have seen teams argue for days over the proper way to categorize settings in a config file. They draw diagrams. They write wiki pages. They create complex taxonomies. All of that is wasted time. Just sort the keys. A to Z. Done.
You might wonder what to do about nested objects. The same rule applies. Sort the parent keys. Then sort the keys inside each child object. The JSON key sorter usually does this recursively. It is beautiful to look at. A massive nested structure suddenly looks like a well organized library.
And what about arrays. Arrays are different. Arrays are ordered collections. The order of items in an array usually matters to the program. So you should not blindly sort arrays unless you know exactly what you are doing. But the keys of the objects inside those arrays. Sort them.
Merge Conflicts
Let us talk about merge conflicts. They are the bane of every developers existence. Two people edit the same file. Git gets confused. You spend half an hour manually combining the changes.
Unsorted files cause unnecessary merge conflicts. If everyone adds their new settings to the bottom of the file git will almost always see a conflict. Both branches modified the exact same line at the end of the file.
But if the file is alphabetized new settings are inserted in different places based on their names. Git is remarkably good at resolving these automatically. This alone is a reason to adopt this practice. It saves you from the most annoying part of version control.
I am a big believer in low friction tools. If a process takes more than five steps I simply will not do it. That is why I love browser based utilities. I always have a browser open. Opening a new tab and going to a formatting site is effortless.
Some people prefer IDE extensions. That is fine too. But IDE extensions can be finicky. Sometimes they update and break. Sometimes they conflict with other formatting tools like Prettier or Black. A simple web tool never conflicts with your local environment because it operates completely outside of it.
Here is how it works in my daily routine. I write the code. I add whatever settings or imports I need. I do not worry about order while I am in the flow state. Once the feature is working and I am preparing to commit I do a quick cleanup pass.
I grab the imports. Paste them into the list sorter. Copy them back. I grab any modified JSON objects. Paste them into the JSON formatter. Copy them back. It adds maybe thirty seconds to my workflow. But it leaves the codebase significantly cleaner than I found it.
It is also incredibly satisfying. Watching a messy block of text instantly snap into a perfect alphabetical list triggers something deep in the human brain. It feels like cleaning a dirty room. You get a little hit of dopamine.
Let us consider the alternative. Writing a custom script. Say you decide you want to write a python script to sort your JSON files. You start writing. You import the json module. You read the file. You parse it. Then you realize you want to preserve the indentation. The standard library json module might mess up your specific formatting. So you look for a third party library. You install it. You write the recursive sorting function. You test it. You find an edge case. You fix it.
Three hours have passed. You have written a very nice script. But you have not actually done the work you set out to do. You got distracted by the tooling.
This is a trap we all fall into. The desire to automate everything. Sometimes doing things the dumb lazy way is actually the most efficient approach. A web tool that already exists is infinitely better than a perfect script you have to maintain yourself.
Cognitive Load
We should also talk about the cognitive load of reading code. Our brains have limited working memory. When you look at an unsorted list your brain has to read every single item to find what it wants. It is an O of N operation in computer science terms. Linear search.
When you look at an alphabetically sorted list your brain can do a binary search. You want the key called server. You jump to the middle of the list. You see the letter M. You know S comes later. You jump to the middle of the bottom half. You find it almost instantly.
This sounds like a tiny improvement. And it is. But when you are debugging a complex issue you are reading hundreds of files. Those tiny improvements compound. Reducing the cognitive load of reading means you have more brain power left for actual problem solving.
There are times when alphabetical order might not be ideal. For example if you have a massive list of countries you might want your own country at the very top for convenience. But these are rare exceptions. For almost all configuration data and code imports alphabetical is the clear winner.
I have noticed that junior developers often worry too much about breaking things by formatting. They see a file that has been untouched for years and they are afraid to modify it. They think the original author put things in that specific order for a secret reason.
Let me assure you. There is no secret reason. The original author was probably just in a hurry. They pasted things wherever they fit. Do not be afraid to clean up legacy code. Sorting keys is one of the safest refactoring operations you can do. It changes the representation but not the data itself.
It is also a great way to familiarize yourself with an unknown codebase. When you take the time to sort and format a messy file you inevitably read through the contents. You start to see what settings exist. You notice deprecated keys. You spot typos. It is like taking inventory of a dusty warehouse.
Let me share another anecdote. I once took over a project from a contractor who had a very unique coding style. Everything was written in one massive file. All the styles all the logic all the configuration. It was tens of thousands of lines long.
The first thing I did was extract the configuration into a separate JSON file. It was still a mess. I used a formatter to pretty print it and sort the keys. Instantly I saw that there were three different database connection strings defined. Only one was actually being used. The other two were from old test environments. Because they were scattered throughout the unsorted file nobody had noticed the duplication.
Sorting revealed the truth. I deleted the dead code. The file shrank by twenty percent. That simple act of organizing gave me the confidence to start tackling the real logic in the application.
So what is the takeaway here. It is simple. Stop making things harder than they need to be. Embrace the lazy approach to organization. Use tools that do the heavy lifting for you.
Whether it is your configuration files your environment variables or your code imports the alphabet is your best friend. It is an arbitrary but universally understood system of organization. Rely on it.
And remember that code is communication. You are not just telling the computer what to do. You are telling the next developer what you did. Make it easy for them. Leave the campsite cleaner than you found it.
The next time you encounter a massive messy JSON object do not just sigh and scroll past it. Take the ten seconds to copy it into a formatter. Click the sort button. Paste it back in. Your future self will thank you. Your team will thank you. And you will spend less time hunting for variables and more time doing the fun parts of programming.
This is the beauty of simple solutions. They do not require a massive architecture shift. They do not require approval from a committee. They are just tiny habits that compound over time to make your life significantly better.
I will keep using my simple copy paste method. It is lazy it is fast and it works every single time. And honestly that is all I can ask for from my tools.
The Micro Habit
Let us expand on the idea of micro habits. Micro habits are tiny actions you perform consistently until they become automatic. You do not even think about them anymore. Sorting your code is the perfect candidate for a micro habit.
When you first start doing it you will have to remind yourself. You will finish a file and think oh right I need to sort those imports. But after a week or two it will happen naturally. Your hands will just perform the copy paste routine without conscious thought.
This is the goal. You want good hygiene to be automatic. You do not want to spend willpower on it. Willpower is a finite resource. You need it for solving complex architectural problems not for remembering to alphabetize a list.
By offloading the actual sorting to an online text sorter you make the habit as low friction as possible. There is no resistance. It is just muscle memory.
I often compare coding to woodworking. A master carpenter keeps their workspace spotless. They put their tools back in the exact same place every time. They sweep up the sawdust. They do not do this because they are obsessive. They do it because a clean workspace makes the actual building process faster and safer.
When you know exactly where your chisel is you do not waste time looking for it. When your JSON keys are sorted you know exactly where to look for that configuration value. You do not waste time scrolling.
It is the exact same principle. We are digital craftsmen. Our codebases are our workshops. We should treat them with the same level of respect.
So start building this micro habit today. Pick one thing to sort. Maybe just your imports. Commit to doing it for every file you touch this week. See how it feels. Notice how much easier it is to read those files later.
Like honestly, it is not even about being perfect. Me personally, I just want to go home at five. I guarantee you will never want to go back to the disorganized mess. You will become an advocate for alphabetical order. You will write overly long blog posts about it just like this one.
And that is a good thing. The more developers who embrace this lazy organized approach the better our collective code will be.
Remember we are all in this together. Every line of code you write will likely be read by someone else. Maybe a coworker maybe an open source contributor maybe just your future self six months from now. Do them a favor. Make it easy to read.
Keep it simple. Keep it lazy. Keep it sorted. That is the ultimate secret to long term sanity in software development.
Different Languages Different Rules
Let us talk about different programming languages. Every language has its own quirks when it comes to imports.
In Python you have absolute imports and relative imports. You have standard library imports then third party imports then local application imports. PEP 8 actually recommends grouping them exactly like that. But within those groups. Alphabetical. Always alphabetical. If you have ten different models you are importing from your database directory sort them. It makes reading the top of your Python file a breeze.
And then there is JavaScript. Oh JavaScript. The wild west of imports. You can import default exports. You can import named exports. You can import everything as a namespace. You can even import a file just for its side effects. It is completely chaotic.
When you have a massive React component you might be importing hooks from React components from your UI library utilities from your helper folder and CSS modules for styling. It gets out of hand so fast.
This is where the lazy copy paste sorting method really shines. I do not care about the complex rules of ESLint import plugins. I just grab the whole block of named imports inside the curly braces and sort them. Then I sort the lines themselves. The free alphabetical list sorter does this perfectly.
Some people will say this is wrong. They will say you must group your React imports separate from your lodash imports. I say they are overthinking it. The browser does not care. The bundler does not care. Webpack and Vite do not care what order your imports are in. They build the dependency graph exactly the same way.
So why do we force ourselves to remember arbitrary grouping rules. Just alphabetize the whole block. A to Z. It is the great equalizer.
What about Go. Go is actually brilliant because the standard formatting tool go fmt handles a lot of this for you. But even in Go when you have a massive struct with fifty fields you have to decide how to order them.
Now in Go the order of fields in a struct actually affects the memory layout and padding. So you cannot always blindly sort them alphabetically if you are hyper optimizing for memory. But for 99 percent of web applications the memory overhead of unoptimized struct padding is completely irrelevant.
So what do you do. You sort them alphabetically. Because readability is more important than saving four bytes of memory on a server with sixty four gigabytes of RAM.
This is a recurring theme in modern software engineering. We often prioritize theoretical machine efficiency over actual human efficiency. We write clever unreadable code to save milliseconds of execution time while wasting hours of developer time trying to understand that same code.
Sorting is a vote for human efficiency. It is an acknowledgment that developer time is the most expensive resource in the room.
Let me tell you about another project I worked on. It was a massive e commerce platform. The configuration for the product categories was stored in a giant JSON file. It was thousands of lines long.
Every time the marketing team wanted to add a new category or change a slug a developer had to manually edit this file. And because it was not sorted the developers just added the new categories to the bottom.
Eventually we had a category called summer sales right next to winter coats right next to electronics. It made absolutely no sense.
One day a developer accidentally deleted a curly brace while trying to modify a category in the middle of the file. The whole site went down because the JSON parser crashed on startup.
During the post mortem we realized the root cause was not the missing curly brace. The root cause was that the file was so huge and disorganized that the developer could not visually verify the structure of what they were editing.
My solution was simple. I took the file. I used the JSON beautifier and formatter to format it and sort the keys alphabetically. Then I wrote a very short wiki page explaining that all future additions must be sorted.
We never had a syntax error in that file again. Because when the file is organized alphabetically you can easily see the boundaries of each object. You can see the structure. You are no longer flying blind.
This is why I am so passionate about this silly little topic. It seems trivial. But the consequences of disorganized data are real. They cause bugs. They cause downtime. They cause developer burnout.
So please for the love of all that is good in the world start sorting your files. It is the laziest and most effective way to improve your codebase today.
You do not need permission from your manager. You do not need to create a Jira ticket. You just need to open your browser copy the text and sort it.
And if anyone asks why you did it just tell them you were being lazy. They will understand. Because deep down every good programmer is secretly incredibly lazy. We just disguise it as efficiency.
Okay I think that is actually everything. I have nothing left to say on the matter. Go sort your imports. End of story. Seriously go do it right now.
The end.