Diving into the AI rabbit hole felt like showing up to a high-stakes poker game with Monopoly money. There I was, armed with nothing but my trusty laptop, ready to spar with this digital brainiac that could spit out answers faster than I could type my questions. But here’s the kicker: for every lightning-fast response from AI, I found myself tumbling down a research rabbit hole, verifying its claims like I was double-checking a rookie’s homework. Hours evaporated like soda on a hot sidewalk, all in the pursuit of truth in a sea of AI-generated half-truths and maybes. It’s a bizarre world where the line between man and machine gets blurrier by the second, leaving me feeling like I’m playing catch-up with a robot that’s got a head start in a marathon I didn’t even realize I was running.

Embarking on the quest to decipher server logs is akin to Indiana Jones delving into ancient ruins, except instead of searching for a mystical artifact, software developers are hunting for elusive bugs and errors hidden within endless lines of text. It’s a journey through a dense jungle of information, where every line is a potential clue, every error message a hidden trap, and the treasure is a smoothly running system.

Pull requests (PRs) is the modern Colosseum of software development. Here, code meets its fate at the hands of fellow gladiators—your peers. And nothing quite brings the drama of ancient Rome to modern coding like the dreaded “request for change” button, especially when it’s because your PR lacks tests.

When I was executing on a side project, I found myself easily being trapped in certain thinking patterns, which "sucks" lots of my energy and time without producing values.

There are lots of content generated on the web now. If you read about the book The Art Of SEO, it touches so many aspects about SEO and human intent.