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
I taught my release checklist to wait for me
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady. ...
信息来源:DEV Community
教程 / 实战普通
Why an 80-Year-Old Math Book Fixed My AI Coding Agent
Here is a scenario almost every developer reading this has lived through over the past year. It is...
信息来源:DEV Community
教程 / 实战普通
When an AI agent retries a paid API call: how we stop it from paying twice
An AI agent calls a paid API, the payment goes through, and the response never arrives. The...
信息来源:DEV Community
教程 / 实战普通
My clients explain automations in rambling WhatsApp voice notes. Now my laptop answers with an n8n workflow
Whisper and Gemma 4 on my laptop turn a client's messy voice note into an importable n8n workflow and the questions they forgot to answer. The model never writes the JSON.
信息来源:DEV Community
教程 / 实战普通
PHP2Shell: How AI-Assisted Research Is Changing Cybersecurity
What every developer should know about AI-assisted vulnerability discovery, secure coding, and...
信息来源:DEV Community
教程 / 实战普通
The Hard Authorization Boundary: Preventing Unauthorized Actions in Agentic AI
As large language models become capable of operating across enterprise systems, the security...
信息来源:DEV Community
教程 / 实战普通
graphloom: give your coding agent a map of the repo instead of letting it grep 40 files
An open-source Python CLI and MCP server that turns a repository (code, SQL, docs, config) into a queryable knowledge graph with file:line evidence on every edge. The graph is built offline; only questions go to a cheap model through AtmoR…
信息来源:DEV Community
教程 / 实战普通
I Taught Gemma 4 to Read University Syllabi So Professors Don't Have To
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady ...
信息来源:DEV Community
教程 / 实战普通
13 个 Personal Agent 入门排名:meta muse、grok bot、ChatGPT dots 等怎么选
作者基于此前提出的五个标准,对 13 个 Personal Agent 做了一份两轮综合排名。
信息来源:X:卡尔的 AI 沃茨 (@aiwarts) · ChatGPT / Grok
教程 / 实战普通
Figma 官方讲解如何让 Figma agent 用好你的设计系统
Figma 官方介绍已全面开放的 Figma agent 如何借助设计系统产出符合团队规范的设计。方法包括连接已发布的组件库、上传 guidelines 固化团队规则、用 Examples 页面或 _example 命名提供实际范例、把重复流程做成 skills(如 /design-system-audit 和 /analyze-components)。
信息来源:Figma AI / Agent / Make
教程 / 实战普通
[Boost]
Now Open Source: TorchTPU and the TPU Agent Suite for Native PyTorch on Google Cloud TPUs ...
信息来源:DEV Community
教程 / 实战普通
OpenAI 讲解 FDE 如何把客户定制 Harness 收成统一 Codex
OpenAI 发文解释其 FDE(Forward Deployed Engineering)团队如何填补部署差距,即模型能力与客户真实约束下可稳定使用之间的空档。
信息来源:X:邵猛 (@shao__meng) · OpenAI
教程 / 实战普通
13 款 Personal Agent 横评:按 App 数量、额度和生态限制怎么选
卡尔的AI沃茨对 meta muse、grok bot、ChatGPT dots、gemini spark、Hark、OpenClaw、千问Go、灵光2.0 等 13 款 Personal Agent 做入门横评。
信息来源:公众号:卡尔的AI沃茨 · ChatGPT / Qwen / Gemini
教程 / 实战普通
926 Steps, Two Lobotomies, and Zero Nudges: Flight-Testing the Commitment Machine Across Gemini, Claude, and GPT-OSS
A 2026 Harvard study of 718 companies found that AI agents write 30% more code and close zero additional tickets because review times jump 49%. Here is what happened when I put my 1986 Commitment Machine into live production across Gemini,…
信息来源:DEV Community · GPT / Claude / Gemini
教程 / 实战普通
Building Disaggregated Inference with NVIDIA Dynamo
NVIDIA Dynamo is an open-source inference framework for deploying large-scale generative AI models...
信息来源:DEV Community · NVIDIA
教程 / 实战普通
Building a Llama.cpp Container Image
Llama.cpp is a high-performance inference platform designed for Large Language Models (LLMs) like...
信息来源:DEV Community · Llama
教程 / 实战普通
Google Gemini Connects Maps and Calendar for More Contextual Day Planning
Google has expanded Gemini's connection to Google Maps and Google Calendar, giving its AI assistant a...
信息来源:DEV Community · Gemini
教程 / 实战普通
ChatGPT Referrals Convert Well, but Google Organic Still Drives Far More Results
Google Organic remains the much larger source of website traffic and conversions than ChatGPT and...
信息来源:DEV Community · ChatGPT
教程 / 实战普通
Independent OpenAI Agent Investigation Highlights Monitoring Lessons for Businesses
An independent investigation by METR and a contractor from Redwood Research examined the OpenAI agent...
信息来源:DEV Community · OpenAI
教程 / 实战普通
AI Brand Mentions and Citations Are Diverging: What Semrush’s Index Means for Visibility
A brand can appear in an AI-generated answer without being one of the sources the system cites. That...
信息来源:DEV Community
教程 / 实战普通
Bing Topics Portfolio Beta Shows Where AI Search Citations Are Being Missed
Microsoft Bing has introduced Topics Portfolio, a beta feature in Bing Webmaster Tools that helps...
信息来源:DEV Community
教程 / 实战普通
Google Gemini Turns Prompts Into Web Apps With Canvas and AI Studio Build Mode
Google Gemini now provides two first-party ways to turn a natural-language prompt into a working web...
信息来源:DEV Community · Gemini
教程 / 实战普通
Bill & Document Sloth: A Local-First AI Paperwork Manager with Gemma & TabPFN
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady ...
信息来源:DEV Community
教程 / 实战普通
GitHub 漏洞赏金如何磨炼一位研究者的安全技能
GitHub Bug Bounty 团队在网络安全意识月专访研究员 @r31n,其专注 GitHub Enterprise Server 并多次发现高影响问题。@r31n 表示偏好手工调查与小型专用脚本,认为 AI 对其工作方式的影响超过任何单一安全工具,但心态比工具更重要。持续产出可复现、带可用 PoC 报告的研究者可获邀进入永久 VIP 计划,享受更高奖金、更快响应和测试版产品预览。
信息来源:GitHub Blog
教程 / 实战普通
AI 智能体工作流中的幻觉检测方法指南
针对 AI 智能体工作流,可按幻觉类型分层部署检测:忠实度与接地性检查用 DeepEval 等工具把回答拆成单条主张与检索文档比对打分,自一致性检查多次提问同一问题比较答案是否收敛,语义熵则按语义聚类估计模型的不确定性。来源核验可对照数据库、API 和文档等权威来源,置信度阈值配合 human in the loop 把高风险输出转人工复核。
信息来源:n8n Blog
教程 / 实战普通
I Didn’t Want AI to Build My App. I Wanted to Learn How to Build It Myself.
I was in Class 7 when I first properly touched a computer. My first lesson was simple: how to turn it...
信息来源:DEV Community
教程 / 实战普通
AI Models Wouldn’t Pretend to See My Aura, but They Did Tell Me What I Wanted to Hear
Read this part first. I built a six-task benchmark that asks AI models to read auras, which they...
信息来源:DEV Community
教程 / 实战普通
PHP2Shell Explained: How AI Found a PHP Bug Hiding Since 2012, and How It Was Fixed
On 21 October 2026 PHP shipped an emergency release for two bugs in the language itself:...
信息来源:DEV Community
教程 / 实战普通
Why AI’s Perception of Your Brand Matters as Much as SEO
A potential customer already knows your name. Someone they trust recommended your business. They...
信息来源:DEV Community
教程 / 实战普通
开发者实测指南:用公开判定数据重建 Datalab OmniParseBench 排行榜并复测 Tesseract 与 Indra OCR
这篇教程实测 Datalab 的 OmniParseBench 文档解析基准,该基准用 16,288 个通过或失败测试对 2,937 页文档给 27 个解析器打分。
信息来源:MarkTechPost(RSS)
教程 / 实战普通
Scaling stateful Gemini 4 Argon agent sessions on GKE: Connection draining, startup boost, and session persistence
Architect GKE for long-running Gemini 4 Argon agent sessions using VPA CPU startup boost, GCPBackendPolicy connection draining, and session checkpointing.
信息来源:DEV Community · Gemini
教程 / 实战普通
Tessl:智能体写代码后,部署管线的钥匙不该交给人也不该交给 Agent
Tessl 博客提出,下游人工代码评审从来不是有效控制,在智能体工程中会成为瓶颈,引用数据显示 PR 数量增长约 23%、合并时间上升约 49%、中位评审时间上升 441%。
信息来源:Tessl:产品与工程博客
教程 / 实战普通
Sakana AI 如何在 Modal 上部署约 1 万亿参数 MoE 模型 Sakana Namazu
Modal 工程团队与 Sakana AI 合作,将约 1 万亿参数的 MoE 模型 Sakana Namazu 部署到 Modal 上,通过定制 NVFP4 量化与自训练 DFlash 草稿模型支撑其公开 API 上线。
信息来源:Modal 官方工程博客(RSS)
教程 / 实战普通
How to Customise DeepResearch for Teams with Brand Kits & Collections
Day 22 of 30 Days of Search TL;DR To personalise and customize Valyu DeepResearch for a...
信息来源:DEV Community
教程 / 实战普通
Enterprise AI Governance in 2026
An enterprise AI governance stack is not a gateway feature. It is a sequence of decisions that has to...
信息来源:DEV Community
教程 / 实战普通
Congrats to the Sanity Challenge Winners!
We are thrilled to announce the winners of the Sanity Challenge, our partnership with Sanity built...
信息来源:DEV Community
教程 / 实战普通
"Build in Public" Is Everywhere. Does It Actually Get You Customers? 🤔
What founders report, what that evidence can't prove, and a four-week experiment you can run on your...
信息来源:DEV Community
教程 / 实战普通
The bugs that look like success: quality checks for AI-generated learning content
How I test AI-generated example sentences in a vocabulary app: invented words, a refusal that shipped as a card, a checklist that measured the wrong thing, and what the checks still miss.
信息来源:DEV Community
教程 / 实战普通
Claude Code 作者 Boris Cherny 在斯坦福课上的五条实战原则
Claude Code 作者 Boris Cherny 在斯坦福课程 CS146S 分享五条原则,核心是把研发瓶颈系统化地自动化,并为六个月后更强的模型提前设计。
信息来源:X:邵猛 (@shao__meng) · Claude
教程 / 实战普通
I built a desktop AI novel-writing system because ChatGPT forgets my protagonist by chapter five
If you have ever tried to write a long story with a general-purpose AI, you know the pattern. By...
信息来源:DEV Community · ChatGPT