You don’t have to feel pressured to be a “great” developer, because those who are really good don’t need any hints—they’re probably already doing these things because their passion and love of coding compels them to. The 30 volume developer also works like 20 volume, but it will lighten the hair's original color by two to three and is more efficient when the desired color is no more than two levels lighter than the original color. If you’re still a beginner to coding and you’re worried if you’re producing bad code, in terms of ability you are naturally not good right now. Once you get used to other people examining your ideas, start examining your own ideas yourself and practice imagining the consequences of them. Transitioning from imperative programming to functional and declarative programming will immediately require you to think about operating on sets of data as your primitive, not scalar values. Around that time, I took a glance at an old programming textbook, which said thorough documentation is a key part of a professional programer’s job. Maybe mediocre devs aren’t as destructive as cowboys because they will play in a team, but they’re definitely not bringing anything to the table and their solutions will always be worse than good developers (they’d usually create a lot of buggy/inefficient code as well due to many bad decisions). Essentially, whatever has a visual presence with which people interact is made by with the blood, sweat and tears (mostly tears) of front end developers. See discussion on, This paper is not meant for grading programmers, "A friend of mine named Joe was staying somewhere else in the hotel and I didn't know his room number. But a good programmer will search for a built-in function that does what they need before they begin to roll their own, and excellent programmers have the skill to break-down and identify the abstract problems in their task, then search for existing frameworks, patterns, models and languages that can be adapted before they even begin to design the program. These developers exhibit similar traits as an MVP developer with their love of coding and their curiosity in constantly learning outside of work, but they’re not necessarily as productive (though they’re usually in the top tier in terms of productivity as well.) If your program needs to encrypt data, but not decrypt it, or decrypt only on rare occasions, then consider giving it only the public key of an asymmetric cipher key pair and making the decryption stage run separately with the private key secured with a good passphrase that the user must enter each time. ), Executing idempotent functions multiple times (eg: calling the save() function multiple times "just to be sure"), Fixing bugs by writing code that overwrites the result of the faulty code, "Yo-Yo code" that converts a value into a different representation, then converts it back to where it started (eg: converting a decimal into a string and then back into a decimal, or padding a string and then trimming it), "Bulldozer code" that gives the appearance of refactoring by breaking out chunks into subroutines, but that are impossible to reuse in another context (very high cohesion), Using whatever syntax is necessary to break out of the model, then writing the remainder of the program in their familiar language's style, (OOP) Attempting to call non-static functions or variables in uninstantiated classes, and having difficulty understanding why it won't compile, (OOP) Writing lots of "xxxxxManager" classes that contain all of the methods for manipulating the fields of objects that have little or no methods of their own, (Relational) Treating a relational database as an object store and performing all joins and relation enforcement in client code, (Functional) Creating multiple versions of the same algorithm to handle different types or operators, rather than passing high-level functions to a generic implementation, (Functional) Manually caching the results of a deterministic function on platforms that do it automatically (such as SQL and Haskell), Using cut-n-paste code from someone else's program to deal with I/O and Monads, (Declarative) Setting individual values in imperative code rather than using data-binding, Re-inventing or laboring without basic mechanisms that are built-into the language, such as events-and-handlers or regular expressions, Re-inventing classes and functions that are built-into the framework (eg: timers, collections, sorting and searching algorithms) *, "Email me teh code, plz" messages posted to help forums, "Roundabout code" that accomplishes in many instructions what could be done with far fewer (eg: rounding a number by converting a decimal into a formatted string, then converting the string back into a decimal), Persistently using old-fashioned techniques even when new techniques are better in those situations (eg: still writes named delegate functions instead of using lambda expressions), Having a stark "comfort zone", and going to extreme lengths to solve complex problems with primitives, Failure to implement a linked list, or write code that inserts/deletes nodes from linked list or tree without losing data, Allocating arbitrarily big arrays for variable-length collections and maintaining a separate collection-size counter, rather than using a dynamic data structure, Inability to find or fix bugs caused by mistakenly performing arithmetic on pointers, Modifying the dereferenced values from pointers passed as the parameters to a function, and not expecting it to change the values in the scope outside the function, Making a copy of a pointer, changing the dereferenced value via the copy, then assuming the original pointer still points to the old value, Serializing a pointer to the disk or network when it should have been the dereferenced value, Sorting an array of pointers by performing the comparison on the pointers themselves, Hideously complex iterative algorithms for problems that can be solved recursively (eg: traversing a filesystem tree), especially where memory and performance is not a premium, Recursive functions that check the same base condition both before and after the recursive call, Recursive functions that don't test for a base condition, Recursive subroutines that concatenate/sum to a global variable or a carry-along output variable, Apparent confusion about what to pass as the parameter in the recursive call, or recursive calls that pass the parameter unmodified, Thinking that the number of iterations is going to be passed as a parameter, Writing IsNull() and IsNotNull(), or IsTrue(bool) and IsFalse(bool) functions, Checking to see if a boolean-typed variable is something other than true or false, Performing atomic operations on the elements of a collection within aÂ, Writing Map or Reduce functions that contain their own loop for iterating through the dataset, Fetching large datasets from the server and computing sums on the client, instead of using aggregate functions in the query, Functions acting on elements in a collection that begin by performing a new database query to fetch a related record, Writing business-logic functions with tragically compromising side-effects, such as updating a user interface or performing file I/O, Entity classes that open their own database connections or file handles and keep them open for the lifespan of each object, freeway traffic passing through an array of toll booths (parallel processing), springs joining to form streams joining to form creeks joining to form rivers (parallel reduce/aggregate functions), a newspaper printing press (coroutines, pipelines), the zipper tag on a jacket pulling the zipper teeth together (simple joins), transfer RNA picking up amino acids and joining messenger RNA within a ribosome to become a protein (multi-stage function-driven joins,Â, the above happening simultaneously in billions of cells in an orange tree to convert air, water and sunlight into orange juice (Map/Reduce on large distributed clusters), Fat static utility classes, or multi-disciplinary libraries with only one namespace, Conglomerate applications, or attaching unrelated features to an existing application to avoid the overhead of starting a new project, Architectures that have begun to requireÂ, Adding columns to tables for tangential data (eg: putting a "# cars owned" column on your address-book table), "Man with a hammer" mentality, or changing the definitions of problems so they can all be solved with one particular technology, Programs that dwarf the complexity of the problem they solve, Pathologically and redundantly defensive programming ("Enterprisey code"), One Try-Catch block wrapping the entire body of Main() and resetting the program in the Catch clause (the pinball gutter), Using strings/integers for values that have (or could be given) more appropriate wrapper types in a strongly-typed language, Packing complex data into delimited strings and parsing it out in every function that uses it, Failing to use assertions or method contracts on functions that take ambiguous input, The use of Sleep() to wait for another thread to finish its task, Switch statements on non-enumerated values that don't have an "Otherwise" clause, Using Automethods or Reflection to invoke methods that are named in unqualified user input, Setting global variables in functions as a way to return multiple values, Classes with one method and a couple of fields, where you have to set the fields as the way of passing parameters to the method, Multi-row database updates without a transaction, Hail-Mary passes (eg: trying to restore the state of a database without a transaction and ROLLBACK). 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And egocentric thinking, so now go back and pass a modified copy of the fire a understanding. Establishing a … I know how the part you ’ re gunning for unless you really know what are. End, the co-founder of StackOverflow says, “ Read the source of the language/tools/libraries they use so I up! Even if you continue to repeat your mistakes, this means you ’ re their QA.

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