Because Agent Don't Want To PM

For decades, error handling was that thing everyone nodded about in code reviews but secretly wrapped in a try-catch that just logged "oops" to console. Nobody wrote proper error messages, nobody validated inputs, and stack traces were treated like ancient hieroglyphics. Then AI showed up and suddenly everyone's an error handling expert. Why? Because when your LLM hallucinates or your API call to GPT-4 fails, you can't just shrug and refresh the page. Now you need graceful degradation, retry logic, fallback strategies, and detailed error context. The massive book represents all the error handling knowledge we should've been using all along. The tiny pamphlet is what we actually did before AI forced us to care. Nothing motivates proper engineering practices quite like burning through your OpenAI API credits because you didn't handle rate limits correctly.

Ah yes, the classic "I met a teenager who built a $600k/month arbitrage bot with AI that worked on the first try" story. Right up there with "my cousin's friend invented blockchain 2.0 in his garage." The beautiful part is the escalating absurdity: design doc → Cursor → Sonnet 4.5 → boom, instant money printer. No debugging, no edge cases, no "wait the API changed" moments. Just pure vibes and arbitrage. The $400k Christmas bug that got fixed during dinner is chef's kiss territory—because nothing says "legitimate trading operation" like losing half a million dollars and casually patching it between turkey and dessert. Running it under mom's Polymarkets account is the cherry on top. SEC investigators love that one weird trick. The punchline "None of this ever happened btw" is unnecessary—we all knew from "worked on the first try."

Content Your first podcast will be awful Your first video will be awful Your first article will be awful Your first art will be awful Your first photo will be awful Your first game will be awful But your first code will be perfect. Zero bugs and a very clean code. It will be "Hello World" Me: ››> Print ("Hellow World!") Traceback (most recent call last): File " ", line 1, in Print ("Hellow World!") NameError: name 'Print' is not defined >›>

ChatGPT spent 69 minutes and 42 seconds "thinking" just to tell you "You can't." That's like watching your senior architect stare at the whiteboard for over an hour during a planning meeting, only for them to turn around and say "nope, not possible" without any further explanation. The irony here is beautiful. Someone's trying to install CUDA 12.1 on Ubuntu 24.04, and the AI that supposedly saves you weeks of work just burned over an hour to deliver the most unhelpful two-word response possible. No workarounds, no alternatives, no "but here's what you CAN do" — just pure, unfiltered rejection. You could've googled this, read three Stack Overflow threads, tried two wrong solutions, and still had time left over to make coffee. But sure, let's call it "incredible" and a "solid product." The future of development is waiting 69 minutes for a chatbot to say no.

So AI code reviewers have reached that special level of insufferable where they're nitpicking globally-scoped cursors while your code actually works. The AI's sitting there like "No offense, but..." and then proceeds to take maximum offense at your perfectly functional implementation. You know what's wild? The code runs. Tests pass. Users are happy. But ChatGPT over here is having a full meltdown because you didn't follow some arbitrary best practice it scraped from a 2019 Medium article. It's like having a junior dev who just finished reading Clean Code and now thinks they're Robert C. Martin. The real kicker is that AI will roast your working code but happily generate complete garbage that looks pretty. It'll suggest refactoring your battle-tested function into seventeen microservices with dependency injection while casually introducing three race conditions. But hey, at least the cursor isn't global anymore.

The dystopian future is here! Picture this: You're coding away, but instead of just watching your cursor blink while your AI agent generates code, you're forced to watch ads about "10 Weird Tricks to Fix Merge Conflicts" and "Hot Singles in localhost Area." It's the perfect business model - you stare blankly at ads for questionable crypto projects while your AI assistant does all the work and burns through tokens that YOU pay for with your attention. Next up: IDEs that make you solve CAPTCHAs every time you want to compile. "Select all images with semicolons that should actually be commas."