https://cuigh.com/tags/hacker-news/ Recent content in Hacker News on AI Pulse Hugo en-US Mon, 15 Jun 2026 11:20:00 +0800 https://cuigh.com/posts/paulgraham-earn-billion-2026/ Mon, 15 Jun 2026 11:20:00 +0800 https://cuigh.com/posts/paulgraham-earn-billion-2026/ PG's June Oxford Union talk, posted to his site June 14, blew up to 478 points and 1,329 HN comments. From a regular reader's view, here are his 3 most contested claims and the best long-form rebuttals from the comment thread. https://cuigh.com/posts/fablepool-crowdsourced-ai-builds-2026/ Fri, 12 Jun 2026 14:20:00 +0800 https://cuigh.com/posts/fablepool-crowdsourced-ai-builds-2026/ Twenty-four hours after Claude Fable 5 launched, a Show HN project called FablePool rocketed to the top of Hacker News with 348 points and 181 comments. The idea: strangers chip in behind a prompt, an AI agent builds the product in public, every token spent is on a public ledger, and the output ships under MIT. The hottest thread on the page isn't about the product, it's about 'who even owns code that an AI wrote.' Read this against Zara Zhang's 'I'm the home cook of programming' thread from the same week, and the real story falls into place. FablePool didn't break the development workflow. It broke the idea that the professional developer is an irreplaceable executor. https://cuigh.com/posts/ai-engineers-moat-eroded-2026/ Mon, 08 Jun 2026 09:15:00 +0800 https://cuigh.com/posts/ai-engineers-moat-eroded-2026/ On June 6, 2026, a 10-year finance-and-payments backend engineer posted a quiet essay on Bear Blog about the three moats he spent a decade building — domain expertise, debugging, code taste — and how LLMs took them away from him. It hit HN #11 at 787 points and 768 comments. We open up the argument. https://cuigh.com/posts/agent-middleware-2026-github-middle-layer/ Wed, 03 Jun 2026 10:05:00 +0800 https://cuigh.com/posts/agent-middleware-2026-github-middle-layer/ Looking at headroom, codegraph, and agentmemory topping GitHub Trending this week — and what they say about why AI Agents stall. The bottleneck isn't the model. It's the plumbing.