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 Tried Needle2 for Local Tool Calling. I Ended Up With llama.cpp + Granite
I’ve been working on a small experiment around a semantic shell. The basic idea is that the user...
信息来源:DEV Community · Llama
教程 / 实战普通
Epistemological corrosion created by machine induced semantic replication entropy
The headline is a extract of a skeet from a gamedev/designer/dev person of Bluesky: Osaka Skilled...
信息来源:DEV Community
教程 / 实战普通
Preptember is here!! Plan a Fest for your local community.
September marks the official start of Preptember, a month dedicated to organizers planning local...
信息来源:DEV Community
教程 / 实战普通
How to Leverage AI in Web Development Frameworks in 2026
Learn exactly how to leverage AI in web development frameworks in 2026. Real stats, real tools, prices, and actionable workflow upgrades. No fluff—just results.
信息来源:DEV Community
教程 / 实战普通
Claude 演示用代码构建水彩引擎
Claude 官方频道发布视频,展示用 Claude 编写代码构建一个水彩引擎。正文无文字内容,细节以视频为准。
信息来源:Claude:YouTube(RSS) · Claude
教程 / 实战普通
How to Integrate AI Coding Tools in Agile (2026 Data & Tactics)
See how to integrate AI coding tools in Agile development: 2026 stats, tool costs, pitfalls, and actionable playbooks. AI team velocity, ceremonies, and quality metrics.
信息来源:DEV Community
教程 / 实战普通
I Built an Agent to Fix Bad Tests. I Found Eight Bugs in My Own Ruler.
Here is a Python function and a test for it. def withdraw(balance, amount): if amount <=...
信息来源:DEV Community
教程 / 实战普通
I Built an AI That Rewrites Its Own Prompts — Its Safety Gate Rejected Every Single Edit
AgentSelfEdit is an open-source sidecar that rewrites its own system prompt from execution feedback....
信息来源:DEV Community
教程 / 实战普通
The Agent Knew It Was Wrong. The System Let It Ship
In 660 of 800 autonomous research runs, the agent found a critical flaw and delivered the result anyway. Self-review is not a control unless it can block the effect.
信息来源:DEV Community
教程 / 实战普通
Render MCP Apps in your own host in 5 minutes
In January, MCP Apps (SEP-1865) became the first official extension to the Model Context Protocol,...
信息来源:DEV Community
教程 / 实战普通
On-Policy Distillation Works Better Without the Teacher
A new Purdue paper analyzed teacher supervision in on-policy distillation. The teacher scores are mostly noise, and a fixed negative penalty beats a full teacher model on AIME24.
信息来源:DEV Community
教程 / 实战普通
OpenAI 解析 Basis、Clay、Exa 如何把工作流变成 AI 原生运营能力
OpenAI 发布文章,介绍 Basis、Clay 和 Exa Labs 用 Agent 承接员工入职、账户管理和开发者集成的工作流。Basis 把入职从 2 小时缩短到 30 分钟,Clay 的子智能体每天夜间更新各账户上下文,为销售省下约 1 小时邮件分拣,Exa 用 Codex 监控集成机会并创建 PR、跑测试。文章还给出企业从试点到规模化的六步方法。
信息来源:OpenAI:官网动态(RSS · 排除企业/客户案例) · OpenAI
教程 / 实战普通
Designing a BYOK AI Architecture for a Commercial Framer Template
I Built an AI-Enabled Framer Template Without Owning the Buyer’s AI Most AI-enabled websites hide an...
信息来源:DEV Community
教程 / 实战普通
Google Antigravity 系列教程 Part 2:用 generate_image 工具自动化图像生成
这篇是 Google 团队 Elevating Antigravity Agent Skills 五部曲的第二部分,讲解如何在 agent skill 中使用 generate_image 工具,把结构化提示词合成与原生图像生成结合,让 agent 产出符合开发者规范的图像。
信息来源:Google AI:DEV 作者专属(RSS)
教程 / 实战普通
How to Design AI Evaluations You Can Actually Trust
As part of my work at Google, we are publishing a suite of Agent Skills for Google products and...
信息来源:DEV Community
教程 / 实战普通
Building a Zero-Download Digital Disposable Camera \
Collecting candid photos and videos from guests at weddings, parties, and offsites has always been a...
信息来源:DEV Community
教程 / 实战普通
OpenClaw 2.0 升级解读:半年用户梳理安装、任务续跑、记忆、权限等 6 个变化
OpenClaw 2.0 发布,半年用户小北梳理六个变化:安装引导更完整、任务进度持久并可移到配对设备或云端 Worker 续跑、新增历史对话搜索和外部记忆迁移(支持导入 Claude Code、Codex、Hermes 记忆)、按钮等交互组件、多 Agent 管理与权限收紧。
信息来源:X:小北 (@frxiaobei) · Claude
教程 / 实战普通
lingxi 分享如何用 grok bot 智能体团队开发 grok bot
Eric Zakariasson 转发并摘要 lingxi 的文章,介绍其用一组 grok bot 组成工程团队来开发 grok bot 的做法。
信息来源:X:Eric Zakariasson (@ericzakariasson) · Grok
教程 / 实战普通
Replit 直播深度演示如何构建个性化邮件助手
Replit 官方发布直播预告,主题为在 Replit 中构建一个个性化邮件助手,直播深度解析链接为 https://x.com/i/broadcasts/1oKMvNLkEjpGQ。
信息来源:X:Replit (@Replit)
教程 / 实战精选
Tessl 设计师总结如何把设计判断教给 AI 智能体
Tessl 设计师复盘在 agent 软件工厂 Kikimora 中把品牌与设计规则编入 AI 工作流的方法,指出设计系统只提供组件、教不会构图。
信息来源:Tessl:产品与工程博客
教程 / 实战普通
I Gave Claude Code a Brain. Then I Measured What It Costs to Ask for One.
At the end of part 2 I promised a clean competitor comparison: more than one memory system, the same...
信息来源:DEV Community · Claude
教程 / 实战普通
ByteByteGo 图解如何压缩大语言模型而不明显损失智能
ByteByteGo 发布长文,讲解如何在大语言模型不明显变笨的前提下缩小模型体积。文章以 70B 参数模型约 140 GB、消费级显卡仅 24-48 GB 显存的矛盾为切入点。
信息来源:ByteByteGo(RSS)
教程 / 实战普通
The Brave Wanderer: I made Claude play a Pokémon it never read a guide for
The Brave Wanderer: I made Claude play a Pokémon it never read a guide for Full timeline...
信息来源:DEV Community · Claude
教程 / 实战普通
I raced six models against each other on DigitalOcean Inference. The cheapest one won.
Every time I put a model behind an endpoint I make the same lazy decision. I pick whatever I used...
信息来源:DEV Community
教程 / 实战普通
可灵官方教程:如何用 Kling MCP 的 Elements 跨镜头保持角色一致性
可灵(Kling AI)发布官方教程,讲解如何使用 Kling MCP 中的 Elements 功能在不同镜头之间保持角色身份一致,从而创作更具连贯性的 AI 生成故事。
信息来源:X:可灵 Kling AI (@Kling_ai)
教程 / 实战普通
Databricks 讲解如何在数据栈中落地 Genie Ontology
Databricks 发布博客,讲解如何在数据栈中落地 Genie Ontology,为 AI 智能体构建超越语义模型的共享业务上下文。
信息来源:Databricks:Blog(RSS)
教程 / 实战普通
Kubernetes is HariKube's query language, control protocol, and application interface for managing data streams
Building production-grade microservices has meant wrestling with legacy anti-patterns, dealing with...
信息来源:DEV Community
教程 / 实战普通
Streamline Publishing with a Claude Code Skill
A Claude Code skill that turns one markdown file into dev.to, AWS Builder Center, Medium and LinkedIn versions, checks them before they ship, and posts the ones with an API — plus the debugging tools for when a destination mangles somethin…
信息来源:DEV Community · Claude
教程 / 实战普通
Elvis Saravia 谈 harness engineering 入门:先写最小智能体循环而不是用框架
Elvis Saravia 回应人们常问的 harness engineering 从何入手,建议起初跳过框架,构建尽可能小的 harness:一个 agent 循环、少量工具和自己从零写的 system prompt。他认为这比一个月读教程学到更多。
信息来源:X:Elvis Saravia (@omarsar0, DAIR.AI)
教程 / 实战普通
Agent Skill 開發:用 lets-social 自動將文章轉化為 IG、Threads、FB 社群貼文
本篇要解決的問題 以前流行手寫套件,分享到 GitHub 上讓人取用,現在似乎…流行的是 Skill 了。 因為來自 Google 的流量一直在下降,所以 Let's Write...
信息来源:DEV Community
教程 / 实战普通
Divide and Let the LLM Do the Rest: From Personal Experience to Architecture
Where This Started A few years ago, I started thinking about a simple question: How far...
信息来源:DEV Community
教程 / 实战普通
What happens to technical debt when AI makes code cheap?
Dear past Jenna, I know you're used to dealing with large, complex, legacy codebases riddled with...
信息来源:DEV Community
教程 / 实战普通
7 production checks I run after an AI website builder ships
Seven practical checks for editability, lead delivery, measurement, recovery, portability and independent handover after an AI-built site ships.
信息来源:DEV Community
教程 / 实战普通
DNS Detective: an Agent That Diagnoses Your Domain by Actually Probing It
Ask an LLM "why does mail to my domain bounce?" and you get a plausible list of everything that has...
信息来源:DEV Community
教程 / 实战普通
Three independent proposals won't find the error. Adding a refuter killed one of them.
Five agents: three perspectives, one refuter, one synthesizer. The refuter killed a proposal, found the assumption all three shared, and caught two errors in the data I handed them.
信息来源:DEV Community
教程 / 实战普通
"So, you have observability. Now what?"
By Tyler Edwards, co-founder and CEO at Overmind. If you run an agent in production, odds are you...
信息来源:DEV Community
教程 / 实战普通
On-Device AI for iOS & macOS
In this Swift tutorial, you'll learn how to run a large language model (LLM) directly on a user's...
信息来源:DEV Community
教程 / 实战普通
Everyone can ship to production now. Nobody is on call.
Picture an ordinary Tuesday. Someone in your finance org hands in their notice, works the two weeks,...
信息来源:DEV Community
教程 / 实战普通
Migrating Legacy LLM Infrastructure to an AI Gateway
A hands-on migration off direct provider calls onto an AI gateway — configs, screenshots, and measured cost results.
信息来源:DEV Community
教程 / 实战普通
Discovery Bank 如何用行为 AI、治理数据与实时决策实现大规模超个性化银行服务
Discovery Bank 通过行为 AI、治理化数据和实时决策,在满足规模、速度与安全要求的同时让每个客户交互都具备个性化体验。文章介绍了该银行实现大规模超个性化银行服务的具体方法。
信息来源:Databricks:Blog(RSS)