别轻信AI助手的“已完成”，它可能和“未完成”一样爱说谎，亲手核对产物才是硬道理
There is a well-worn rule for running agents: don't trust the agent when it says it finished. Go look at the artifact. Good rule. We follow it. It did…
后端工程师亲述 Claude 实战用法：不只生成代码，更要它解释推理过程，值得每一个用 AI 写代码的人学习。
For a while, I treated Claude like a fancy autocomplete — ask a question, paste the answer, move on. That approach worked, but it wasn't until I slowe…
别再甩锅给模型了，工具Schema设计才是Agent翻车的重灾区。
Originally published on Loop & Retry — field notes on building LLM agents that survive production. Most agent bugs I've chased weren't in the mode…
九大模型组阁写金融日报，实战拆解多模型协作的崩溃点与修复术
Article URL: https://marketdaily.ai/blog/eng-llm-council-judge-en-202608 Comments URL: https://news.ycombinator.com/item?id=49182639 Points: 3 # Comme…
大模型的空间推理短板如何补救？HN 上工程师晒出 3D 打印实战难题，围观各路高手支招。
I'm working on a complex multi-part 3D-printed product, and I needed some engineering input from LLMs. I use highest Gemini Pro reasoning levels, Fabl…
GitHub工程师详解如何用向量化把源码大小写折叠提速到内存极限，性能优化实战范例。
How a branch-free loop and byte-space arithmetic let GitHub case-fold every byte of code search at >45 GiB/s on a single core. The post Don’t st…
从2021年萌芽到2024年成型，LLM路由器正从小众技巧跃升为主流服务，一文看懂其演进与工程价值。
Article URL: https://techstrong.ai/articles/llm-routers-have-become-a-service-category-of-their-own/ Comments URL: https://news.ycombinator.com/item?i…
最新arXiv研究揭秘：LLM不止能写SQL，调试企业级ETL代码才是真考验
arXiv:2601.18119v2 Announce Type: replace Abstract: SQL is central to enterprise data engineering, yet generating fully correct SQL code in a single a…
AI智能体从实验室走向真实场景，揭秘研究到部署的关键挑战与实践经验。
arXiv:2607.19336v1 Announce Type: new Abstract: Agentic systems large language model (LLM) based architectures capable of reasoning, planning, acting,…
GitHub工程师揭秘AI编程中“说yes”代价已变，深度影响开发者效率与代码治理。
The cost of writing code dropped; the cost of owning it didn't. A framework for deciding which changes are actually cheap in the AI era. The post The …
DoorDash用LLM陪审团与上下文优化，多模态AI精准构建食品元数据，工程实践亮点。
Article URL: https://careersatdoordash.com/blog/building-food-metadata-with-llm-juries-context-optimization-multimodal-ai/ Comments URL: https://news.…
用版本号锁定邮件动作，让LLM agent不再自由发挥，提升可预测性与可靠性。
Muchos equipos que integran LLMs con correo se obsesionan con el prompt y dejan medio borroso el contrato de ejecución. En mi experiencia, el fallo re…
AI写代码前先看“收据”，五步打造自进化运维系统，实战干货满满
Article URL: https://www.pagerduty.com/eng/before-ai-ships-code-show-me-the-receipts/ Comments URL: https://news.ycombinator.com/item?id=48842378 Poin…
AI生成代码占比飙升，文档和PR审查如何跟上节奏？HN热帖探讨团队应对策略。
I've seen numbers like 75% of code at Google is AI generated, huge %s of code overall is AI generated, open source projects overwhelmed with "slop" PR…
一个小巧的Node.js包装器，优雅处理LLM API的重试、超时和日志，告别重复代码。
Most LLM API integrations start with a direct SDK call. That is fine for a demo. But once the call is inside a real product, I usually want three thin…
AI agent访问生产数据的权限难题，牙科场景的真实需求，HN社区有实战经验分享。
We are building an ai agent for a dental firm. So while building we face this issue of what the agents should actually see. If anyone built similar sy…
AI写代码再快，验收标准仍是业务决策，主动权必须握在开发者手里。
A lot of writing about AI-assisted development focuses on speed. How fast you can generate code. How many lines per hour. How quickly you can go from …
探讨AI agent在持续部署中的信任控制局限，提出渐进授权思路，打破“全有或全无”困境。
AI coding agents are showing up in infrastructure workflows. They can diagnose a failed terraform apply , summarise what changed across a dozen module…
用Python打造可预测、无幻觉的LLM应用工程实践，揭秘Anthropic Claude生产级部署要点
Introduction Calling an LLM API is easy. Building an application on top of one that is reliable — that fails predictably, doesn't hallucinate its way …
AI生成代码越来越多，重复问题频发？DupeHound用确定性方法给AI代码上锁，保障代码库整洁高效！
Article URL: https://www.technology.org/2026/07/03/dupehound-deterministic-guardrails-against-ai-code-duplication/ Comments URL: https://news.ycombina…