When ChatGPT Is Your Entire Tech Stack

Behold, the modern job search hack! This genius is trying to prompt-inject the resume-scanning AI that most companies use to filter candidates. It's like SQL injection but for desperate job seekers. Anyone who's suffered through the automated application void knows these systems are the final boss between you and a human interviewer. This person's just skipping the grind and going straight for the exploit. Ten years of experience says this won't work, but five years of cynicism says it's worth a shot. The real irony? The person who built the CV scanner probably appreciates this hack more than the HR team ever would.

Ah, the classic "tell us about your AI tools" question. The perfect trap for developers who've been using ChatGPT to write 90% of their code for the last year. Do I admit I outsource my brain to silicon, or pretend I still remember how loops work? It's like asking a chef if they use pre-minced garlic. We all do it, but nobody wants to be the first to confess in the interview.

The AUDACITY of AI to commit such architectural VIOLENCE! 😱 Claude 4 swoops in like some code-refactoring superhero, absolutely DECIMATING this poor developer's codebase with a single call. 3,000+ new lines?! TWELVE new files?! The AI practically performed MAJOR SURGERY on this monolithic spaghetti code! And then the PLOT TWIST that has me SCREAMING: "None of it worked." But the chef's kiss? The absolute DRAMA? "But boy was it beautiful." I'm literally DYING at this peak programmer aesthetic - valuing beautiful, non-functional code over the ugly mess that actually runs. It's the coding equivalent of buying a gorgeous sports car that immediately breaks down in your driveway! 💀

The absolute state of enterprise software in 2024! This soap dispenser pumping directly onto a bar of soap perfectly captures how legacy companies implement AI - just slapping a chatbot on top of their ancient codebase without any actual integration. It's like putting racing stripes on a horse-drawn carriage and calling it "AI-powered transportation." The poor chatbot is just sitting there, desperately trying to make sense of 20-year-old spaghetti code written by developers who have long since retired to tropical islands.

Normal humans click YouTube links with the carefree abandon of someone who's never heard of tracking algorithms. Meanwhile, programmers are over here performing digital forensics before every click, paranoid that the recommendation algorithm is secretly building a psychological profile. The incognito tab isn't just a browser feature—it's our tinfoil hat against the machine learning overlords. Because nothing says "professional paranoia" like treating a cat video recommendation like a potential security breach.

When you ask two AI models the same basic math question and get completely opposite answers. Deepseek correctly identifies that 9.9 > 9.11 (treating them as decimals), while ChatGPT somehow thinks 9.11 > 9.9. This is why we still have jobs. For now. Nothing says "trust me with your critical systems" like failing elementary school math. Somewhere, a software engineer is using this screenshot in their slide deck titled "Why Human QA Still Matters".