Real programming standards....look and learn

How To Write Unmaintainable Code
Introduction
Never ascribe to malice, that which can be explained by incompetence.

Napoleon

In the interests of creating employment opportunities in the Java programming field, I am passing on these tips from the masters on how to write code that is so difficult to maintain, that the people who come after you will take years to make even the simplest changes. Further, if you follow all these rules religiously, you will even guarantee yourself a lifetime of employment, since no one but you has a hope in hell of maintaining the code. Then again, if you followed all these rules religiously, even you wouldn't be able to maintain the code!

General Principles
Quidquid latine dictum sit, altum viditur.
Whatever is said in Latin sounds profound.

To foil the maintenance programmer, you have to understand how he thinks. He has your giant program. He has no time to read it all, much less understand it. He wants to rapidly find the place to make his change, make it and get out and have no unexpected side effects from the change.
He views your code through a tube taken from the centre of a roll of toilet paper. He can only see a tiny piece of your program at a time. You want to make sure he can never get at the big picture from doing that. You want to make it as hard as possible for him to find the code he is looking for. But even more important, you want to make it as awkward as possible for him to safely ignore anything. You might get the idea that every language feature makes code unmaintainable -- not so, only if properly misused.

Naming
Much of the skill in writing unmaintainable code is the art of naming variables and methods. They don't matter at all to the comuputer. That gives you huge latitude to use them to befuddle the maintenance programmer.

Creative Missspelling:If you must use descriptive variable and function names, misspell them.
Be Abstract: In naming functions and variables, make heavy use of abstract words like it, everything, data, handle, stuff, do, routine, perform and the digits e.g. routineX48, PerformDataFunction, DoIt, HandleStuff and do_args_method.
A.C.R.O.N.Y.M.S.: Use acronyms to keep the code terse. Real men never define acronyms; they understand them genetically.
Thesaurus Surrogatisation: To break the boredom, use a thesaurus to look up as much alternate vocabulary as possible to refer to the same action, e.g. display, show, present. Vaguely hint there is some subtle difference, where none exists. However, if there are two similar functions that have a crucial difference, always use the same word in describing both functions (e.g. print to mean write to a file, and to a print on a laser, and to display on the screen). Under no circumstances, succumb to demands to write a glossary with the special purpose project vocabulary unambiguously defined. Doing so would be unprofessional breach of the structured design principle of information hiding.

Documentation
Since the computer ignores comments and documentation, you can lie outrageously and do everything in your power to befuddle the poor maintenance programmer.
Lie in the comments: You don't have to actively lie, just fail to keep comments as up to date with the code.
Document the obvious: Pepper the code with comments like /* add 1 to i */ however, never document wooly stuff like the overall purpose of the package or method.
Avoid Documenting the "Obvious":If, for example, you were writing an airline reservation system, make sure there are at least 25 places in the code that need to be modified if you were to add another airline. Never document where they are. People who come after you have no business modifying your code without thoroughly understanding every line of it.

Program Design
The key to writing maintainable code is to specify each fact about the application in only one place. To change your mind, you need change it in only one place, and you are guaranteed the entire program will still work. Therefore, the key to writing unmaintainable code is to specify a fact over and over, in as many places as possible, in as many variant ways as possible. Happily, languages like Java go out of their way to make writing this sort of unmaintainable code easy. For example, it is almost impossible to change the type of a widely used variable because all the casts and conversion functions will no longer work, and the types of the associated temporary variables will no longer be appropriate. Further, if the variable is displayed on the screen, all the associated display and data entry code has to be tracked down and manually modified. The Algol family of languages which include C and Java treat storing data in an array, Hashtable, flat file and database with totally different syntax. In languages like Abundance, and to some extent Smalltalk, the syntax is identical; just the declaration changes. Take advantage of Java's ineptitude. Put data you know will grow too large for RAM, for now into an array. That way the maintenance programmer will have a horrendous task converting from array to file access later. Similarly place tiny files in databases so the maintenance programmer can have the fun of converting them to array access when it comes time to performance tune.
Testing
Leaving bugs in your programs gives the maintenance programmer who comes along later something interesting to do. A well done bug should leave absolutely no clue as to when it was introduced or where. The laziest way to accomplish this is simply never to test your code.
Never Test: Never test any code that handles the error cases, machine crashes, or OS glitches. Never check return codes from the OS. That code never gets executed anyway and slows down your test times. Besides, how can you possibly test your code to handle disk errors, file read errors, OS crashes, and all those sorts of events? Why, you would have to either an incredibly unreliable computer or a test scaffold that mimicked such a thing. Modern hardware never fails, and who wants to write code just for testing purposes? It isn't any fun. If users complain, just blame the OS or hardware. They'll never know.
Never, Ever Do Any Performance Testing: Hey, if it isn't fast enough, just tell the customer to buy a faster machine. If you did do performance testing, you might find a bottleneck, which might lead to algorithm changes, which might lead to a complete redesign of your product. Who wants that? Besides, performance problems that crop up at the customer site mean a free trip for you to some exotic location. Just keep your shots up-to-date and your passport handy.
Testing is for cowards: A brave coder will bypass that step. Too many programmers are afraid of their boss, afraid of losing their job, afraid of customer hate mail and afraid of being sued. This fear paralyzes action, and reduces productivity. Studies have shown that eliminating the test phase means that managers can set ship dates well in advance, an obvious aid in the planning process. With fear gone, innovation and experimentation can blossom. The role of the programmer is to produce code, and debugging can be done by a cooperative effort on the part of the help desk and the legacy maintenance group.
If we have full confidence in our coding ability, then testing will be unnecessary. If we look at this logically, then any fool can recognize that testing does not even attempt to solve a technical problem, rather, this is a problem of emotional confidence. A more efficient solution to this lack of confidence issue is to eliminate testing completely and send our programmers to self-esteem courses. After all, if we choose to do testing, then we have to test every program change, but we only need to send the programmers to one course on building self-esteem. The cost benefit is as amazing as it is obvious.

Miscellaneous Techniques
If you give someone a program, you will frustrate them for a day; if you teach them how to program, you will frustrate them for a lifetime.

Anonymous

Don't Recompile: Let's start off with probably the most fiendish technique ever devised: Compile the code to an executable. If it works, then just make one or two small little changes in the source code...in each module. But don't bother recompiling these. You can do that later when you have more time, and when there's time for debugging. When the hapless maintenance programmer years later makes a change and the code no longer works, she will erroneously assume it must be something she recently changed. You will send her off on a wild goose chase that will keep her busy for weeks.
S.I. vs American Measure: In engineering work there are two ways to code. One is to convert all inputs to S.I. (metric) units of measure, then do your calculations then convert back to various civil units of measure for output. The other is to maintain the various mixed measure systems throughout. Always choose the second. It's the American way!
CANI: Constant And Never-ending Improvement. Make "improvements" to your code often, and force users to upgrade often - after all, no one wants to be running an outdated version. Just because they think they're happy with the program as it is, just think how much happier they will be after you've "fixed" it! Don't tell anyone what the differences between versions are unless you are forced to - after all, why tell someone about bugs in the old version they might never have noticed otherwise?
About Box: The About Box should contain only the name of the program, the names of the coders and a copyright notice written in legalese. Ideally it should link to several megs of code that produce an entertaining animated display. However, it should never contain a description of what the program is for, its minor version number, or the date of the most recent code revision, or the website where to get the updates, or the author's email address. This way all the users will soon all be running on different versions, and will attempt to install version N+2 before installing version N+1.
A Picture is a 1000 Words; A Function is 1000 Lines: Make the body of every method as long as possible - hopefully you never write any methods or functions with fewer than a thousand lines of code, deeply nested, of course.
One Missing File: Make sure that one or more critical files is missing. This is best done with includes of includes. For example, in your main module, you have
#include <stdcode.h>
Stdcode.h is available. But in stdcode.h, there's a reference to
#include "a:\\refcode.h"
and refcode.h is no where to be found.
Enjoy....