ChatGPT Vs Programmers: First Time?

Left: "It took me a few minutes to make BibleGPT with custom GPT. Now? 5 seconds with Devin." Right: "Who is doubting thomas" → "Sorry, an error occurred while fetching your answer." Bottom: "It exposed my API key so I had to revoke :(" The AI dev tool pipeline in 2024: Build something in 5 seconds, deploy it in 2 seconds, expose your API keys in 1 second. Progress! This is why we can't have nice things in tech. The faster we build, the faster we leak credentials. The modern developer experience is just speedrunning security vulnerabilities.

The eternal struggle of being the tech person at a social gathering. There you are, trying to enjoy dinner with your spouse when suddenly their friends ambush you with questions about some obscure tech they heard about on a podcast. DeepSeek-R1 is actually a large language model (like ChatGPT's cousin), but to non-tech people, it might as well be alien technology. Meanwhile, your spouse has seen this movie before and knows exactly how the next hour of conversation will go—you reluctantly explaining machine learning concepts while your food gets cold. Ten years in the industry and I'm still the default tech support/explainer at every gathering. The dog represents my inner self—just wanting to be petted and fed treats instead of discussing transformer architectures over appetizers.

Tech companies promising "democratized AI for everyone" until you ask about pricing is the tech industry's oldest bait and switch. Sure, they're "being honest" about making AI available—just conveniently forgetting to mention it'll cost you the equivalent of a car payment. And that awkward moment when the customer actually thanks them for the privilege of being financially drained? Pure Stockholm syndrome that every product manager dreams of.

When your fitness app gets confused about its purpose in life and starts moonlighting as a React developer. Poor guy just wanted to track a 10.1 mile run but got hit with a full-blown Todo app implementation instead. The simple "No" response is the digital equivalent of telling your GPS "I just wanted directions, not your life story." Honestly, the most relatable programming moment is when AI tries to be helpful but completely misses what you actually asked for. Bonus points for the fitness app that thinks React components are somehow related to physical fitness. Maybe it's trying to exercise your coding muscles?

The perfect karma loop: we write garbage code, feed it to AI, then act shocked when AI spits garbage back at us. It's like teaching a parrot all your worst swear words and then being offended when it curses at your in-laws. The AI didn't invent bad code—it just holds up a mirror to our collective coding sins. Next time you're cursing at GitHub Copilot's suggestions, remember: that monstrosity is built on the foundation of your stackoverflow copy-paste crimes.

Oh look, it's the modern developer's daily ritual! That moment when you check what you stepped in and discover it's not regular garbage—it's AI Generated SQL . The perfect representation of what happens when you let AI write your database queries. Sure, it looks like SQL from a distance, but examine it closely and you'll find a horrifying abomination that would make even the most battle-hardened DBA weep. Nothing says "I've made terrible life choices" quite like debugging code that was hallucinated by an algorithm with the database knowledge of a caffeinated squirrel. Next time just write the query yourself, unless you enjoy explaining to your boss why the production database is suddenly identifying as a toaster.