You Are On Your Own

Nothing like the sweet smell of career arbitrage in the morning. Just slap "AI" on your LinkedIn profile and watch your market value triple while recruiters trip over themselves to throw gold bars at you. Meanwhile, you're still running the same SQL queries and data pipelines you were last week, but now you're an "AI visionary" commanding a small fortune. The industry's collective amnesia about what skills actually matter is the gift that keeps on giving. Capitalism at its finest, folks.

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The tech workplace hierarchy decoded in grid form! Each IT role has their own unique perception of colleagues, ranging from admiration to outright hostility. Developers see designers as children, while security views everyone as potential threats. QA's perspective is particularly brutal—seeing developers as headache-inducing and project managers as chaotic mobs. The most accurate row might be the sysadmins, who apparently view security folks as actual traffic cops stopping everything. It's basically a documented proof that we're all silently judging each other while pretending to collaborate. The cross-functional team meeting just got awkwardly real.

Content Do you trust this fandom Github repo that has a 0.05 chance of solving your problem? With every cell of my body,

Backend devs living that invisible life where their entire career is just terminal windows and Postman screenshots. Meanwhile frontend folks are out here with their flashy portfolios full of animations and gradients, while backend engineers are like "here's a cURL command that returns JSON, trust me bro it's scalable." The struggle is real though. How do you flex your microservices architecture and database optimization skills in a portfolio? "Look at this beautiful 200 OK response!" doesn't quite hit the same as a parallax scrolling landing page. Your masterpiece is a perfectly normalized database schema that nobody will ever see or appreciate. The monitor is blank because the real work happens in the shadows—where APIs are crafted, servers are optimized, and race conditions are debugged at 3 AM. No visual proof, just vibes and a GitHub commit history that screams "I know what I'm doing."