2. Open Vibe——借助人工智能发布您的SaaS产品,畅通无阻。 Open Vibe -- Ship your SaaS with AI. Without getting stuck. (dev.to)
4. 我不再抗拒 React 服务器组件了——这才是最终让我接受它的原因 I Stopped Fighting React Server Components — Here''s What Finally Made It (dev.to)
6. “见效快”背后的隐性代价:为何速效方案会损害长期速度 The Hidden Cost of "It Works": Why Quick Fixes Kill Long-Term Speed (dev.to)
7. 《提示工程师生存指南:AI无法取代的技能》 The Prompt Engineer''s Survival Guide: Skills That AI Can''t Replace (dev.to)
8. 我正准备重写我的聊天路由器。结果发现,问题出在提示信息里的两行代码上。 I Was About to Rewrite My Chat Router. The Bug Was Two Lines in a Prompt. (dev.to)
9. 您的 AWS 账单在误导您——它显示的是服务,而非功能 Your AWS bill is lying to you — it shows services, not features (dev.to)
11. 使用 Docker Model Runner 免费在本地运行 Claude Code Run Claude Code Locally for Free with Docker Model Runner (dev.to)
12. 我测试了PaioClaw——当我将其推向极限时发生了什么 I Tested PaioClaw — Here''s What Happened When I Pushed It to Its Limits (dev.to)
15. 我如何不再为后院的乱象感到绝望,并开启了一个AI副业项目 How I Stopped Despairing Over the Backyard Mess and Started an AI Side Project (dev.to)
16. 我在11.8万颗真实恒星中定位了Gemma 4——它能做什么 I Grounded Gemma 4 in 118,000 Real Stars — Here''s What It Can Do (dev.to)
18. 如何保障生产环境中AI代理的安全:MCP的正确之处(及其不足) How to Secure AI Agents in Production: What MCP Gets Right (and What It Doesn’t) (dev.to)
21. 我用GTX 1650测试了所有Gemma 4型号。以下是实际测试结果。 I Tested Every Gemma 4 Model on a GTX 1650. Here''s What Actually Happened. (dev.to)
24. 使用 Gemma 26B MoE、.NET 8、Python 和 React 构建人工智能驱动的 ERP 系统 Building an AI-Powered ERP System with Gemma 26B MoE, .NET 8, Python & React (dev.to)
26. 当你第一次看到人工智能代理进行购物时,你会产生一种难以言喻的感觉。 The first time you watch an AI agent buy something, you will feel something you cannot name. (dev.to)
27. 在生产环境中使用 InversifyJS 三年后,我已经受够了,于是我开发了一个更好的依赖注入容器 I was sick of InversifyJS after 3 years in production, so I built a better DI container (dev.to)
30. 作为一名MCA三年级学生,我是如何入选2026年谷歌夏季编程大赛(GSoC)的 How I Got Into Google Summer of Code (GSoC) 2026 as a Tier-3 MCA Student (dev.to)
33. 别再手动绘制骨架了。让您的 UI 像魔法一样自动生成骨架。 Stop hand-drawing skeletons. Let your UI trace itself magically. (dev.to)
34. @supports 谎言:当 CSS 说“是”,浏览器却说“哈哈,才怪” @supports Lies: When CSS Says ''Yes'' but Browsers Say ''LOL No'' (dev.to)
36. 如何找到规划器从未选中的 Postgres 索引(我在 51 个中发现了 20 个) How to Find the Postgres Indexes Your Planner Never Picks (I Found 20 of 51) (dev.to)
37. Python 的 GIL 究竟是如何工作的(以及何时会给你带来麻烦) How Python''s GIL actually works (and when it bites you) (dev.to)
38. 我开发了一个 Ruby gem,这样我就不用再眯着眼睛看哈希转储了 I built a Ruby gem so I don''t have to squint at hash dumps anymore (dev.to)
39. 每个开发者的 Git 日志都是一处犯罪现场——七步调查法 Every Developer''s Git Log is a Crime Scene - A 7-Stage Investigation (dev.to)
40. 永不停歇的本地模型:Gemma 4 与 MTP 作为马拉松引擎 The Local Model That Doesn''t Sleep: Gemma 4 MTP as a Marathon Engine (dev.to)
42. 使用 Terraform 和 Cloud Run 部署多代理系统 Deploying a Multi-Agent System with Terraform and Cloud Run (dev.to)
44. [GCP 实践][BwAI] 人工智能驱动的开发:使用 Gemini CLI 快速部署 LINE 机器人云备份工具 [GCP Practice][BwAI] AI-Powered Development: Quickly Deploy a LINE Bot Cloud Backup Tool with Gemini CLI (dev.to)
46. 为什么我不让 AI 处理我的滚动动画:Astro、React 和 TypeScript 架构 Why I Didn’t Let AI Handle My Scroll Animation: Astro, React, and TypeScript Architecture (dev.to)
47. 黑客马拉松如何教会新手开发者那些一年教程也无法传授的知识 How a Hackathon Will Teach a New Developer What a Year of Tutorials Can''t (dev.to)
53. 我用 TypeScript 编写了一个仅 200 行代码的 AI 路由器。我的月账单减少了 41%。 I built a 200 line AI router in TypeScript. My monthly bill dropped 41%. (dev.to)
55. 我用75美元的树莓派取代了500美元的显卡:Gemma 4如何让计算机视觉成本降低10倍 I Replaced My 500 GPU with a 75 Raspberry Pi: How Gemma 4 Makes Computer Vision 10x Cheaper (dev.to)
59. 祝贺 Google Cloud NEXT ''26 写作挑战赛的获奖者! Congrats to the Google Cloud NEXT ''26 Writing Challenge Winners! (dev.to)
61. Amazon Bedrock AgentCore Harness 负责运行您的代理。ShapeV2 则控制其被允许执行的操作 Amazon Bedrock AgentCore Harness runs your agent. ShapeV2 controls what it''s allowed to do (dev.to)
67. 加入“Gemma 4 挑战赛”:总奖金 3,000 美元,将有十位获奖者! Join the Gemma 4 Challenge: 3,000 prize pool for TEN winners! (dev.to)
70. 请停止这样使用 useEffect:5 种正在悄无声息地破坏你的 React 应用的模式 Stop Using useEffect Like This: 5 Patterns That Are Silently Breaking Your React App (dev.to)
71. 我们将全力支持您(AI Avatar v7:姿势捕捉及其他功能(VS Code 和 Chrome 扩展程序)) We''ll Support You with All Our Might (AI Avatar v7: Pose Capture and More (VS Code and Chrome Extension)) (dev.to)
75. 人工智能到底是什么?(我休息了一段时间,结果不得不重新学习一切) What Even Is AI? (I Took a Break & Had to Relearn Everything) (dev.to)
77. 基于 Gemini API 文件搜索工具的多模态 RAG:开发者指南 Multimodal RAG with the Gemini API File Search Tool: A Developer Guide (dev.to)
78. 面向人工智能编程时代的VR编程——同时监控5个AI代理 VR Coding for the AI Coding Era - Monitoring 5 AI Agents at Once (dev.to)
79. 使用 Angular 和 Signals 构建流式 Gemini 聊天应用——然后将其部署到 Cloud Run Build a Streaming Gemini Chat in Angular with Signals — Then Ship It on Cloud Run (dev.to)
80. 开发阿兹拉:别让她发现你:我的游戏开发历程中的启示 Working on Azirah: Don’t Let Her See You: Lessons from My Game Development Journey (dev.to)
82. 我分别在文档、PDF 和代码上测试了分块处理。结果每次都不一样。 I Tested Chunking on Docs, PDFs, and Code. The Winner Changed Every Time. (dev.to)
83. 2026年真实存在的6款代理网关平台(及其优势) 6 Agent Gateway Platforms That Actually Exist in 2026 (And What They''re Good For) (dev.to)
84. 大规模管理 150 多种 AI 代理技能——哪些出了问题,我又构建了什么 Managing 150 AI Agent Skills at Scale — What Broke, What I Built (dev.to)
85. 我们发布的代码比以往任何时候都多,但我们对其中内容的理解却越来越少。 We''re Shipping More Code Than Ever. We Understand Less of It. (dev.to)
86. 如何在 Cloud Run 上构建自定义 AI 质量检查(从零开始到投入生产) How to Build a Custom AI Quality Gate on Cloud Run (From Zero to Production) (dev.to)
87. [Google Cloud Next ''26 回顾 #3] Anthropic 对“后软件时代”的展望 [Google Cloud Next ''26 Recap #3] Anthropic''s Vision for "After Software" (dev.to)
88. 一位领英招聘人员向我发送了伪装成“面试前代码审查”的恶意软件 A LinkedIn Recruiter Sent Me Malware Disguised as a "Pre-Interview Code Review" (dev.to)
89. 将 pytest 风格的测试环境引入 Ruby,实现更智能的浏览器测试 Introducing pytest-style fixtures into Ruby for smarter browser testing (dev.to)
91. 我花了3天时间开发了一个移动应用。最难的部分是保持其网络连接。 I Built a Mobile App in 3 Days. The Hard Part Was Keeping It Connected. (dev.to)
92. AI 代理与代码漏洞:Anthropic Mythos 究竟是大事一桩,还是危言耸听? AI Agents vs Code Vulnerabilities: Was Anthropic Mythos a Big Deal or Fear-mongering? (dev.to)
96. 我开发了一款无需注册即可使用的免费发票生成器、简历生成器和求职信生成器 I Built a Free Invoice Generator, Resume Builder, and Cover Letter Generator That Don''t Require Signup (dev.to)
99. 我如何用 Python 构建了一个离线 AI 助手——不依赖 OpenAI、LangChain 及任何其他依赖项 How I Built an Offline AI Assistant in Python - No OpenAI, No LangChain, No Dependencies (dev.to)
100. AI 删除了我的测试,还说“所有测试均通过”——将“typia”从 TypeScript 移植到 Go 时的一段恐怖经历 AI Deleted My Tests and Said ''All Tests Pass'' — A Horror Story from Porting ''typia'' from TypeScript to Go (dev.to)
102. 我开发了一款能够检测多个搜索引擎中SEO中毒现象的工具 I Built a Tool That Detects SEO Poisoning Across Multiple Search Engines (dev.to)
105. 我那位法学硕士助手的最新流行语是,在回复开头总爱说“坦率地说”。听着真让人不舒服。 My LLM assistant''s new buzzword is starting responses with "be completely candid". Very grating. (dev.to)
106. 我用JAX重构了Karpathy的NanoChat。以下是XLA做对的地方,以及它彻底搞错的地方。 I Rebuilt Karpathy''s NanoChat in JAX. Here''s What XLA Gets Right and What It Gets Dead Wrong. (dev.to)
107. GitHub 搞砸了 Git:那个悄无声息删除了你代码的合并队列漏洞 GitHub Broke Git: The Merge Queue Bug That Silently Deleted Your Code (dev.to)
108. 我是如何构建 TypeScript 中最快的颜色处理库的,以及我学到的优化技巧 How I built the fastest color manipulation library in TypeScript and the optimization techniques I learned (dev.to)
111. 函数调用框架 2:CoT 合规率从 9.91% 提升至 100% Function Calling Harness 2: CoT Compliance from 9.91% to 100% (dev.to)
113. 《AI Harness:为何你的AI编程助手只能像你放置它的代码仓库那样聪明》 The AI Harness: why your AI coding agent is only as smart as the repo you put it in (dev.to)
117. 我做了一切人工智能时代要求我做的事,但生活费还是付不起。 I Did Everything the AI Era Asked. It Still Didn''t Pay My Bills. (dev.to)
119. 人们曾说人工智能会淘汰SaaS的模板化内容。但事实恰恰相反。 They said AI Would Kill SaaS Boilerplates. It''s Doing the Opposite. (dev.to)
121. AI代码审查的5个层次——从“兄弟,相信我”到“生产就绪” 5 Levels of AI Code Review — From ''Trust Me Bro'' to Production Ready (dev.to)
123. 如今,代理程序正在构建自己的用户界面。以下是值得这样做的场景。 Agents are building their own UIs now. Here''s when that''s worth doing. (dev.to)
124. “DEV Weekend挑战赛:地球日特辑”获奖名单揭晓 Announcing the Winners of the DEV Weekend Challenge: Earth Day Edition (dev.to)
125. Google Cloud TPU 上的 vLLM:模型规模与芯片性能速查表(附交互式工具) vLLM on Google Cloud TPU: A Model Size vs Chip Cheat Sheet (With Interactive Tool) (dev.to)
126. 大家都在谈论Gemini。但Google Cloud NEXT ''26大会上的真正焦点其实是GKE Agent Sandbox。 Everyone''s Talking About Gemini. The Real Story at Google Cloud NEXT ''26 Was GKE Agent Sandbox. (dev.to)
127. 我妻子说服我,终于把我们用了好几年的这款应用发布出来了 My wife convinced me to finally ship the app we’ve been using for years (dev.to)
128. OpenAI 会告诉你花了多少钱,但不会告诉你花在了哪里。所以我开发了一个仪表盘。 OpenAI Tells You What You Spent. Not Where. So I Built a Dashboard. (dev.to)
134. 睡眠、排序、重复:使用虚拟时间测试 Kotlin 协程 Sleep, Sort, Repeat: Testing Kotlin Coroutines with Virtual Time (dev.to)
137. 利用 Cloud Run 作业对 Gemma 4 进行微调:使用无服务器 GPU(NVIDIA RTX 6000 Pro)进行宠物品种分类 Fine-Tuning Gemma 4 with Cloud Run Jobs: Serverless GPUs (NVIDIA RTX 6000 Pro) for pet breed classification (dev.to)
139. 我是如何将一个视觉构想转化为可复用的 OpenClaw 技能的 How I turned a visual idea into a reusable OpenClaw skill (dev.to)
140. 作为 GDE,我在 Google Cloud Next 26 上的非凡体验 My Incredible Google Cloud Next 26 Experience as a GDE (dev.to)
142. 我如何利用 Gemini CLI 协调一次复杂的 RAG 迁移 How I used Gemini CLI to orchestrate a complex RAG migration (dev.to)
146. 亲手打造一件令你引以为豪的作品,那种感觉究竟是怎样的 What It Actually Feels Like to Build Something You''re Proud Of (dev.to)
148. 在 Windows 上使用 Windows Sandbox 实现安全隔离,本地运行 OpenClaw Run OpenClaw Locally on Windows Using Windows Sandbox for Secure Isolation (dev.to)
152. 从分心到专注:真正带来改变的 Mac 应用 From Distracted to Focused: Mac Apps That Actually Made a Difference (dev.to)
155. 正式推出:Google AI 和 Google Cloud Run 徽章 Officially Introducing: The Google AI and Google Cloud Run Badges (dev.to)
157. 真正的代币经济并非在于减少开支,而在于放小思维。 The Real Token Economy Is Not About Spending Less. It Is About Thinking Smaller. (dev.to)
159. 每个 README 文件都应包含的 15 个必备部分:让您的项目获得应有的关注 15 Essential Sections Every README Needs: Give Your Project What It Deserves (dev.to)
161. 一种针对Snake AI的CNN网格编码方法,其成绩是已发表最佳成绩的两倍! A CNN Grid Encoding for Snake AI That DOUBLES! the Best Published Score (dev.to)
166. 工作中,我像个专业人士一样做好记录。但我的业余项目却一团糟。 I Document Like a Professional at Work. My Side Projects Are a Disaster. (dev.to)
167. 介绍 Excaliclaw:一款用于生成 Excalidraw 图表的 OpenClaw 技能 Introducing Excaliclaw: A Skill for OpenClaw to Generate Excalidraw Diagrams (dev.to)
168. Google Cloud NEXT ''26:全栈开发者眼中的 Cloud Run 与 AI Google Cloud NEXT ''26: A FULL STACK Developer’s Take on Cloud Run & AI (dev.to)
169. 我开发了一个本地 AI VRAM 计算器与 GPU 规划工具(测试版) I Built a Local AI VRAM Calculator & GPU Planner (Beta) (dev.to)
171. 我反其道而行——当大家都把单体架构拆分时,我却构建了一个 I went against the trend - everyone split their monolith, I built one (dev.to)
173. 《Flutter 无障碍设计实用指南》第二部分:隐藏干扰元素,突出操作按钮 A Practical Guide to Flutter Accessibility Part 2: Hiding Noise, Exposing Actions (dev.to)
175. 我正在将Gemini作为自主编程代理运行。以下是它目前无法实现的功能,以及哪些NEXT ''26的公告能解决这些问题。 I''m Running Gemini as an Autonomous Coding Agent. Here''s What It Can''t Do and Which NEXT ''26 Announcements Would Fix It. (dev.to)
176. 作为开发者,你不必担心“错失恐惧症”:你并没有落后,你只是个普通人 FOMO as a Developer: You''re Not Behind, You''re Just Human (dev.to)
181. 超越 CLAUDE.md:你的 AI 代理工具包中缺失的 5 个层级 Beyond CLAUDE.md: 5 Layers Your AI Agent Harness Is Missing (dev.to)
182. 我的那位连“cd”命令都不懂的同事是如何将代码部署到生产环境的 How My Coworker Who Didn''t Know ''cd'' Shipped to Production (dev.to)
185. 我曾因遭遇冒充诈骗而损失了几千元。于是,我开发了这款我一直希望能有的工具。 I lost a few thousand to an impersonation scam. So I built the tool I wished existed. (dev.to)
190. AI让开发者感觉开发速度提高了20%,但实际测量结果却慢了19%。没人准备好面对这种局面。 AI made devs feel 20% faster but measured 19% slower. Nobody''s ready for that conversation. (dev.to)
192. 我为一款可持续发展应用构建了自己的事件总线——以下是我在使用 OpenClaw 进行代理自动化过程中所学到的经验 I built my own event bus for a sustainability app — here''s what I learned about agent automation using OpenClaw (dev.to)
193. 立即关注并参与 Google Cloud NEXT ''26 写作挑战赛:总价值 1,000 美元的奖品等你来拿! Tune In and Join the Google Cloud NEXT ''26 Writing Challenge: 1,000 in Prizes! (dev.to)
195. 如果您的项目受到 Vercel 数据泄露事件的影响,该怎么办 What To Do If Your Project Was Affected By The Vercel Breach (dev.to)
197. Anthropic最危险的模型刚刚被不应接触它的人获取了 Anthropic''s Most Dangerous Model Just Got Accessed by People Who Weren''t Supposed to Have It (dev.to)
199. 如果2011年就有了人工智能,我们还会拥有现代互联网吗? If AI Existed in 2011, Would We Still Have the Modern Web? (dev.to)
203. 使用 Twilio 为 Gemini Live Agent 添加语音通话功能 Add Telephony to a Gemini Live Agent with Twilio (dev.to)
204. 让超级英雄为你打气(AI Avatar v6:Chrome 扩展程序 VS Code 扩展程序) Let Superheroes Cheer You Up (AI Avatar v6: Chrome Extension VS Code Extension) (dev.to)
205. 开发了一款月经常性收入(MRR)达5000美元的AI应用,但仍需一名开发人员 Built a 5k usd MRR app with AI but still needed a developer (dev.to)
206. 我花了一千五百美元买了一把人体工学椅,结果却只能像个活体麻花一样坐在上面 I Spent 1,500 on an ergonomic chair just to sit in it like a human pretzel (dev.to)
210. 我正在重写我以前的发票应用,这次我真的知道自己在做什么了 I''m Rebuilding My Old Invoice App and This Time I Actually Know What I''m Doing (dev.to)
211. AI 代理生成的代码能通过你的测试。这正是问题所在。 AI Agents Generate Code That Passes Your Tests. That Is the Problem. (dev.to)
216. 我利用真实的气候数据制作了“地球年”动态图。2025年真是艰难的一年。 I built Earth''s Year Wrapped with real climate data. 2025 was rough. (dev.to)
220. 所有的气候聊天机器人都患有“健忘症”。因此,我开发了 Aura——一个基于 Backboard 和 Gemini 的具有状态记忆功能的气候教练。 Every climate chatbot is amnesiac. So I built Aura — a stateful climate coach on Backboard Gemini (dev.to)
221. 我差点失去Commerza:在没有框架的情况下构建电商系统的残酷现实 I Almost Lost Commerza: The Brutal Reality of Building an Ecommerce System Without a Framework (dev.to)
223. PlanetLedger —— 将消费转化为环保意识 PlanetLedger — Turning Spending Into Environmental Awareness (dev.to)
224. GheiaGrid:重新构想去中心化城市农业与碳开采 GheiaGrid: Reimagining Decentralized Urban Farming & Carbon Mining (dev.to)
229. 《深时之镜:透过人工智能窥探我们的生态灵魂》——地球日特辑。 Deep-Time Mirror: An AI Lens into Our Ecological Soul For Earth Day Edition. (dev.to)
232. Defluffer - 只需一个简单技巧,即可将代币使用量减少45%![地球日挑战] Defluffer - reduce token usage by 45% using this one simple trick! [Earthday challenge] (dev.to)
233. 零影响开发:为何编写更少的代码才是最佳的地球日项目 The Zero-Impact Build: Why Writing Less Code is the Best Earth Day Project (dev.to)
242. 快来参加我们的“开发者周末挑战赛”——总价值1,000美元的奖品将颁发给十位优胜者!作品提交截止时间为4月20日UTC时间上午6:59。 Join our DEV Weekend Challenge — 1,000 in Prizes Across TEN winners! Submissions Due April 20 at 6:59 AM UTC. (dev.to)
243. 使用 Gemini Interactions API 构建一个支持语音功能的 Telegram 机器人 Build a voice-enabled Telegram Bot with the Gemini Interactions API (dev.to)
251. 利用 Google Cloud Run MCP 服务器构建多代理 A2A 部署 Building with the Google Cloud Run MCP Server for Multi-Agent A2A Deployment (dev.to)
253. 使用 Cloud Run Jobs 和 AlloyDB 构建可扩展的 RAG 后端 Building a Scalable RAG Backend with Cloud Run Jobs and AlloyDB (dev.to)
254. 我如何利用 AST 和 Gemini 解决“代码库入门”问题 How I''m using ASTs and Gemini to solve the "Codebase Onboarding" problem (dev.to)
256. 我如何利用CrewAI和Ollama构建了一个自动数据集生成器(运行72小时,生成1,065条数据) How I Built an Autonomous Dataset Generator with CrewAI Ollama (72-hour run, 1,065 entries) (dev.to)
258. 大多数应用的运行速度都比实际需要的要慢——原因如下(现场演示) Most Apps Are Slower Than They Need to Be — Here’s Why (Live Demo) (dev.to)
262. 为何要搭建本地 MCP 服务器(以及如何在 15 分钟内完成) Why Build a Local MCP Server (And How to Do It in 15 Minutes) (dev.to)
263. 《亚马逊Bedrock入门指南:从首个提示词到AI代理(完整教程)》 Amazon Bedrock for Beginners From First Prompt to AI Agent (Full Tutorial) (dev.to)
264. 你在 AI 代理中过度设计的那些功能(大语言模型已经能处理它们了) Things You''re Overengineering in Your AI Agent (The LLM Already Handles Them) (dev.to)
265. 你的工作不会消失。但有人正在筹款,而这笔钱能否筹到,就取决于你是否认为你的工作会消失。 Your Job Isn''t Going Away. But Someone''s Fundraise Depends on You Thinking It Is. (dev.to)
266. 从软件工程师到开发者倡导者:我多年来在不知不觉中完成的悄然转型 From Software Engineer to Developer Advocate: The Silent Transition I''ve Been Making for Years Without Knowing It (dev.to)
268. 利用本地大型语言模型构建以隐私为先的语音控制人工智能代理 - Building a Privacy-First Voice-Controlled AI Agent with Local LLMs - (dev.to)
270. 薛定谔的备份:如果没测试过恢复,那就不算有备份 Schrödinger''s Backup: If You Haven''t Tested a Restore, You Don''t Have a Backup (dev.to)
271. 将使用 Google Apps Script 构建的远程子代理与 Gemini CLI 集成 Integrating Remote Subagents Built by Google Apps Script with Gemini CLI (dev.to)
273. 使用 claude-mem 为 Claude 代码添加持久内存——外加一个自制的轻量级替代方案 Adding Persistent Memory to Claude Code with claude-mem — Plus a DIY Lightweight Alternative (dev.to)
277. 我正在开发“SafeMap”——一款以安全为首要考量、风格类似Tinder的旅行应用(急需犀利反馈) I’m Building “SafeMap” – A Tinder-Style Travel App That Prioritizes Safety (Brutal Feedback Needed) (dev.to)
278. 我原以为最难的是编写代码。结果发现,生产环境才是安全假设的坟墓。 I Thought the Hard Part Was the Code. Turns Out Production Is Where Security Assumptions Go to Die. (dev.to)
279. 使用代理开发工具包 (ADK)、Amazon EKS 和 Gemini CLI 实现多代理 A2A Multi-Agent A2A with the Agent Development Kit(ADK), Amazon EKS, and Gemini CLI (dev.to)
280. 双子座思维:那些“聪明”的模型如何出乎意料地让我超支 Gemini Thinking: How "Brainy" Models Unexpectedly Blew My Budget (dev.to)
281. DotShare v3.0 —— 我将 VS Code 扩展程序打造成了一套完整的发布套件(内置 Dev.to 和 Medium) DotShare v3.0 — I Turned My VS Code Extension Into a Full Publishing Suite (Dev.to Medium Inside) (dev.to)
282. 我制作了一款会让你产生精神错乱的平台游戏——金币会偷走你的生命,尖刺能治愈你,而出口大门会杀死你 I Built a Platformer That Gaslights You — Coins Steal, Spikes Heal, and The Exit Door Kills You (dev.to)
284. 构建一个能从人类编辑中学习(而不仅仅是反馈)的AI聊天机器人 Building an AI Chatbot That Learns From Human Edits (Not Just Feedback) (dev.to)
285. 《开发者本地运行大型语言模型指南:Ollama、Gemma 4,以及为何你的个人项目不需要 API 密钥》 The Developer''s Guide to Running LLMs Locally: Ollama, Gemma 4, and Why Your Side Projects Don''t Need an API Key (dev.to)
286. 使用 Gemini Live 和 Reachy Mini 制作会说话的机器人 Build a Talking Robot with Gemini Live and Reachy Mini (dev.to)
288. 构建足球数据分析管道:模式、权衡及生产环境中的应用 Building a Football Analytics Pipeline: Patterns, Tradeoffs, and What Production Would Look Like (dev.to)
291. 我又进行了500次代理内存实验。真正的问题并不是回忆,而是绑定。 I Ran 500 More Agent Memory Experiments. The Real Problem Wasn’t Recall. It Was Binding. (dev.to)
292. “规格优先的代理式开发:一种结构化、可追溯的AI辅助开发方法论” Specification-First Agentic Development: A Methodology for Structured, Traceable AI-Assisted Development (dev.to)
294. 标题:《过度思考机器——我开发了一款能将“喝茶还是喝咖啡?”变成一场存在主义危机的AI》 发布日期:false Title: The Overthinking Machine — I Built an AI That Turns "Tea or Coffee?" Into an Existential Crisis published: false (dev.to)
295. 用35行Python代码构建桌面文件管理器——周末项目 Build a Desktop File Organizer in 35 Lines of Python — Weekend Project (dev.to)
296. 我厌倦了使用10种不同的开发工具,于是自己开发了一个 I got tired of using 10 different dev tools, so I built my own (dev.to)
297. 如何通过编程方式安装 Firefox 扩展(以及为何会出现故障) How to Programmatically Install Firefox Extensions (And Why It Breaks) (dev.to)
299. 上周我审查了 3 个使用“vibe-coded”的 PR。每个 PR 都硬编码了 API 密钥。于是,我开发了一个代码检查工具。 I code-reviewed 3 "vibe-coded" PRs last week. Every one had hardcoded API keys. So I built a grader. (dev.to)
300. 追踪、传播攻击以及我们在真实电子邮件流量中发现的情况 Tracking, Propagation Attacks, and What We Found in Real Email Traffic (dev.to)