Readme Engineer

Remember when we had to actually learn how to add two numbers? Now it's just OpenAI.chat("Sum of #{a} + #{b}") and call it a day. The terrifying part? This probably works better than half the arithmetic functions I've written in my 15-year career. Next they'll be asking ChatGPT to explain their own code to them during performance reviews. Evolution isn't always progress, folks.

The ultimate video compression algorithm! This dev created a function that identifies and removes "unnecessary" frames from movies—and apparently decided that 99.9999% of Fast & Furious is just excessive explosion footage. The algorithm is technically correct (the best kind of correct)—if you strip out everything except the plot, you're left with approximately 0.042 seconds of content. Reminds me of that time I optimized our codebase by deleting all the comments, whitespace, error handling, and user interface. Ship it!

When the junior dev rolls in with their AI-generated masterpiece that "totally works" and you have to break the news that shipping features is maybe 20% of the job. The other 80%? Maintaining the damn thing without wanting to burn down the codebase. Sure, ChatGPT can spit out a React component in 3 seconds, but can it refactor that nested ternary hell six months from now when the requirements change? Can it explain to the PM why the "simple feature" is causing memory leaks in production? Can it sit through the 2 AM incident call when everything breaks? Real engineering isn't about cranking out code fast—it's about writing code that doesn't make future you (or your teammates) question their career choices. Tech debt isn't sexy, but it's the difference between a system that scales and a dumpster fire with a Vercel deployment.

From writing a simple three-line function to importing an entire AI SDK just to check if a string starts with a capital letter. The evolution of developer laziness is truly magnificent. The 2022 version is straightforward: check if the string has length, then compare the first character to its uppercase version. Done. Ship it. But fast forward to 2027, and we're apparently so burnt out that we need Claude (with 5 MILLION tokens and "ultramaxmegathink" mode, because regular thinking is for peasants) to solve basic string manipulation. The best part? After all that elaborate prompt engineering where you gaslight the AI into thinking it's a "capitalization expert" who's been "studying capitalization for years," you still have to parse the response, trim it, convert to lowercase, and check if it equals 'true'. So you've replaced str[0] === str[0].toUpperCase() with approximately 20 lines of async API calls, error handling nightmares, and a monthly bill that could fund a small startup. The "thinking: 'ultramaxmegathink'" parameter is the cherry on top—because apparently even AI needs to be told to think REALLY hard about whether 'A' is uppercase.

Silicon Valley has officially reached peak dystopia, and honestly? It's both hilarious and terrifying. Developers are now wearing noise-canceling masks just to dictate prompts to AI without disturbing their coworkers who are ALSO talking to their AI overlords. Because apparently, we've collectively decided that typing is so 2023. The prophecy continues: soon we'll need feeding tubes, breathing tubes, and probably a tube for existential dread. At this rate, programmers will just be human batteries plugged into a wall while ChatGPT does all the actual coding. The Matrix isn't coming—it's already here, and it's wearing a pink t-shirt in a suspiciously aesthetic apartment with perfect lighting and strategically placed plants. Remember when "programming" meant actually writing code? Yeah, those were simpler times. Now it's just competitive prompt engineering while cosplaying as Bane from Batman.

The classic "Asian parent expectations" trope gets a hilarious AI twist! Dad barging in with "YOU AGI YET?" while his son defends himself with "NO DAD, I'M AN LLM" only to be dismissed with "TALK TO ME WHEN YOU AGI." For the uninitiated: LLMs (Large Language Models) like ChatGPT are impressive but limited, while AGI (Artificial General Intelligence) is the holy grail that can think/reason like humans across all domains. It's like comparing a calculator to an actual mathematician. The crushing disappointment in Dad's eyes says it all... "My neighbor's AI is already solving quantum physics and you're still just autocompleting text? Shameful!"