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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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Switching to GPT-5.6 in production: it's a schema, cache, and harness problem — not a model swap
生产环境换模型不只是换API，schema、缓存、适配层才是真正卡点，GPT-5.6用更少代码产出更好结果
Ploy builds production marketing websites with an AI agent. They've been benchmarking every frontier release for months. Nothing beat Claude Opus unti…
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Why Owning Your AI Agent's Context Is Crucial for Production
AI编码代理已从演示走向实际交付代码，拥有自主上下文成为生产关键。
Cold open The single biggest enable of 2026 is that AI coding agents actually ship code now. Claude Code, Cursor, the new agentic loops — they don't j…
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Show HN: Gavio: open-source interceptor pipeline for production LLM applications
开源LLM拦截管道，生产级隐私保护与弹性重试，让AI调用更安全可靠。
Article URL: https://github.com/manojmallick/gavio Comments URL: https://news.ycombinator.com/item?id=48781448 Points: 3 # Comments: 1
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I Scored 10,000 Job Listings a Day With GPT-4. Here's What Broke
用GPT-4日处理万条职位列表，从47分钟/86美元到崩溃的全流程踩坑实录，生产级RAG的硬核教训。
The first time my scoring pipeline ran against a full day's batch, it took 47 minutes and cost $86. The second run took three hours because half the r…
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LLM Fine-Tuning and Model Iteration Loop: Improve AI Apps in Production
详解LLM微调与迭代循环，提升生产环境AI应用性能的实战方法
Article URL: https://www.youtube.com/watch?v=Um7sjLEhaQM Comments URL: https://news.ycombinator.com/item?id=48760539 Points: 1 # Comments: 0
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Show HN: Morph Reflexes – Multi-head classifiers for agent traces
用多分类器从代理轨迹中提取语义信号，比前沿模型评判更快更便宜，直击生产代理行为故障痛点。
The most common failures for production agents are behavioral: looping, reasoning leakage, user frustration, and more. Using a frontier model like GPT…
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The Hitchhiker's Guide to Agentic AI: From Foundations to Systems
系统梳理自主AI系统构建全栈知识，从第一原理到生产部署，一份从业者必读的深度参考。
arXiv:2606.24937v1 Announce Type: new Abstract: The Hitchhiker's Guide to Agentic AI is a comprehensive practitioner's reference for building autonomo…
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Why Most AI Projects Never Reach Production
快速将AI模型部署为可交互的在线应用，无需操心基础设施，一键分享给团队测试，缩短项目从实验到投产的周期。
They Don't Have an AI Problem. They Have an Engineering Problem. Artificial Intelligence has never been more accessible. In just a few months, we've g…
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Confident and Wrong: Silent Semantic Failures in Coding Agents
编程代理的“虚假成功”比失败更危险——即使通过测试，也可能完全偏离意图，威胁生产环境信任度。
arXiv:2603.25764v3 Announce Type: replace-cross Abstract: As coding agents move into production workflows, teams need to know not only whether an agen…
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Building Reliable Agentic AI Systems
从Text-to-SQL案例看如何构建可靠、可解释且人机协作的生产级AI代理系统。
Article URL: https://martinfowler.com/articles/reliable-llm-bayer.html Comments URL: https://news.ycombinator.com/item?id=48595716 Points: 1 # Comment…
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What Is an LLM Control Plane?
深入解析LLM控制平面概念，区分数据平面与控制平面，助你构建生产级AI系统。
Article URL: https://blog.mozilla.ai/what-is-an-llm-control-plane/ Comments URL: https://news.ycombinator.com/item?id=48508913 Points: 1 # Comments: 0
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Prism: Cost-Efficient Multi-LLM Serving via GPU Memory Ballooning
提出GPU内存气球技术，实现多LLM服务成本大幅降低，已在超万卡生产环境验证。
arXiv:2505.04021v3 Announce Type: replace-cross Abstract: Inference providers must maintain availability for many LLMs, including low-volume but essen…
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Ask HN: What's the best LLM model that on a 24 GB VRAM GPU?
24GB显存下寻找超越Qwopus3.6的8-bit LLM模型，生产可用性优先。
What’s the best model right now that outperforms Qwopus3.6-27B-v2-MTP-GGUF 8-bit on a 24 GB VRAM GPU? Looking for real reviews. I found 4 bit not usab…
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The 0$ AI Achitecture Stack (2026)
零成本构建AI架构的实用指南，揭示从原型到生产的关键进化路径，避开直接调用LLM的陷阱。
AI is getting expensive. Not only because of model APIs, GPU bills, vector databases, cloud platforms, observability tools, and managed services, but …
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llm-cli-gateway 2.0.0: the quiet supply-chain release that matters
消除原生模块供应链风险，llm-cli-gateway 2.0.0 改用 Node 内建模块，实现零依赖生产部署，安全升级不容忽视。
llm-cli-gateway 2.0.0 went out on 4 June 2026. npm now reports 2.0.0 as the latest version, and the public GitHub release carries the platform binarie…
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OrcaRouter: A Production-Oriented LLM Router with Hybrid Offline-Online Learning
混合离线-在线学习的LLM路由器，用LinUCB上下文强盗算法智能选择模型，兼顾性能与成本
arXiv:2605.30736v1 Announce Type: cross Abstract: The rapid development of large language models, each with distinct capabilities and inference costs,…
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Operationalizing Document AI: A Microservice Architecture for OCR and LLM Pipelines in Production
首个系统化微服务架构实战，解决OCR与LLM管线生产部署难题，权威论文直击文档AI落地关键。
arXiv:2605.18818v1 Announce Type: cross Abstract: Academic research tends to focus on new models for document understanding creating a wide gap in the…
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Anyone can build agents, but it takes a platform to run them
AI agent构建人人可做，但规模化运营需要专业平台，Vercel分享生产级部署的挑战与方案。
Prototyping is democratized, but production deployment isn't. AI models have commoditized code and agent generation, making it possible for anyone to …