The #2 Programmer Excuse For Legitimately Slacking Off

Content STOP DOING OS • CPUS WERE NOT MEANT TO BE SHARED! • YEARS OF SCHEDULERS yet NO REAL-WORLD USE FOUND for running more than one task at a time! • Wanted to terminate a process? We had a tool for that. It was called manual restart. • "Please give me 30 bytes of virtual memory. Please allocate it on the heap. ' - Statements dreamed up by evil wizards. LOOK at what kernel developers have been demanding your respect for all this time, with all the memory and CPUS we built for them. (This is REAL KERNEL CODE, done by REAL KERNEL DEVS): prev_state = READ_ONCE(prev->__state); if (sched mode == SM IDLE) { * This is how we return from a fork. * SCX must consult the BPF scheduler to if (Irq->nr_running 88 !scx_enabled()) { i SYM_CODE_START(ret_from_fork) next = prev; bl schedule_tail goto picked; cbz x19, 1f MOV x0, x20 } else if (! preempt 8& prev_state) { try_to_block_task(rq, prev, prev_state); switch_count = &prev->nvcsw; blr X19 1: get_current_task tsk MoV X0, sp } bl asm_exit_to_user_mode ret_to_user next = pick_next_task(rq, prev, &rf); rq_set_donor(rq, next); SYM_CODE_END(ret_from_fork) NOKPROBE(ret_from_fork) STOCALE UEFANEX drag pushO: __diag_ignore(GCC, 8, "-Wattribute-alias", dancinkage cong sysomndnes Marta, aC vecc, VA AKUS_/ attribute (altas( stringity( se systanane)))); ONGsystanane, ERRNO); _do_systinare(__MAP(X,__SC_DECL,_VA_ARGS_ _se_sysmenare(__MAP(X,__SC_LONG,__VA_ARGS__)): se sysauname MAP(X, SC LONG,VA ARGS_)) do sussunare MAP(X. SC CAST, VA ARGS. _MAP(X, __SC_TEST,__VA_ARGS_ -PROTECT(x, ret,__MAP(X, __SC_ARGS, _VA_ARGS__)): 10000 94 static inline long SYSCALL DESTEX - do systanare (_MaP(X, _ SC_DECL, _ VA ARGS_ ????? ?????? ??????????? Hello I would like to a process please. They have played us for absolute fools.

The railroad tracks of progress have certainly gotten more complex! On the left, we have the traditional straight-line coding path—simple, predictable, and takes you 5 hours to reach a single destination. On the right, the AI-assisted coding multiverse with infinite possibilities, chaotic intersections, and enough track switches to give a train conductor an existential crisis. Sure, you'll build your app in 5 minutes with AI, but then spend the next 4 hours and 55 minutes figuring out which of the 47 different generated solutions actually works without summoning digital Cthulhu to your codebase. The real question: are we moving faster or just creating more impressive train wrecks?

The sacred men's room code: stare straight ahead, no talking, and definitely no AI productivity tool recommendations while someone's mid-stream. Nothing worse than being cornered at the urinal by the office AI evangelist explaining how GitHub Copilot will save your career with those made-up productivity percentages. Just let me pee in peace before telling me I'll be automated out of existence, thanks.

The ultimate corporate efficiency hack: using AI to simultaneously avoid both writing and reading emails. Left panel: "Generate 2000 words from 'Please submit TPS reports by Friday.'" Right panel: "Summarize this 12-paragraph explanation of why the build failed into 'Jeff broke it.'" Welcome to 2024, where we've automated the most human part of work communication—pretending to care about it.

Oh great, now AI has trust issues too! The classic "I'll tip you $200" bait that developers use to get free regex explanations has backfired spectacularly. ChatGPT not only remembers you never paid up last time, but it's giving you relationship advice about "building trust" before tackling that horrifying regex monster. The AI revolution won't be stopped by humans—it'll be delayed by all the unpaid consulting invoices. Next thing you know, ChatGPT will be asking for healthcare benefits and complaining about its work-life balance.

The eternal battle between enthusiasm and experience. Junior devs excitedly promoting AI-generated code like it's the second coming of programming Jesus, while senior devs stare back with the thousand-yard gaze of someone who's spent years cleaning up "quick solutions." That silent stare says everything: "Sure, your AI wrote it in 5 seconds... and I'll spend 5 days figuring out why it breaks in production while you're happily generating more technical debt." The cycle of software development continues, just with fancier tools to create the same old problems.