4. 精通最新 TypeScript:6.0 版本的新功能(并一窥 7.0 版本) Mastering the Latest TypeScript: What''s New in 6.0 (and a Peek at 7) (dev.to)
5. 我厌倦了等待部署,于是搭建了一个本地 Lambda 运行器 I got tired of waiting for deploys, so I built a local Lambda runner (dev.to)
7. RepoRecon:我厌倦了阅读糟糕的代码,于是开发了一个能代劳的AI RepoRecon: I Got Tired of Reading Bad Code, So I Built an AI That Does It For Me (dev.to)
10. IssueWatch — 绝不错过任何与你相关的 GitHub Issue IssueWatch — Never Miss a GitHub Issue That Matters to You (dev.to)
11. 我在任务进行中从一名代理手中夺回了键盘——这位新晋PMP无法测试的内容如下 I Took the Keyboard Back From an Agent Mid-Task - Here''s What the New PMP Can''t Test (dev.to)
12. 我试图修复一个漏洞。一个价值140万美元的人工智能系统拒绝了。二十天后,这个漏洞造成的损失高达420万美元。 I Tried to Fix a Vulnerability. A 1,400,000 AI System Said No. Twenty Days Later, That Vulnerability Cost 4,200,000. (dev.to)
15. 两位开发者和一位副驾驶共同打造了 ClassifierAI:一款可在 DEV 上自动检测 AI 生成内容的 Chrome 扩展程序原型! Two Devs and a Copilot Created ClassifierAI: A Prototype Chrome Extension that Automatically Detects AI-Generated Content on DEV! (dev.to)
16. 我如何通过原生模块将 AWS Face Liveness 与 Expo 集成 How I Bridged AWS Face Liveness to Expo with a Native Module (dev.to)
17. CHANGELOG.md 如今既面向人类也面向人工智能,那么让我们将其自动化吧 CHANGELOG.md is for Both Humans and AI Now, So Let’s Automate It (dev.to)
20. 我开发了一个工具,本想防止克劳德忘记一切,结果我自己却把它忘了 I built a tool to stop Claude from forgetting everything then forgot about it myself (dev.to)
21. 开发者机会雷达 #2:芬兰全额资助的驻留项目、人工智能研究计划以及奖金6万美元的黑客马拉松 Dev Opportunity Radar #2: A Fully-Funded Residency in Finland, AI Research Program, and a 60K Hackathon (dev.to)
22. 应对驱逐:如何在 GKE 上构建抗中断的人工智能工作负载 Surviving the eviction: How to build interrupt-resilient AI workloads on GKE (dev.to)
23. 我将一个7B的视觉模型简化为2B的模型以便截图——而那个7B的教师模型得分更低 I distilled a 7B vision model into a 2B one for screenshots — and the 7B teacher scored worse (dev.to)
24. 我受够了Miro每次复盘都要花10分钟,于是我为网页制作了一个留言板。 I Got Sick of Miro Eating 10 Minutes of Every Retro. So I Built a Corkboard for the Web. (dev.to)
25. 我启动了 10,000 个 Java 线程。我的笔记本电脑几乎毫无察觉。 I Started 10,000 Java Threads. My Laptop Barely Noticed. (dev.to)
29. 谷歌只需新增一项功能,就能让整个初创企业领域销声匿迹 Google Is One Feature Away From Killing an Entire Startup Category (dev.to)
30. 想和我一起工作吗?DEV正在招聘一名社区项目经理! Want to work with me? We''re hiring a Community Program Manager at DEV! (dev.to)
32. 如今似乎每款工具里都塞了个编码代理……我觉得这说不通。 Every tool seems to have a coding agent horned in these days..... I don''t think that makes sense. (dev.to)
34. 在发现 7 个 Next.js 16 缓存漏洞后,我不再靠猜测,而是构建了一个系统 After 7 Next.js 16 Caching Bugs, I Stopped Guessing and Built a System (dev.to)
36. 未来我们就是这样建网站的吗?(webMCP 现场演示 ) Is This How We''ll Build Websites Soon? (webMCP Live Demo ) (dev.to)
39. LlamaStash 的运行速度如何?开销、吞吐量以及与 Ollama 和 LM Studio 的公平对比 How fast is LlamaStash? Overhead, throughput, and a fair comparison with Ollama and LM Studio (dev.to)
40. 我的公司花66万美元买了一个AI平台。我因此被取代了。上周五凌晨2点58分,它解决了所有问题。随后,它却回滚了错误的补丁。 My Company Bought a 660K AI Platform. I Was Replaced. On Friday at 2:58 AM, It Fixed Everything. Then It Rolled Back the Wrong Patch. (dev.to)
44. Git-regret —— 我终于完成了这个能读出你“耻辱”的命令行工具 Git-regret — I Finally Finished the CLI That Reads Your Shame (dev.to)
46. 我用最后7%的Copilot代币,让一款2014年的WinForms游戏重获新生 I Used My Last 7% of Copilot Tokens to Bring a 2014 WinForms Game Back to Life (dev.to)
47. 我原以为人工智能能让我编写代码更快。结果我却花了6个小时调试一行代码。 I Thought AI Would Make Me Code Faster. Then I Spent 6 Hours Debugging One Line. (dev.to)
48. peektea v2:昨天只是预览,今天终于能真正打开文件了 peektea v2: yesterday it peeked, today it actually opens things (dev.to)
50. 为什么我的分析工具会将每次页面访问记录两次(以及我是如何解决的) Why My Analytics Was Logging Every Page Visit Twice (And How I Fixed It) (dev.to)
51. 从直觉编程到清晰思考:AI时代非技术型建设者需要什么 From vibe coding to clear thinking: what non-technical builders need in the age of AI (dev.to)
57. 我重写了我的卡拉OK应用,让每个人的手机都能变成遥控器 I Rebuilt My Karaoke App So Everyone''s Phone Could Be a Remote (dev.to)
58. 人工智能的失败并非因为模型本身有问题,而是因为它缺乏深层的基础。 AI doesn''t fail because the model is bad. It fails because there''s nothing underneath it (dev.to)
60. OrinIDE v1.0.7 — 人工智能终于能全面理解您的整个项目了 OrinIDE v1.0.7 — The AI Finally Understands Your Whole Project (dev.to)
62. 从“三天截止期限”的灾难到真正的产品:重振我的首个全栈项目 From a 3-Day Deadline Disaster to a Real Product: Reviving My First Full-Stack Project (dev.to)
63. 克劳德与Gemini在4个安全领域中的对决:势均力敌——而63%的AI代码在加固过程中被跳过 Claude vs Gemini Across 4 Security Domains: A Dead Heat — and the Hardening 63% of AI Code Skips (dev.to)
64. 仅靠懒加载还不够:我是如何将加载时间从15秒缩短到1.1秒的 Lazy Loading Wasn''t Enough: How I Cut Load Time from 15s to 1.1s (dev.to)
65. 我对移动运营商的APK进行了逆向工程——随后Hermes Agent撰写了执行报告 I reverse-engineered my mobile operator''s APK — then Hermes Agent wrote the executive report (dev.to)
66. 我将Hermes Agent转变为一个可验证的代理操作系统 I Turned Hermes Agent into a Verifiable Agent Operating System (dev.to)
67. 我在 Python 代理中添加了一个 71 行代码的黑盒子,然后使用 DuckDB 查询了那次价值 200 美元的崩盘事件 I Added a 71-Line Black Box to My Python Agent, Then Queried the 200 Crash With DuckDB (dev.to)
70. 重振 Ultra Creative Suite:首款专为视障用户设计的全无障碍视频编辑器 Reviving Ultra Creative Suite: The First Fully Accessible Video Editor for Blind Users (dev.to)
72. 每一场伟大的杯赛都始于一个正确的问题——我借助 Hermes Agent 构建了支撑这个答案的社区 Every Great Cup Starts with the Right Question — I Built the Community Behind the Answer with Hermes Agent (dev.to)
73. 我用 Python 开发了一款人工智能驱动的电脑显示器。28 位陌生人共同构成了它的“大脑”。PC Workman 1.7.6 I Built an AI-Powered PC Monitor in Python. 28 Strangers Shaped Its Brain. PC Workman 1.7.6 (dev.to)
74. 两年前我没能完成的项目——ChatGPT笔记本 The Project I Couldn’t Finish 2 Years Ago - Notebook for ChatGPT (dev.to)
75. 我在 PM Agent 中添加了人工否决功能——看看首先出了什么问题 I Added a Human Veto to My PM Agent — Here''s What Broke First (dev.to)
76. 500 MB 的缓冲区如何导致我们的归档任务失败——以及为何流式传输解决了这个问题 How a 500 MB Buffer Killed Our Archival Job — And Why Streaming Fixed It (dev.to)
80. Kubernetes 过度使用:为何我为小型环境打造了一款“K8s 杀手” The Kubernetes Overkill: Why I Built a "K8s Killer" for Small Environments (dev.to)
81. 一款自托管的 Google reCAPTCHA 替代方案(我们提供该服务) A self-hosted Google reCAPTCHA alternative (we ship it) (dev.to)
82. 我开发了“Sổ Lãi”——一款专为越南网店设计的实用利润追踪工具 I Built Sổ Lãi, a Practical Profit Tracker for Vietnamese Online Shops (dev.to)
83. 我的 AI 总是在胡编乱造职业发展路径。我放弃了这个项目。GitHub Copilot 帮我修复了真正存在的问题。 My AI Kept Hallucinating Career Paths. I Abandoned the Project. GitHub Copilot Helped Me Fix What Was Actually Broken. (dev.to)
84. 开发者机会雷达 #1:10万美元的人工智能资助金、两项研究员奖学金以及人工智能代理资源 Dev Opportunity Radar #1: A 100K AI Grant, Two Fellowships, and an AI Agent Resource (dev.to)
85. DevRelCon NYC 2026:开发者关系、DevX 与开发者营销的交汇之地 DevRelCon NYC 2026: Where Developer Relations, DevX, & Developer Marketing Come Together (dev.to)
86. Copilot 帮助我将我的个人项目发布到了 App Store Copilot helped me deploy my passion project to the App Store (dev.to)
87. Git 与 GitHub:如何使用简单的 Git 命令管理 GitHub 仓库 Git for GitHub: How to use simple Git commands to manage a GitHub repository (dev.to)
90. 我为自己的工学学士毕业设计开发了一个 MCP 代理框架。发布首周,该框架在 npm 上的下载量就突破了 750 次。以下便是它的逆袭故事。 I Built an MCP Agent Framework for My B.Tech Major Project. It Got 750 npm Downloads in Week One. Here''s the Comeback Story. (dev.to)
92. 利用 Hermes Agent 构建以离线模式为主的丛林大火响应平台 Building an Offline-First Bushfire Response Platform With Hermes Agent (dev.to)
94. AI 代理在处理我们 80% 的代码方面表现出色。剩下的 20% 正是我们仍需资深开发人员的原因。 AI Agents Are Great at 80% of Our Code. The Other 20% Is Why We Still Need Seniors. (dev.to)
101. Hermes Mentor —— 助你摆脱教程地狱的本地 AI 助手 Hermes Mentor — A Local AI Agent That Gets You Out of Tutorial Hell (dev.to)
102. Next.js 16 在 4 个地方导致我的应用崩溃,但都没有抛出错误 Next.js 16 Broke My App in 4 Places and None of Them Threw an Error (dev.to)
107. GitHub Copilot 帮助我们在电子商务业务中将时间缩短了 50% 至 75% Github Copilot helped us cut down 50-75% time in our e-commerce business (dev.to)
113. 如果连微软和优步都负担不起人工智能编程,我们其他人还有什么机会? If Microsoft and Uber can''t afford AI coding, what chance do the rest of us have? (dev.to)
114. 现在我明白为什么翻译们会因人工智能而感到恐慌了——程序员也该恐慌吗? Now I See Why Translators Are Panicking Over AI—Should Coders Panic Too? (dev.to)
117. 为什么人工智能生成的代码总是“够用”——却永远称不上“出色” Why AI-Generated Code Is Always Good Enough — And Never Great (dev.to)
118. 一款基于 Google Gemma 4 的 100% 私有本地 AI 简历优化工具:我是如何打造 ResuMate 的! A 100% Private, Local AI Resume Optimizer with Google Gemma 4: How I Built ResuMate! (dev.to)
119. Google I/O 2026:AI 仅用 12 小时就开发出一个操作系统。而我却把时间都花在整理截图上了。 Google I/O 2026: AI Built an OS in 12 Hours. I Spent Mine Sorting Screenshots. (dev.to)
120. 别让人工智能破坏你们的集体思维:面向工程团队的实用指南 Don’t let AI break your collective thinking: a practical guide for engineering teams (dev.to)
121. 我放弃了云端大型语言模型,转而使用 Gemma 4 4B:一位 DevOps 工程师的 48 小时现实检验 I Ditched Cloud LLMs for Gemma 4 4B: A DevOps Engineer''s 48-Hour Reality Check (dev.to)
122. PromptGuard:我开发了一款本地 AI 隐私防火墙,能在提示词离开您的设备之前对其进行数据脱敏处理 PromptGuard: I Built a Local AI Privacy Firewall That Sanitizes Your Prompts Before They Leave Your Machine (dev.to)
123. Vestige:一款不会对你吹牛的Gemma 4脑电波追踪仪 Vestige: A Gemma 4 Brain Tracker That Won''t Blow Smoke Up Your Ass (dev.to)
124. 先做再用:我是如何从零开始编写435节人工智能工程课程的 Build It, Then Use It: How I wrote 435 AI engineering lessons from scratch (dev.to)
125. 你的公司不会用优秀的AI来取代你。他们只会用糟糕的AI来取代你。 Your company won''t replace you with good AI. They''ll replace you with bad AI. (dev.to)
126. NeuralHats:我利用Gemma 4将爱德华·德·博诺的“六顶思考帽”模型应用于本地化大型语言模型 NeuralHats: I Put Edward de Bono’s Six Thinking Hats on Local LLMs Using Gemma 4 (dev.to)
129. 大家都在热议 Gemini 3.5 Flash。但 2026 年 Google I/O 大会上的真正亮点其实是一个技能文件。 Everyone''s Talking About Gemini 3.5 Flash. The Real Story at Google I/O 2026 Was a Skill File. (dev.to)
131. Google Antigravity 1.0 至 2.0/IDE 快速迁移指南 Google Antigravity 1.0 to 2.0/IDE Quick Migration Guide (dev.to)
132. 从“洞穴”里的手机到全球开源:谷歌的Gemma模型为何是预算有限开发者的救命稻草 From a Phone in a "Cave" to Global Open Source: Why Google’s Gemma Models are a Lifeline for Budget Developers (dev.to)
134. 我在笔记本电脑的显卡上对 Gemma 4 E4B 的 128K 上下文进行了压力测试——召回效果很好,预填充效果则不尽如人意 I stress-tested Gemma 4 E4B''s 128K context on a laptop GPU — recall is great, prefill is not (dev.to)
136. 2026年谷歌I/O大会上最被低估的公告,竟被埋没在一段90秒的演示中 The Most Underrated Announcement from Google I/O 2026 Was Buried in a 90-Second Demo (dev.to)
137. 我基于 Gemma 4 E4B 的 128K 上下文构建了一个本地文档问答工具——耗时五天,未使用 RAG,也未连接云端 I built a local document Q&A tool around Gemma 4 E4B''s 128K context — five days, no RAG, no cloud (dev.to)
138. 我仅用3个月就搭建了一个生产级电商平台——GitHub Copilot 就是我的联合创始人 I Built a Production-Grade E-Commerce Platform in 3 Months — GitHub Copilot Was My Co-Founder (dev.to)
139. 从一个被搁置的黑客马拉松项目到一个 AI 学习工作区 From an Abandoned Hackathon Project to an AI Study Workspace (dev.to)
140. 7 个 Next.js 16 版本的缓存漏洞:编译通过却在生产环境中悄然失效 7 Next.js 16 Caching Bugs That Compile Fine and Break Silently in Production (dev.to)
142. 我提高了Gemma 4的代币上限。Dense模型不再拒绝了。 I Raised Gemma 4''s Token Cap. The Dense Model Stopped Refusing. (dev.to)
143. 您应该在开发中使用 Gemma 4 吗?通过多维分析,判断 Gemma 4 是否适合您! Should you use Gemma 4 for your Development? A Multiversal Analysis to Determine if Gemma 4 is Right for You! (dev.to)
146. 我们如何利用 Gemini Embeddings 在 DEV 上构建一个更智能、由社区驱动的信息流 How we''re using Gemini Embeddings to build a smarter, community-driven feed on DEV (dev.to)
147. 无障碍功能——这看起来正是开发者倡导者大显身手的时候! Accessibility - This looks like a job for a developer advocate! (dev.to)
151. 回收变简单:一款由Gemma 4驱动的波兰回收助手 Recycling made easy: a Polish recycling assistant powered by Gemma 4 (dev.to)
153. 利用人工智能构建数据库性能测试工具:真实详解 Building a Database Performance Testing Tool With AI: The Honest Breakdown (dev.to)
154. 参加 GitHub “Finish-Up-A-Thon” 挑战赛:总奖金高达 3,000 美元! Join the GitHub Finish-Up-A-Thon Challenge: 3,000 Prize Pool! (dev.to)
157. 中级开发者的悖论:为何初级开发者从容不迫,而中级开发者却会在凌晨三点重构你的代码 The Mid-Dev Paradox: Why Juniors Are Chill and Mid-Levels Will Reorganize Your Code at 3 AM (dev.to)
160. MCP 现已登陆您的手机:Google AI Edge Gallery 的实际功能是什么 MCP Just Landed on Your Phone: What Google AI Edge Gallery Actually Does (dev.to)
161. 一个糟糕的提示词如何在18分钟内耗尽了我40美元的Claude预算 How one bad prompt burned 40 of my Claude budget in 18 minutes (dev.to)
162. 我决定构建一个 Kubernetes 替代方案。是的,我知道我疯了 I decided to build a Kubernetes alternative. Yes, I know I''m crazy (dev.to)
165. Google AI Edge Gallery 现已支持在设备上运行 MCP。隐私架构 Google AI Edge Gallery Now Runs MCP On-Device. The Privacy Architecture (dev.to)
166. 发现了一个隐藏在我关注者中的、有组织的 GitHub 关注机器人网络? Found a Coordinated GitHub Follow Botnet Hiding in My Followers? (dev.to)
167. 为印度普及前沿人工智能:Gemma 4 在资源匮乏环境中的边缘计算能力 Democratizing Frontier AI for Bharat: Gemma 4’s Edge Capabilities in Low-Resource Environments (dev.to)
170. Cloudflare 已弃用我的生产环境模型。推荐的升级方案需花费 4 美元/百万令牌。而 Gemma 4 MoE 则无需此费用。 Cloudflare Deprecated My Production Model. The Recommended Upgrade Costs 4/M Tokens. Gemma 4 MoE Doesn''t. (dev.to)
174. 我开发了一个免费的调试器,因为在开发过程中,Next.js 16 的 ''use cache'' 功能完全无法察觉 I built a free debugger because Next.js 16 ''use cache'' was completely invisible during development (dev.to)
175. 如果在人工智能时代,房间里的每部手机都能变成游戏手柄,会怎样? What If Every Phone in the Room Was a Game Controller — in the Age of AI? (dev.to)
177. 诚实是最好的策略。关于在DEV环境中使用AI的秘密之战 Honesty is the best Policy. The Secret Wars on the use of AI on DEV (dev.to)
180. 我还是不想给克劳德 SSH 访问权限,所以我为我的家庭实验室搭建了一个代理服务器 I still don''t want to give Claude SSH access, so I built a doctor for my homelab (dev.to)
181. 使用 Antigravity 和 Strava API 构建骑行分析 Web 应用 Building a Ride Analysis Web App with Antigravity and the Strava API (dev.to)
183. 自托管版 Gemma 4 用于生产自动化,揭示了两个 Ollama 漏洞 Self-Hosting Gemma 4 for Production Automation Revealed Two Ollama Bugs (dev.to)
186. 您的代码库存在技术债务。但您的团队是否也存在理解债务? Your Codebase Has Technical Debt. But Does Your Team Have Comprehension Debt? (dev.to)
187. 如今人人都在谈论更强大的AI模型。而我开发了一款基于Gemma 4的“农场医生”系统,即使在断网时也能正常运行。 Everyone''s Talking About Bigger AI Models. I Built a Gemma 4 Farm Doctor That Works When the Internet Doesn''t. (dev.to)
188. 我直接在浏览器中运行了 AI 模型,并测量了其对核心网络指标的影响 I Ran AI Models Directly in the Browser and Measured What It Did to Core Web Vitals (dev.to)
190. 我把过去六个月的回顾资料给了克劳德。它发现了我之前遗漏的三点。 I gave Claude six months of our retros. It found three things I''d missed. (dev.to)
191. DeepSeek 正运行在你最常用的 AI 工具中——而没人告诉你 DeepSeek Is Running Inside Your Favorite AI Tool – And Nobody Told You (dev.to)
192. 我为 Gemma4 挑战赛开发了一个实时美国手语(ASL)翻译器,无需云端支持 I built a real-time ASL interpreter for the Gemma4 challenge, no cloud needed (dev.to)
193. 我开发了一款桌面应用,彻底告别了“打开7个终端窗口然后祈祷”的日常 I Built a Desktop App That Ends My “Open 7 Terminals and Pray” Routine (dev.to)
195. #100DaysOfCode 第100天——我的成果、收获与下一步计划 Day 100 of #100DaysOfCode — What I Built, What I Learned, and What''s Next (dev.to)
196. 我受够了 Docker 占用我的树莓派内存——于是我开发了自己的容器编排工具 I Got Tired of Docker Eating My Raspberry Pi''s RAM — So I Built My Own Container Orchestrator (dev.to)
197. Gemma 4 対 克劳德 対 Llama:哪款模型最受开发者青睐 Gemma 4 vs Claude vs Llama: Which Model Wins for Devs (dev.to)
198. “最后的开发者博物馆”:从 Stack Overflow 到人工智能 The Last Developer Museum: From Stack Overflow to AI (dev.to)
200. 我在 Gemma 4 中添加了三条规则。MoE 进行了搜索。Dense 模型拒绝了。 I Added Three Rules to Gemma 4. The MoE Searched. The Dense Model Refused. (dev.to)
203. 别再凭感觉来评估你的代理技能了。消除上下文安全风险。 Stop trusting your agent skills with vibes. Eliminate the context security risk. (dev.to)
206. OpenSEO 在 GitHub 上获得了 1.7k 个星标。我只花了 0 美元就实现了同样的功能。 OpenSEO Has 1.7k GitHub Stars. I Built the Same Thing for 0. (dev.to)
207. 通过聊天功能,创建并安排您专属的Hacker News邮件摘要吧! Chat to build and schedule your own personal Hacker News email digest! (dev.to)
210. 构建“Sweets Vault”——一款集成物理硬件的多模态Gemini代理 Building "Sweets Vault" - a multimodal Gemini Agent with physical hardware integration (dev.to)
211. 更大的AI模型并不一定更好。以下是实际选择的方法。 Bigger AI models aren''t always better. Here''s how to actually choose. (dev.to)
214. #100DaysOfCode 第99天 — DevCollab:部署 Next.js 并上线 Day 99 of #100DaysOfCode — DevCollab: Deploying Next.js and Going Live (dev.to)
215. 您的软件包比《雷神之锤》大4000倍。通过9个步骤的审核即可解决此问题。 Your bundle is 4000x bigger than Quake. The 9-step audit that fixes it. (dev.to)
218. 我让 Cursor 重命名了一个函数。它发送了 8,400 个代币。我确认了一下。 I asked Cursor to rename a function. It sent 8,400 tokens. I checked. (dev.to)
219. 人工智能可以编写代码,但它仍然会忽略那些关键的决策。 AI Can Write the Code. It Still Forgets the Decisions That Matter. (dev.to)
220. 人工智能并没有让软件工程变得更简单,反而让其中的难点变得更加棘手。 AI Didn''t Make Software Engineering Easier. It Made the Hard Parts Harder. (dev.to)
221. 全新的 AWS 代理工具包包含 20 多种代理技能,但如果没有这个文件,您的代理可能永远无法加载它们 The new Agent Toolkit for AWS includes 20 agent skills, but your agent might never load them without this one file (dev.to)
222. 我如何借助人工智能助手在4天内完成整个产品的文档编写 How I Documented an Entire Product in 4 Days with an AI Agent (dev.to)
223. 使用 Veo 3.1 和 NanoBanana 2 制作完美正方形 AI 视频 Hacking perfectly square AI videos with Veo 3.1 and NanoBanana 2 (dev.to)
224. PHP 与 Node.js 对比,Next.js 与 Angular 对比:该学什么 PHP vs Node.js & Next.js vs Angular: What to Learn (dev.to)
225. 老旧电脑 vs 新型AI:2015年的台式机真的能运行Gemma 4吗?(2B vs 4B 性能测试) Old PC vs New AI: Can a 2015 Desktop Actually Run Gemma 4? (2B vs 4B Benchmark) (dev.to)
228. 我的 GitHub 坟场里有 27 个已废弃的项目。以下是关于原因的残酷真相。 My GitHub Graveyard has 27 dead projects. Here is the brutal truth about why. (dev.to)
229. 本地优先的人工智能实践范例:Gemma 4 E2B 与“思考模式”如何赋能 DiagramFlowAI Local-First AI Done Right: How Gemma 4 E2B and ''Thinking Mode'' Powered DiagramFlowAI (dev.to)
231. 职业倦怠的真实感受(而非Instagram上所描述的那样) What Burnout Actually Feels Like (Not What Instagram Tells You) (dev.to)
232. 从第600万名到第2.6万名:1.5年、1040道LeetCode题目,以及一个改变一切的惊喜包裹 From Rank 6,000,000 to 26,000: 1.5 Years, 1040 LeetCode Problems, and a Surprise Package That Changed Everything (dev.to)
233. React 过于复杂:为何 Python HTMX 将在 2026 年占据主导地位 React is Overkill: Why Python HTMX is Dominating in 2026 (dev.to)
237. 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)
239. 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)
241. “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)
242. 《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)
243. 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)
244. 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)
246. 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)
247. 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)
250. 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)
251. 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)
253. 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)
256. 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)
259. 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)
261. 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)
262. 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)
265. 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)
268. 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)
269. @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)
271. 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)
272. 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)
273. 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)
274. 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)
275. 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)
277. 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)
279. [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)
281. 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)
282. 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)
288. 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)
290. 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)
294. 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)
296. 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)