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福特 CEO 法利：美国应吸取欧洲教训，审慎对待中国车企入美
IT之家 10 月 1 日消息，据 CNBC 报道，福特汽车首席执行官吉姆 · 法利于当地时间周二表示，美国政界人士在考量是否允许中国车企进入美国市场时，应当吸取欧洲的经验教训。他同时提醒称，欧洲如今已经“为时已晚（too late）”，但美国市场尚且还有机会。 “我认为当下我们务必要审慎行事、三思…
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OpenAI 吸取“AI 越狱”事件教训，首个达“关键”门槛模型 Astra 因能力过强将限制网络安全功能
IT之家 9 月 2 日消息，OpenAI 于当地时间 9 月 1 日宣布，该公司计划“很快”推出下一代 AI 模型 Astra，但将严格限制该模型网络安全功能的使用范围。 据介绍，Astra 是 OpenAI 旗下首个达到其《准备框架》（Preparedness Framework）中“关键”（C…
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CDPR 吸取《赛博朋克 2077》主机平台性能不佳教训，同步开发多平台版本《巫师 4》游戏
IT之家 8 月 31 日消息，在接受外媒 Game Developer 采访时，CD Projekt 联合首席执行官 Michal Nowakowski 表示，目前工作室正同时开发面向不同平台的《巫师 4》游戏版本，希望避免《赛博朋克 2077》发售时主机版本性能不佳的情况。 Michal Now…
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Episode 1 — The Friday Deploy
周五傍晚的一次生产部署，一句话点破“临时修复”背后的风险，值得每个开发者细品。
Week 1. "Today you'll shadow me during a deployment." What You'll Learn By the end of this series, you'll be able to explain confidently: What actuall…
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LLM Works. Your Product Probably Doesn't
LLM技术强大，但你的产品可能根本没用好它——别把模型能力当产品能力
Article URL: https://saito.ai/llm-harness/ Comments URL: https://news.ycombinator.com/item?id=49112662 Points: 1 # Comments: 0
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What I Learned After Building AI Systems Across Multiple Brands
多品牌AI系统实战经验，用现实教训告诉你AI不解决烂系统，附超万条提示词管理方法
One of the biggest misconceptions about AI is that every project is unique. At first glance, it certainly feels that way. One project is a chatbot. An…
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When AI agents get you kicked out from a YC Startup
AI agent搞出乌龙，导致被YC创业公司开除的真实故事，看技术如何翻车
Article URL: https://github.com/vaishcodescape/shipd-agent Comments URL: https://news.ycombinator.com/item?id=48796341 Points: 1 # Comments: 0
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A Cautionary Rusty Tale
用Rust构建AI文档生成工具，一年半前的技术选型与LLM剧变，满满教训与反思。
Hi! My name is Sergio Tortosa, and I made my AI-powered documentation generation ...in Rust. Take into account I started this a year and a half ago, w…
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The One Mistake That Made My First 2000+ GitHub Issues Almost Useless
管理2000+ GitHub Issues的致命错误：只堆信息不搞分析，教你如何避免沦为无用数据。
If you've ever opened a GitHub repository with hundreds—or even thousands—of issues, you've probably experienced the same feeling I did. Where do you …
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"AI Real World" vs. "AI Twitter World" in Game Development
揭秘游戏开发中AI的真实表现，拆解失败实验与生产教训，远离炒作看清落地真相。
Article URL: https://blog.luden.io/ai-agents-in-game-development-real-production-lessons-failed-experiments-and-workshop-101-7d71e64685fa Comments URL…
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Lessons Learnt from Writing an AI Agent
从实战中总结的AI代理开发教训，强调服务化与Token管理的重要性。
Article URL: https://www.browserless.io/blog/writing-an-ai-agent Comments URL: https://news.ycombinator.com/item?id=48575480 Points: 6 # Comments: 0
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Ask HN: How have you gotten burned by coding agents?
开发者集体吐槽AI编码代理翻车现场，真实避坑经验总结。
Comments URL: https://news.ycombinator.com/item?id=48580171 Points: 4 # Comments: 1
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Ask HN: What is your worst lesson learned from using AI?
Hacker News热帖：过来人分享AI使用中踩过的坑，真实教训值得警惕
Comments URL: https://news.ycombinator.com/item?id=48569970 Points: 3 # Comments: 4
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Show HN: What two months of building a B2C app taught me
两个月B2C应用开发的血泪教训，创业者必看的避坑指南
Article URL: https://twitter.com/moritzbuildz/status/2065383556268896480 Comments URL: https://news.ycombinator.com/item?id=48502348 Points: 2 # Comme…
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Multilanguage good practices.
最佳实践也有保质期，一个Astro多语言项目的i18n经历揭示了关键教训。
My i18n Setup Was Right. Until It Wasn't. Best practices have an expiry date. They expire silently. I'm building a 4-language landing page for a clien…
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4 hard lessons from building a self-hostable, open-source AI agent runtime
自托管开源AI代理运行时的4个硬核教训，聚焦数据主权与可控性，不玩魔法玩控制层。
When I started building omadia — an open-source (MIT), self-hostable runtime for composing AI agents out of plugins — I assumed the hard part would be…
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I Accidentally Spent $400 on GPT-4o in One Month. Here's How to Never Do That.
花了400美元才学会的GPT-4o API省钱血泪教训，3分钟掌握避坑方法
Last year I deployed a GPT-4o powered support chatbot for a small SaaS. Traffic was modest — maybe 500 active users. I checked the OpenAI bill at the …
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Hard-Won Lessons from a Year of Using AI
一位资深AI用户一年实战的反思与避坑指南，教训深刻，值得所有实践者参考。
Article URL: https://spin.atomicobject.com/lessons-year-ai/ Comments URL: https://news.ycombinator.com/item?id=48353936 Points: 1 # Comments: 0
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I spent a year building agent memory on knowledge graphs. Here are my 5 mistakes
一年构建知识图谱记忆层总结：从随大流到踩坑，公开5个关键错误供避坑。
I spent the past year building a unified memory layer for my AI agents using knowledge graphs and ontologies on top of MongoDB. I followed every trend…
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Lessons from Shipping Persistent Memory for AI Agents
从客户一句话到落地原型，AI Agent持久化内存的实战经验与教训
Article URL: https://www.pingcap.com/blog/how-we-built-mem9-agent-memory-product/ Comments URL: https://news.ycombinator.com/item?id=48332053 Points: …