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591 posts
@winneravgwin
Dreaming of infinity allows you to achieve limitless results. ▎Researching Agentic AI ▎@ClaudeAI · @OpenAI 바이브코딩·자동화·트레이딩 실험 글🥷
Claude Code Reviewで150万円溶けたとのこと。怖っ
“I don’t think I’ve typed a line of code since December.” When Andrej Karpathy said that, most people treated it like a crazy AI quote. @garrytan treated it like a question: “What happens when one person operates like an entire software team?” Then he built gstack. And honestly… this repo feels less like a dev tool and more like a preview of where software is going. Not AI as autocomplete. AI as: - CEO - Staff engineer - QA lead - Security reviewer - Designer - Release manager - Browser operator - Parallel execution layer All coordinated through structured workflows. The craziest part is the numbers. Garry says his current pace is ~810× higher than his 2013 output — normalized for logical code changes, not inflated AI LOC. Same person. Same brain. Different tooling. That’s the shift everyone is underestimating right now. The winners in the next era probably won’t be the people who code the fastest. They’ll be the people who can direct, review, and orchestrate AI systems the best. A few things in gstack that genuinely stood out to me: → /office-hours challenges your product assumptions before you build → /autoplan runs CEO + design + eng reviews automatically → /qa opens a real browser, tests flows, finds bugs, and fixes them → /review catches production-level issues before shipping → /pair-agent lets multiple AI agents collaborate together → parallel AI sprints running at the same time across projects This is the first open-source repo in a while that actually made me stop and rethink how software teams will work 2–3 years from now. We’re moving from: “AI helps developers code” to “developers operate systems of AI workers.” That’s a very different future. 100% Open-source Link in comments 👇
