Feeling a little cold?

Nothing quite captures the essence of freelance web development like sending a client a static JPEG of your beautiful interactive design, only for them to call you confused about why clicking furiously on the image doesn't do anything. It's the digital equivalent of handing someone a photograph of a sandwich and wondering why they can't take a bite. The client's technological literacy and your sanity decrease in perfect inverse proportion with each passing project.

The programming language hierarchy in its natural habitat! While the "serious" languages are geared up for battle, poor HTML is just vibing in a clown costume. The eternal debate of "is HTML a programming language?" visualized perfectly. The hardened veterans of syntax and compilation stand ready, while HTML's just happy to be included in the squad. Reminds me of that one intern who shows up to the architecture meeting with nothing but enthusiasm and a vague understanding of what a for-loop is.

Content 10:32 A A 1 ON 948 rlearnprogramming ev 11h What is the best way to compile C programs with millions of lines? Topic I have a C program I just wrote that has over 21 million lines of code all on one text file. I'm using g on a Mac (with XCode installed) and as I type this post out my program is still compiling. Clang is using 1 thread while Code Helper is using 26. Firefox is using 97. I'm thinking that the compiler I'm using is not well optimized for multi-threading. Share . Award uChumbaCasi Promoted Pla Only Social Casino for free with Chumba CHUMBA Casi Red am your free welcome bonus now. CASINO chumbacasino.com Play Now BEST COMMENTS v -. dmazzoni 8h Not sure if this is a joke or not, but I routinely work with C code with 20M lines of code. Here's how we handle that in practice: Don't put the whole program in one file. C can't parallelize compiling one file, but if you can split your program into 1000 files, there are lots of build systems that will compile as many files as possible in parallel. There are tools like distcc that help you use multiple computers to compile in parallel It sounds like you don't actually have 20M lines of actual code really 99.99 of that is just data. There's no reason data needs to be run through a C compiler. The easiest solution is to just Add a comment

The circle of life in tech! Designers freaking out when devs use AI to make pretty UIs, while developers glare suspiciously when designers start generating code. It's the digital equivalent of "stay in your lane, bro." After 15 years in the industry, I've seen territorial battles over who gets to use which tools, but this AI turf war is next level. Soon we'll all just be prompt engineers yelling at each other about who wrote the better instruction set.

Frontend? Nope. Backend? Hard pass. Weekend? Now we're talking. The Drake meme perfectly encapsulates the universal truth that no matter how much you love/hate your tech stack, nothing compares to that sweet, sweet 5PM Friday feeling. The code will still be broken on Monday, but for 48 glorious hours, it's somebody else's problem. Probably the on-call engineer's. Poor soul.

Grandma dev isn't wrong. Modern "software engineering" is often just gluing together 47 npm packages and hoping nothing breaks after the next update. Remember when we actually designed systems instead of just importing half of GitHub? Those were the days when UML diagrams weren't just decorations for PowerPoint presentations and "technical debt" meant more than "I'll fix it later" (narrator: they never did). The old guard remembers when optimization meant squeezing performance out of every byte, not just throwing more AWS instances at the problem.