AI: Demo Magic Vs. Production Chaos

Pick your poison: the light dose of "Trust Me Bro" with 300 API tokens, or go full nuclear with Codex FORTE's 600 tokens of "It Works On My Computer" energy. Both come with the same delightful side effects—technical debt that'll haunt your dreams, security holes big enough to drive a truck through, code so unmaintainable your future self will curse your name, and the cherry on top: unemployment. The pharmaceutical parody nails that feeling when you're shipping code on blind faith versus slightly more blind faith with double the confidence. Either way, you're playing Russian roulette with production, but hey, at least the FORTE version has twice the tokens to generate twice the problems. The best part? Neither option includes "actually tested and documented" as an ingredient.

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.

Just build your own trillion-parameter AI model with a small indie team of 3 developers over the weekend! It's basically like making a to-do app but with more math. The creator's "What do you mean" response is the digital equivalent of watching someone suggest building a rocket to Mars using duct tape and a leaf blower. Turns out, recreating cutting-edge AI systems requires slightly more than Stack Overflow and energy drinks.

The brutal truth about software development methodologies in their natural habitat: Waterfall: Start with nothing but wheels, then add an axle, then suddenly you have half a car, and finally—after months of sequential development—you get the complete vehicle. Just hope the requirements didn't change while you were building it! Agile: Begin with a skateboard, upgrade to a scooter, then a bike, then a quad bike, and eventually deliver a car. Each iteration is technically usable, but try explaining to your client why they're commuting on a skateboard when they ordered a sedan. AI: Start with a bizarre Frankenstein's monster of a vehicle that's half green, half pink, with random parts attached. Keep training it on more vehicles until it eventually... disassembles itself? The final product bears only passing resemblance to what anyone actually wanted, but hey, it was built in 1/10th the time!

Ah yes, the pinnacle of modern software engineering: "Just dump your entire codebase into an AI and pray." Because nothing says "professional developer" like treating your source code like a desperate college essay you need fixed the night before it's due. Who needs code reviews, debugging skills, or understanding your own code when you can just throw the whole mess at an AI and let it sort through your spaghetti logic? Next up: "Submit your entire database as a tweet and wait for hackers to optimize it for you!"

The time traveler has been spotted! ChatGPT launched in 2022, but apparently Courage was the beta tester back in '96. That old computer wasn't running Python or JavaScript—it was running pure anxiety. The irony of a "cowardly" dog secretly being the first AI prompt engineer is just *chef's kiss*. Developers today think they're revolutionary for asking an AI to write their regex, meanwhile Courage was probably using it to generate excuses for Eustace about why the farm's network was down again.