https://lu.siney.top/ Hands-on writing on AI coding in practice. en https://lu.siney.top/laopao/vibe-coding-flow-game/en/ https://lu.siney.top/laopao/vibe-coding-flow-game/en/ Sat, 30 May 2026 00:00:00 GMT Flow isn't mystical — it's just treating the task in front of you like a game. Games pull you into flow through three things: exploration, randomness, and a sense of achievement. Vibe coding happens to stuff all three back into writing software, which is exactly why it's addictive. But the same loop that delivers flow can also turn you into someone yanking a slot-machine lever. The veteran's job is to use the mechanic, not be used by it. https://lu.siney.top/laopao/super-individual-taste-token-brain/en/ https://lu.siney.top/laopao/super-individual-taste-token-brain/en/ Sun, 24 May 2026 00:00:00 GMT The hottest 2026 narrative is the 'super individual' or 'one-person company'. Strip away the story and look at the structure: three deeply unequal resources decide whether you can pull this off — taste that defines product shape, ruthless compression of token spend, and a brain that simply cannot keep pace with AI. The first two are the price of entry. The third is the actual ceiling. https://lu.siney.top/laopao/ai-couple-shop/en/ https://lu.siney.top/laopao/ai-couple-shop/en/ Thu, 21 May 2026 00:00:00 GMT The strongest startup unit isn't a lone genius or a VC-backed team of ten — it's two people with deeply complementary skills. AI has collapsed the technical floor. What's actually scarce is user trust. The female partner's audience account is the optimal answer. https://lu.siney.top/laopao/ai-amplifies-mid-career/en/ https://lu.siney.top/laopao/ai-amplifies-mid-career/en/ Sun, 17 May 2026 00:00:00 GMT The default narrative says AI takes out mid-career first. Pull the data apart and the direction reverses — AI favors juniors on narrow, scripted tasks; it overwhelmingly favors mid-career on open-ended, ambiguous ones. Judgment, failure-smell, system thinking, organizational fluency: these four experience assets aren't replaced in the AI era. They get multiplied. https://lu.siney.top/laopao/ai-coding-digital-engineer/en/ https://lu.siney.top/laopao/ai-coding-digital-engineer/en/ Fri, 15 May 2026 00:00:00 GMT 「Our AI digital engineer is live」 posts are everywhere. Look closer: 90% is a chatbot with an avatar. The engineering underneath — persistent identity, long-term memory, autonomous loop, collaboration interfaces — is the real lever for organizational productivity in 2026-2028. https://lu.siney.top/laopao/ai-replaces-backend-first/en/ https://lu.siney.top/laopao/ai-replaces-backend-first/en/ Thu, 14 May 2026 00:00:00 GMT Everyone says frontend gets killed first. Wrong — AI eats backend first, native client last. Replacement speed isn't about code difficulty; it's about whether the full work loop closes in text. https://lu.siney.top/laopao/ai-coding-physical-bottleneck/en/ https://lu.siney.top/laopao/ai-coding-physical-bottleneck/en/ Wed, 13 May 2026 00:00:00 GMT Tokens stopped being the AI Coding bottleneck. In 2026 what slows you down is whether your monitors fit 5 active streams, whether your RAM holds 3 agents in parallel, and whether your network handles every API round-trip reliably. https://lu.siney.top/laopao/ai-coding-productivity-metrics/en/ https://lu.siney.top/laopao/ai-coding-productivity-metrics/en/ Mon, 11 May 2026 00:00:00 GMT Mainstream AI Coding metrics only measure the coding segment, missing the full pipeline. Breaking the SDLC into 6 phases shows real productivity gain is 15-30% (not 5x), and the bottleneck has moved to Review and testing.