How It Is Going

Behold, the classic tech startup lifecycle: "I built this with no-code tools!" → "Help, I'm being hacked because I have no idea what I'm doing!" Nothing says "technical founder" like bragging about using Cursor AI to build your entire SaaS product, then acting shocked when your security falls apart like wet toilet paper. Meanwhile, actual developers are charging $1,000/hour to clean up the AI-generated spaghetti code. The "I'm not technical" confession after claiming AI built everything is just *chef's kiss*. Turns out you still need to understand what you're doing. Who knew?

The circle of AI delegation is complete! Senior dev thinks they've discovered a brilliant management hack by treating juniors like neural networks and writing detailed prompts for them. Meanwhile, the junior is just copying those prompts straight into ChatGPT and letting the actual neural network do the work. It's basically prompt engineering inception - the senior dev is unknowingly prompt engineering for an AI through a human middleman who's adding zero value to the process. This is peak 2023 software development efficiency!

Modern problems require modern solutions! This dev is playing 5D chess with AI - opening tabs for ChatGPT, Gemini, Claude, Grok, and DeepSeek to ask them all the exact same coding question. Then the real programming begins: copy-paste each AI's answer into separate Python files, run them all, and cherry-pick the winner. It's basically Hunger Games for AI models. The ultimate "why debug your own code when you can make five AIs fight to the death for the correct solution?" approach. Bonus points for efficiency - why spend hours on Stack Overflow when you can delegate your decision paralysis to multiple neural networks simultaneously?

Ah, the classic Medium experience. Shows up all excited with pizza (free articles), only to discover the place is literally on fire with paywalled content, AI garbage, and people yelling at each other about tech stacks. Yet we keep coming back like digital masochists. The "Stop using X" articles are particularly chef's-kiss terrible—written by someone who used the technology for exactly 37 minutes before declaring it "fundamentally broken."

The grumpy old programmer rant is hitting different these days. You've got grandpa developer here reminiscing about the "good old days" when coding meant actually coding – typing every character, debugging with print statements, and using your actual brain cells instead of asking an AI to generate a React component for you. The "when X was called Twitter" reference is chef's kiss – perfectly dating this to the post-2023 era where we're all adjusting to new names and new tools. But the real kicker is the complaint about "no agent nonsense, no tokens" – referring to how modern AI-assisted coding involves API tokens, AI agents, and all sorts of middleware between you and your precious code. Sure, gramps, you wrote everything line by line. You also probably spent 3 hours debugging a semicolon and another 2 hours writing boilerplate that Copilot can now generate in 0.3 seconds. But hey, at least you were "doing the thinking" while manually implementing your 47th CRUD endpoint. The younger dev's "Ok, pops. Easy now" energy is all of us watching senior devs complain about modern tooling while secretly knowing they'll be using ChatGPT by next sprint.

When you're the only traditional coder at the family Christmas and your relatives finally understand what you've been trying to tell them for months! The kid is literally every "real programmer" opening their shiny new AI course gift only to discover the harsh truth. Meanwhile, the prompt-writing relatives are cackling because they've been making six figures by typing "make me a website that looks good" into ChatGPT while you're still debugging semicolons at 3 AM. The ultimate coding identity crisis of our generation!