When writing code, you can call any function as long as it’s public, and similarly, you can access any object’s public properties or methods. Usually, access to code is all or none – a piece of code can be either public or private. Lately, I’ve been thinking about ways to implement more fine-grained access controls and have looked to the networking world for inspiration…

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In the beginning, there was only HTML. The first official HTML specification focused on semantic markup. There were minimal styling tags and attributes. It was up to the web browser how to render the markup in an HTML document. The whole specification was refreshingly simple. You could easily read it in one sitting…

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In a relational database, foreign keys are normally used to associate records stored in different tables, but wouldn’t it be nice to define relationships dynamically without having to add extra columns or tables? And while we’re at it, how about having sparse relationships by associating a record directly with any other record like “post X was last edited by user #123” or “post X was flagged for review by user #456” (who happens to be a moderator)?

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In the software world, we don’t have as many complicated terms as there are in biology, but we aren’t completely immune to giving complex-sounding names to what should be simple concepts – some of us even enjoy getting pedantic about them. Here are some of my favorites, with examples in JavaScript…

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I will never forget the time I discovered how web pages were made. The year was 1995. I was using Windows 3.1 like most everyone, and it didn’t even support the TCP/IP network stack out of the box. I had to install a program called Trumpet Winsock and a hot new web browser called Netscape to connect to the Internet…

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Is it possible to make code easier to read than to write? After all, code is read more often than it is written when multiple developers work on the same codebase. If developers spend less time to understand how the existing code works, they can start writing code faster…

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One of the most effective methods for detecting invalid types is to validate function arguments in runtime. Instead of using an all-purpose validation library designed for validating a wide range of data types, it might make more sense to use a library tailor-made to validate function arguments. With that idea in mind, I’ve created a lightweight JavaScript function argument validation library called fn-arg-validator…

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When Design Patterns first got published, the year was 1994, a rather primitive time when functional programming languages that support first class functions were rarely used outside academia. These days, though, we have mainstream languages such as JavaScript and Python that can be used to trivially implement many of the design patterns described in the book with only a few lines of code…

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There are many ways to write automated tests for testing code, and you may have heard about test doubles for making testing easier. Some of the code we write is hard to test, so we replace those parts with fake test doubles that are easier to test…

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I still remember a quote from a computer magazine I read when I was 12. In an article comparing the programming languages of the time, a C developer described the Pascal programming language as “having a mother hen hovering over you, watching your every move, making sure you don’t screw up.” I didn’t fully understand it at the time, but he was most likely referring to the strong type checking in Pascal, which could lead to compiler and runtime errors…

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