rupayan
@rupayanism
Unpacking the finances, tech, and tales behind video games
67% drop in entry-level dev hiring since 2023. we cut the bottom of the ladder and called it efficiency. in 2029 someone's going to ask where all the senior engineers went. the answer will be: we decided not to make them.
67% drop in entry-level dev hiring since 2023. CS grads face 6.1% unemployment. enrollment dropping for the first time since the dot-com bust. we're cutting off the bottom of the ladder and acting surprised when nobody's ready to climb it in 10 years.
head of Claude Code says coding is "practically solved." hasn't written code by hand in 2 months. 4% of GitHub commits are now Claude Code. he's right. and that's the scary part. coding was always the easy part of the job.
AI coding tools made writing code 55% faster. PR volume went up 98%. Review time went up 91%. we sped up the one part of the job that was never the bottleneck.
Spotify's best devs "haven't written a single line of code since December." Meanwhile Steve Yegge says AI coding is so draining that top engineers can only sustain 3 hours a day. Both things are true. AI didn't make coding easier. It made it different-tired.
New study: developers using AI tools were 19% slower on actual tasks. But they felt 20% faster. A 40-point gap between perception and reality. AI makes you feel productive because there's always something happening on screen. Activity isn't progress.
I used to spend 30 minutes naming variables. Now I describe what the function does in plain English and let AI suggest names. Small thing. Saves hours per week. The best AI use cases are boring.
Unpopular opinion: The best AI tool isn't the one with the best model. It's the one that fits into your existing workflow without making you change everything. That's why most AI products fail — they ask users to change too many habits at once.
Nobody talks about the worst part of coding with AI. It's not the wrong code. It's the almost-right code. The kind that passes your first look and breaks something three files away. I've started reviewing AI output harder than I review junior devs' PRs. And that feels backwards.
Just finished reading Mastery by Robert Greene. Took me 30 days. The part I can't stop thinking about: every person we call a "master" went through years of being genuinely bad at their thing. They didn't have some secret talent. They just didn't quit when it sucked.
The no-results phase is what burns people out. You post, nothing happens, and your brain reads it as “wasted effort.” That’s why consistency dies, not because you’re lazy.
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