The author describes a shift in mindset from using AI prompts to treating tools like Claude Code as coworkers, which improved their productivity and engagement with AI capabilities.
I've been messing around with gpt, claude and Claude Code for a while, and I think i finally figured out what I was doing wrong. I was way too focused on prompts only. I'd ask something, get an answer, tweak the prompt, ask again, tweak it again... and somehow spend more time managing Claude than actually getting stuff done.What changed for me was basically treating it less like Google and more like a coworker. With Claude Code especially, I started giving it the actual context, letting it look through the project, explaining what I'm trying to do, and then letting it work through the problem. That was a pretty big "ohhh" moment. And then I started realizing how much more you can actually do with this stuff. It's not just "write me some code." You can give it a whole project, let it look through the files, make changes, test things, fix stuff, and keep going back and forth with it. I came across someone who used Claude Code to build a 9,700-page property website, which honestly blew my mind a little. I've also been going down a rabbit hole of people who actually build things with AI instead of just collecting prompt lists. That's how I came across Trent Calloway. Some of the stuff he was doing made like in operator pbk me rethink what I was actually trying to get out of AI. I didn't really expect much at first, but it helped me move away from "what prompt should I use?" and towards "what can I actually make this do for me?" That shift has probably helped me more than any prompt I've saved. Now I find myself asking: "Can I just make this whole thing easier?" Instead of spending an hour doing something manually, can I get Claude to handle most of it? That's where this stuff gets really interesting to me. What was the thing that made AI finally click for you? Claude? Claude Code? Agents? Or something completely different? Because I feel like I'm still figuring this stuff out lol
The author reflects on his journey from manually typing code on a vintage Macintosh to embracing AI-powered code completion tools like Copilot and Claude, concluding that while the AI industry is problematic, the technology itself can be useful.
The author reflects on how AI tools became truly useful when they stopped requiring step-by-step instructions and instead autonomously handled multi-step tasks, shifting from being micromanaged to being delegated to.
Mitchell Hashimoto shares his phased journey from AI skepticism to effectively using AI coding agents like Claude Code, emphasizing that real value comes from agents over chatbots and detailing practical steps to integrate AI into a developer's workflow.
Anthropic introduced Reflect, a dashboard for Claude that tracks and visualizes AI usage patterns, aiming to frame AI as a productivity tool while promoting mindful usage through features like quiet hours and usage nudges.
An Anthropic engineer discusses the shift from prompting to AI engineering, emphasizing agents and self-improvement systems, with a live demonstration of setting up Claude Code.