The Lost Art Of Writing Code From Memory

Content IT interview Can you work under pressure? Yes, of course 3 months later

Content actual photo of me approving and merging my own pull request in my own private repo where I'm the only dev pushing code

Content Suppose you have one rabbit. Now suppose someone gives you one more rabbit Now, if you count your rabbits, you have two rabbits. So one rabbit plus one rabbit equals two rabbits. So one plus one equals two. And that is how arithmetic is done. Now that you understand the basic idea behind arithmetic, let's take a look at a simple easy-to-understand example that puts into practice what we just learned. Try It Out Example 1.7 log!(M) (W) log.N-N 1- log lI(g) lim slog(N 1) lim slog(N 1) log " Ed 1) dr clog n - E log(a n) ( B, (a)da log(a 1) log(s N) lim log.N - (8 N)I bog (8 N) (84 N) (8 1) 10468 4 11 -(s 1) - Bi (a)da lim slog(N 1) - SN log N log.N If the authors of computer programming books wrote arithmetic textbooks

The classic corporate bait-and-switch! Manager gleefully announces "no more daily standups" like he's bestowing a gift from the heavens, only to reveal the true horror: writing detailed Slack messages every morning instead. The final panels show the developers' brilliant malicious compliance—using ChatGPT to auto-generate those meaningless status updates. This is peak modern workplace evolution: replacing a 15-minute meeting with an hour of typing, then automating away the busywork with AI. The circle of corporate life is complete. The manager thinks he's won, but the devs are playing 4D chess while he's still figuring out how to open Excel.

Content G152 Open source contributions Experienced developers fixing bugs and adding new features. Me fixing typos in the documentation

OH. MY. GOD. The most PERFECT visualization of CPU vs GPU processing I've ever witnessed! 🤣 The CPU (top) - one BEEFY strongman doing ALL the heavy lifting by himself. Single-core processing at its finest, darling! Just one muscular thread handling tasks one at a time while everything else WAITS. DRAMATICALLY. Meanwhile, the GPU (bottom) - a CHAOTIC SWARM of people all rushing forward simultaneously like they're giving away free coffee at a developer conference! That's parallel processing, sweetie - thousands of smaller cores tackling problems together in a beautiful, frenzied mob. And THIS is why your pathetic attempt to mine Bitcoin on your CPU feels like watching paint dry while GPUs are rendering entire universes! The DRAMA of computer architecture, I simply cannot!