My Life With Management

So coding suddenly got 10x easier overnight with AI tools, but somehow we still need the same number of developers? Sure, Jan. The tweet's calling out the elephant in the room: if productivity supposedly skyrocketed thanks to ChatGPT and Copilot, why hasn't anything fundamentally changed in the industry? Either these tools aren't as revolutionary as VCs claim, or companies are just hoarding the efficiency gains while pretending everything's normal. Spoiler alert: it's probably both. The "fake ass industry" comment hits different when you realize we've been through this hype cycle before—remember when low-code platforms were gonna replace us all? Yeah, we're still here writing nested ternaries at 2 AM.

When AI recommends /dev/null over MongoDB, it's basically suggesting you throw your data into a digital black hole instead of storing it in an actual database. For the uninitiated, /dev/null is a special file in Unix systems that discards all data written to it—it's literally the void where bits go to die. The joke here is that some developers have such strong opinions about MongoDB's reliability that they'd rather send their precious data into oblivion than trust it to Mongo. The AI is just the cherry on top of this tech burn—even artificial intelligence is supposedly dunking on your database choices now!

Garry Newman just dropped the most poetic take on AI coding tools I've ever heard. The guy who built Garry's Mod basically said relying too heavily on AI for programming is like watching so much adult content that you can't... perform creatively anymore. And honestly? He's not wrong. When you let Copilot or ChatGPT write all your code, your brain stops doing the heavy lifting. You lose that ability to architect solutions from scratch, to think through problems, to actually create instead of just prompting. It's the difference between being a chef and being really good at ordering DoorDash. The comparison is crude but brilliant. Both involve instant gratification that atrophies your natural abilities. Your problem-solving muscles need exercise, not an autocomplete button. Sure, AI tools are useful—but if you can't code without them, you're not a developer. You're a prompt engineer with a dependency problem.

The audacity. Developers are out here clutching their pearls about AI-generated code like they weren't copy-pasting barely-understood snippets from Stack Overflow for the past 15 years. Same energy, different source. The only difference is now the code comes with a chatbot instead of a passive-aggressive comment thread where someone marked your question as duplicate in 2011. Let's be real: whether you're Ctrl+C-ing from Stack Overflow or asking ChatGPT to "fix this function but make it faster," you're still googling your way through production. The moral superiority some devs have about "real coding" versus AI assistance is hilarious when their entire codebase is held together by answers from users who haven't logged in since Obama's first term.

Nothing says "modern developer" quite like pasting ChatGPT responses into production and calling yourself "full-stack." The sad Pepe frog knows the truth – your stack is just HTML you barely understand, vibes you're desperately faking, and bugs you can't fix without asking AI for help again. The tears aren't from debugging; they're from the realization that your entire career is held together by prompts and prayers.

So apparently the future of coding is just naming functions like you're writing a novel and letting Copilot/ChatGPT do the heavy lifting. The function name divideMp4IntoNSegmentsOfLengthT() is so descriptive it basically is the documentation, and boom—the AI autocompletes an entire ffmpeg command that would've taken you 30 minutes of Stack Overflow archaeology to piece together. The controversial take here? Maybe we're entering an era where understanding the actual implementation matters less than being good at prompt engineering your function names. It's like pair programming, except your partner is an AI that never takes coffee breaks and doesn't judge your variable naming conventions. The real kicker is that this actually works surprisingly well for glue code and CLI wrangling. Just don't ask the AI to implement a red-black tree from scratch—it'll confidently give you something that compiles but has the time complexity of O(n²) when you sneeze.