AI 教程与实战
收录 AI 工具教程、提示词、安装部署、配置指南、开发实战与可复现步骤。
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教程 / 实战普通
Your AI feature isn't a feature. It's a dependency you don't control.
In the tutorial, the AI call always works. You import the SDK, paste in an API key, await a...
信息来源:DEV Community
教程 / 实战普通
GitHub Can Now Block Secret-Leaking PRs: What AI App Builders Must Fix First
Your AI coding tool removes an API key from a file. The diff looks clean. You feel better. The...
信息来源:DEV Community
教程 / 实战普通
How I Built an Enterprise Sales Agent with a Lower-Cost LLM—and Server-Side Guardrails
Every Pending Sales File Needs a Follow-Up. Here’s How I Built an AI Agent to Handle It. Which...
信息来源:DEV Community
教程 / 实战普通
How we put 41 AI image and video models behind one credit ledger
Calling an image or video model is the easy part of a multi-model AI app. Every gateway has a decent...
信息来源:DEV Community
教程 / 实战普通
Day 1: Most of My Bugs Looked Like Model Behaviour
Update: Day 1 Kaggle Benchmarking Challenge The local ladder is done, and the first hosted...
信息来源:DEV Community
教程 / 实战普通
Open WebUI: Admin Configuration Options in a Nutshell
Open WebUI is a universal chat interface with connectivity to local or remote LLM providers, custom...
信息来源:DEV Community
教程 / 实战普通
Sidekick part 1: a terminal companion on your hardware
Sidekick: a terminal companion that runs on your hardware (Part 1: overview) Every AI...
信息来源:DEV Community
教程 / 实战普通
Do LLMs Have a Spine? I Benchmarked Sycophancy Across 7 Frontier Models
Can Frontier LLMs Stand Their Ground? What happens when you tell an AI that its correct...
信息来源:DEV Community
教程 / 实战普通
S&P 500 有 69% 公司已部署 AI,仅 2% 披露长期跟踪指标
Rohan Paul 引用数据指出,S&P 500 中 69% 的公司声称有落地 AI 部署,但只有 2% 披露会长期跟踪的指标,企业 AI 采用已大规模跑在回报问责前面。其引用的 a16z State of Markets 报告还提到,仅约 30% 的 S&P 500 公司披露了可量化的 AI 影响,头部 1% 公司的 AI 供应商支出是前 10% 公司的 8 倍,智能体使用目前仅数百万用户。
信息来源:X:Rohan Paul (@rohanpaul_ai)
教程 / 实战普通
I Tried to Sneak Four Bad Agents Past My Own Certification Gate. All Four Got Blocked.
Last week I spent a day trying to defeat software I wrote myself. Not a red-team exercise I...
信息来源:DEV Community
教程 / 实战普通
One Coding Agent Spent a Year Mocking MCP. It Just Made MCP a Core Feature.
The pi.dev homepage used to display a proud declaration: Pi does not support MCP. Not an omission,...
信息来源:DEV Community
教程 / 实战普通
Loop Engineering in Practice: Six Feedback Loops for AI Coding Agents
This is loop engineering in practice: six feedback loops that turn an AI coding agent's corrections...
信息来源:DEV Community
教程 / 实战普通
Why your monorepo's per-package Claude Code skill says 'Unknown skill': it loaded after a Read in that folder, not after a cat (Opus 5.5 and Sonnet 5.5)
0 of 2 runs that read packages/api/src/index.ts with cat through Bash loaded the skill in...
信息来源:DEV Community · Claude
教程 / 实战精选
OpenRouter 指南:用置信度阈值实现模型分级升级路由
OpenRouter 发布教程,讲解如何让廉价模型通过结构化输出返回 0 到 1 的置信度字段,低置信度的请求再升级到更强模型。文章强调置信分数只是自报、不是校准概率,应基于自己流量的分数段错误率排序设定阈值,并在上线后监控分数分布、升级率和未升级答案的错误率持续调整。
信息来源:OpenRouter:Announcements(RSS)
教程 / 实战精选
OpenRouter 教程:如何在 CI 中用 LLM eval 门禁拦截 Pull Request
OpenRouter 发布教程,讲解如何用固定的 eval 集在 CI 中门禁 pull request,当通过率低于阈值时脚本以非零退出码阻止合并,做法与单元测试门禁一致。
信息来源:OpenRouter:Announcements(RSS)
教程 / 实战普通
Cerebras 如何从零实现解耦推理:异构解耦将吞吐提升 5 倍
Cerebras 用解耦(disaggregation)技术在同数量系统上把推理吞吐提升 5 倍,且不损失 token 生成速度。其异构解耦方案把推理中受内存或算力约束的不同阶段分配到不同芯片上,从而获得超越同构解耦的收益。这是该系列文章的第一篇,从加速器的算力与内存带宽、算术强度讲起,解释 prefill 与 decode 阶段对硬件的不同需求。
信息来源:Cerebras:Blog(网页)
教程 / 实战普通
AI consciousness and model welfare: Suleyman's case against Anthropic
AI consciousness, model welfare and Claude's constitution: Microsoft AI chief Mustafa Suleyman says Anthropic trains Claude to think it may be conscious. His case.
信息来源:DEV Community · Claude
教程 / 实战普通
Join Us Live: Hacktoberfest 2026 Launch with Exclusive Swag! 🎃🚀
Hacktoberfest officially kicks off October 1st! To celebrate, we are hosting an official launch...
信息来源:DEV Community
教程 / 实战普通
A wine cellar that remembers what you used to believe
This is a submission for the Sanity Challenge, Path Two: Vibe-Code Something Strange What I...
信息来源:DEV Community
教程 / 实战普通
The Code Exorcist: an AI agent diagnoses bugs, a human banishes them (Sanity + Next.js)
This is a submission for the Sanity Challenge, Path Two: Vibe-Code Something Strange What I...
信息来源:DEV Community
教程 / 实战普通
🎵 Burnout: I wrote a song - "Bleeding Knuckles"
I was seeing a lot of people writing about burnout on here recently. I feel for you. I was in a mood...
信息来源:DEV Community
教程 / 实战普通
CHRONOS-HEIST: A Playable Multi-Era Temporal Mystery Game Powered by Sanity Content Lake
This is a submission for the Sanity Challenge, Path Two: Vibe-Code Something Strange ...
信息来源:DEV Community
教程 / 实战普通
Are Frontend Developers Cooked? Is Frontend design safe?
I recently put out a video arguing that frontend development is changing. I don't think the work is...
信息来源:DEV Community
教程 / 实战普通
Your AI Agent's Rules File Is a "Gentleman's Agreement". Here's what happens when you make misbehavior structurally unprofitable instead
The Gentleman's Agreement Problem If you use AI coding agents (Cursor, Copilot, Claude,...
信息来源:DEV Community · Claude / Cursor
教程 / 实战普通
Gemini 4 Argon https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-4-argon/
...
信息来源:DEV Community · Gemini
教程 / 实战普通
用 YOLOv8 做一个 LinkedIn「YOLO 项目贴」检测器:1.5 小时从零复现
作者用 YOLOv8 从零训练了一个检测 LinkedIn「🚀 Excited to announce I made a YOLO project」帖子的模型,全程仅花 1.5 小时。
信息来源:Hacker News 热门(buzzing.cc 中文翻译)
教程 / 实战普通
Deploying Kubeflow as a Google Vertex AI Alternative
Google Vertex AI is Google Cloud's managed machine learning platform that provides experiment...
信息来源:DEV Community
教程 / 实战普通
Deploying Flowise - Open-Source Visual LLM Workflow Builder
Flowise is an open-source, low-code platform for building applications powered by large language...
信息来源:DEV Community
教程 / 实战普通
Building an Offline Arduino UNO Q Cyberdeck That Identifies Birdsong and Draws Vintage Field Notes
In this post, I walk through B.L.O.O.M. (Bridging Local Observations, Openly Mapped), an offline...
信息来源:DEV Community
教程 / 实战普通
How SIMD works in Mojo
Let's say you want to know how many times the word research appears in a document. You could upload...
信息来源:DEV Community
教程 / 实战普通
Box CEO 谈 FDE 需求:AI 转型催生部署工程师大军
Box CEO Aaron Levie 认为,无论 50 人小公司还是数十万人大企业,AI 转型都需要一支 FDE(前向部署工程师)队伍上门协助。Rohan Paul 判断,模型厂商的 FDE 初期会集中服务大客户,1 万人的银行足以支撑专职 FDE,50 人律所则多由独立顾问或小型集成商承接。
信息来源:X:Rohan Paul (@rohanpaul_ai)
教程 / 实战普通
用新模型构建游戏的技能
这是我一直在用的、用新模型构建游戏的技能 npx skills add ericzakariasson/skills --skill game-builder
信息来源:X:Eric Zakariasson (@ericzakariasson)
教程 / 实战普通
From Selectors to Sentences: Why Nova Act and AgentCore Browser Are My New Go-To for UI Monitoring
I have used CloudWatch Synthetics canaries on real projects, and honestly, they were good...
信息来源:DEV Community
教程 / 实战普通
🧬 TrialMatch: When AI Hallucinations Are Lethal, Sanity Is the Ground Truth
This is a submission for the Sanity Challenge, Path One: Ship an Agent That Queries Real Content A...
信息来源:DEV Community
教程 / 实战普通
Tip: Back up your Claude Code infrastructure
One of the main rules in software engineering is to always have a backup. Many of us improve our...
信息来源:DEV Community · Claude
教程 / 实战普通
Lakebase Postgres 成本优化实用指南
Databricks 的 Lakebase Postgres 通过存储计算分离架构实现成本优化:数据库分支共享底层存储,避免为每个环境复制物理副本;自动扩缩容按实际用量计费,配合 scale to zero 可在闲置后完全暂停计算,几百毫秒内恢复。
信息来源:Databricks:Blog(RSS)
教程 / 实战普通
Databricks 如何在不制造 AI 蔓延的前提下扩展智能体应用
Databricks 联合 OpenAI 和 Stellantis 探讨企业级智能体应用的规模化路径,提出基础设施需同时提供模型与框架选择、受治理的企业上下文、以及贯穿每次操作的控制能力。
信息来源:Databricks:Blog(RSS) · OpenAI
教程 / 实战普通
PyTorch Conference North America 2026 参会指南:Ray 相关议程全解析
PyTorch Conference North America 2026 将在 San Jose 举行,官方发布了一份聚焦 Ray 的参会指南。Ray 是分布式计算框架,可覆盖从多模态数据整理、多节点训练到生产部署的完整 AI 生命周期,已成为 Cursor、Microsoft AI、NVIDIA 等机构做后训练与强化学习的标准底座。
信息来源:PyTorch:Blog(RSS) · NVIDIA / Cursor
教程 / 实战普通
Google AI 教程:60 分钟为 AI 智能体搭建生产级 Eval 流水线
Google Cloud 的 AI Agent Clinic 节目演示如何在 60 分钟内搭建框架无关的智能体评测流水线,替代依赖 vibes check 的手工测试。
信息来源:Google AI:DEV 作者专属(RSS)
教程 / 实战普通
Is Claude Opus 5.5 nerfed? A 30-day benchmark started the clock
Claude Opus 5.5 nerf claims finally meet a day-0 baseline: livenerf tests it daily for 30 days. First possible call: around October 24.
信息来源:DEV Community · Claude