I automated my workflows to "save time" and enjoy life. Instead, I just fell down the ultimate 24/7 rabbit hole. Because I can build 10x faster, I just took on 10x more work. I save 2 hours a day, just to spend 4 hours building the next automation. When I’m not coding, I’m scrolling forums and YouTube to keep up with the pace. Sure, this tech is a massive cheat code for making money and scaling business. But from a time perspective? I am officially trapped in a black hole. Be honest... who else is building at lightspeed 24/7?

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Hey community, Check out the image – this is a graphic estimate of how crazy costs could spike for heavy users. Starting June 1st, GitHub Copilot is dropping its classic model and switching to pay-per-use AI Credits. Anyone using tools like Claude Code knows that vibe coding already has its limits because of massive context windows. But right now, we’re still paying a flat monthly fee, which sucks when you hit a wall, but it’s still a total breeze compared to paying raw dollar amounts for every single token straight out of pocket. But here’s the reality check: this "cheap vibe coding" era is going to end soon. Right now, it's affordable for almost everyone because tech giants are just burning cash to collect our data and hook us on their ecosystem. Once they're done training on us, flat rates are dead and we're paying full price for real usage. OpenAI and the rest will definitely follow. Which brings up a super interesting question: Is pure manual coding about to make a massive comeback? Pure vibe coding generates insane code bloat, technical debt, and a massive token bill from constant trial-and-error. Once we pay per token, a junior burning hundreds of dollars to guess their way through a codebase becomes a financial liability. Suddenly, a senior who actually thinks and writes clean, precise, hand-written code by hand isn't just better for performance they're the cheaper option for the company. This is purely just my take on where things are heading, but I’m super curious what everyone else thinks. Let me know in the comments! 👇

Just dropped a new course in the classroom and I'm pretty pumped about this one. It's the full step-by-step on building your own AI OS. Same exact setup I use every day to run the YouTube channel, the community, and my team. 8 lessons, all my templates and prompts, plus a free GitHub repo so you can skip the boring setup and just start building. To unlock it in the classroom, you just need to hit level 3 in the community. Honestly pretty easy: - Drop an intro post if you haven't yet - Engage with a few other members in the threads - Help somebody out who's stuck on something That's pretty much it. Get to level 3 and the whole thing opens up. See you in there. - Nate

Andrej Karpathy just joined Anthropic, and the why behind it is way more interesting than the headline. In this video I break down how Karpathy's recent work on context engineering, the LLM Wiki, and /goal-style autonomous loops lines up almost perfectly with what Claude Code has already been shipping. Then I share three predictions for where Anthropic goes from here, including a possible app store for context and an education layer for packaging your own workflows.