4. 快來參加我們的“開發者週末挑戰賽”——總價值1,000美元的獎品將頒發給十位優勝者!作品提交截止時間為4月20日UTC時間上午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)
5. 使用 Gemini Interactions API 構建一個支持語音功能的 Telegram 機器人 Build a voice-enabled Telegram Bot with the Gemini Interactions API (dev.to)
13. 利用 Google Cloud Run MCP 服務器構建多代理 A2A 部署 Building with the Google Cloud Run MCP Server for Multi-Agent A2A Deployment (dev.to)
15. 使用 Cloud Run Jobs 和 AlloyDB 構建可擴展的 RAG 後端 Building a Scalable RAG Backend with Cloud Run Jobs and AlloyDB (dev.to)
16. 我如何利用 AST 和 Gemini 解決“代碼庫入門”問題 How I''m using ASTs and Gemini to solve the "Codebase Onboarding" problem (dev.to)
18. 我如何利用CrewAI和Ollama構建了一個自動數據集生成器(運行72小時,生成1,065條數據) How I Built an Autonomous Dataset Generator with CrewAI Ollama (72-hour run, 1,065 entries) (dev.to)
20. 大多數應用的運行速度都比實際需要的要慢——原因如下(現場演示) Most Apps Are Slower Than They Need to Be — Here’s Why (Live Demo) (dev.to)
24. 為何要搭建本地 MCP 服務器(以及如何在 15 分鐘內完成) Why Build a Local MCP Server (And How to Do It in 15 Minutes) (dev.to)
25. 《亞馬遜Bedrock入門指南:從首個提示詞到AI代理(完整教程)》 Amazon Bedrock for Beginners From First Prompt to AI Agent (Full Tutorial) (dev.to)
26. 你在 AI 代理中過度設計的那些功能(大語言模型已經能處理它們了) Things You''re Overengineering in Your AI Agent (The LLM Already Handles Them) (dev.to)
27. 你的工作不會消失。但有人正在籌款,而這筆錢能否籌到,就取決於你是否認為你的工作會消失。 Your Job Isn''t Going Away. But Someone''s Fundraise Depends on You Thinking It Is. (dev.to)
28. 從軟件工程師到開發者倡導者:我多年來在不知不覺中完成的悄然轉型 From Software Engineer to Developer Advocate: The Silent Transition I''ve Been Making for Years Without Knowing It (dev.to)
30. 利用本地大型語言模型構建以隱私為先的語音控制人工智能代理 - Building a Privacy-First Voice-Controlled AI Agent with Local LLMs - (dev.to)
32. 薛定諤的備份:如果沒測試過恢復,那就不算有備份 Schrödinger''s Backup: If You Haven''t Tested a Restore, You Don''t Have a Backup (dev.to)
33. 將使用 Google Apps Script 構建的遠程子代理與 Gemini CLI 集成 Integrating Remote Subagents Built by Google Apps Script with Gemini CLI (dev.to)
35. 使用 claude-mem 為 Claude 代碼添加持久內存——外加一個自制的輕量級替代方案 Adding Persistent Memory to Claude Code with claude-mem — Plus a DIY Lightweight Alternative (dev.to)
39. 我正在開發“SafeMap”——一款以安全為首要考量、風格類似Tinder的旅行應用(急需犀利反饋) I’m Building “SafeMap” – A Tinder-Style Travel App That Prioritizes Safety (Brutal Feedback Needed) (dev.to)
40. 我原以為最難的是編寫代碼。結果發現,生產環境才是安全假設的墳墓。 I Thought the Hard Part Was the Code. Turns Out Production Is Where Security Assumptions Go to Die. (dev.to)
41. 使用代理開發工具包 (ADK)、Amazon EKS 和 Gemini CLI 實現多代理 A2A Multi-Agent A2A with the Agent Development Kit(ADK), Amazon EKS, and Gemini CLI (dev.to)
42. 雙子座思維:那些“聰明”的模型如何出乎意料地讓我超支 Gemini Thinking: How "Brainy" Models Unexpectedly Blew My Budget (dev.to)
43. DotShare v3.0 —— 我將 VS Code 擴展程序打造成了一套完整的發佈套件(內置 Dev.to 和 Medium) DotShare v3.0 — I Turned My VS Code Extension Into a Full Publishing Suite (Dev.to Medium Inside) (dev.to)
44. 我製作了一款會讓你產生精神錯亂的平臺遊戲——金幣會偷走你的生命,尖刺能治癒你,而出口大門會殺死你 I Built a Platformer That Gaslights You — Coins Steal, Spikes Heal, and The Exit Door Kills You (dev.to)
46. 構建一個能從人類編輯中學習(而不僅僅是反饋)的AI聊天機器人 Building an AI Chatbot That Learns From Human Edits (Not Just Feedback) (dev.to)
47. 《開發者本地運行大型語言模型指南:Ollama、Gemma 4,以及為何你的個人項目不需要 API 密鑰》 The Developer''s Guide to Running LLMs Locally: Ollama, Gemma 4, and Why Your Side Projects Don''t Need an API Key (dev.to)
48. 使用 Gemini Live 和 Reachy Mini 製作會說話的機器人 Build a Talking Robot with Gemini Live and Reachy Mini (dev.to)
50. 構建足球數據分析管道:模式、權衡及生產環境中的應用 Building a Football Analytics Pipeline: Patterns, Tradeoffs, and What Production Would Look Like (dev.to)
53. 我又進行了500次代理內存實驗。真正的問題並不是回憶,而是綁定。 I Ran 500 More Agent Memory Experiments. The Real Problem Wasn’t Recall. It Was Binding. (dev.to)
54. “規格優先的代理式開發:一種結構化、可追溯的AI輔助開發方法論” Specification-First Agentic Development: A Methodology for Structured, Traceable AI-Assisted Development (dev.to)
56. 標題:《過度思考機器——我開發了一款能將“喝茶還是喝咖啡?”變成一場存在主義危機的AI》 發佈日期:false Title: The Overthinking Machine — I Built an AI That Turns "Tea or Coffee?" Into an Existential Crisis published: false (dev.to)
57. 用35行Python代碼構建桌面文件管理器——週末項目 Build a Desktop File Organizer in 35 Lines of Python — Weekend Project (dev.to)
58. 我厭倦了使用10種不同的開發工具,於是自己開發了一個 I got tired of using 10 different dev tools, so I built my own (dev.to)
59. 如何通過編程方式安裝 Firefox 擴展(以及為何會出現故障) How to Programmatically Install Firefox Extensions (And Why It Breaks) (dev.to)
61. 上週我審查了 3 個使用“vibe-coded”的 PR。每個 PR 都硬編碼了 API 密鑰。於是,我開發了一個代碼檢查工具。 I code-reviewed 3 "vibe-coded" PRs last week. Every one had hardcoded API keys. So I built a grader. (dev.to)
62. 追蹤、傳播攻擊以及我們在真實電子郵件流量中發現的情況 Tracking, Propagation Attacks, and What We Found in Real Email Traffic (dev.to)
64. 僅靠速率限制還不夠——於是我構建了一個具備行為濫用檢測功能的 API 網關 Rate Limiting Wasn''t Enough — So I Built an API Gateway with Behavioral Abuse Detection (dev.to)
66. VarCouch —— 我為你的代碼變量打造了一位 AI 心理諮詢師(它們確實需要) VarCouch — I Built an AI Therapist for Your Code Variables (They Need It) (dev.to)
69. 公式是正確的。假設是錯誤的。這並非人工智能的問題。 The Formula Was Exact. The Assumption Was Wrong. That''s Not an AI Problem. (dev.to)
70. 我讓 Mac 崩潰了 5 次,只為讓你免於此苦:在 macOS 上掛載 S3 文件 I Crashed My Mac 5 Times So You Don''t Have To: Mounting S3 Files on macOS (dev.to)
73. 一個用於通過 WebGPU 運行本地 LLM 的簡單 React Hook A simple React hook for running local LLMs via WebGPU (dev.to)
77. 我原本想讓“愛爾蘭開發者節”更易於參與——結果卻開發了一個SaaS平臺 I tried to make DevFest Ireland accessible - and ended up building a SaaS (dev.to)
78. 利用 Cloud Run 作業對 Gemma 3 進行微調:使用無服務器 GPU(NVIDIA RTX 6000 Pro)進行寵物品種分類 Fine-Tuning Gemma 3 with Cloud Run Jobs: Serverless GPUs (NVIDIA RTX 6000 Pro) for pet breed classification (dev.to)
81. 我構建了一個開源的可視化 Kubernetes 編排平臺——無需 YAML I Built an Open-Source Visual Kubernetes Orchestration Platform — No YAML Required (dev.to)
83. AS 的 HTCPCP AI Butler —— 製造混亂而非咖啡的人工智能 418% 混亂:你的無用 AI 管家 AS’ HTCPCP AI Butler — The AI That Brews Chaos, Not Coffee 418% Chaos: Your Useless AI Butler (dev.to)
86. 釋放休閒樂趣:基於人工智能的“氛圍編程”,打造快速、小眾的應用程序 Unlocking Casual Fun: AI-Powered ''Vibe Coding'' for Quick, Niche Apps (dev.to)
88. 我開發了一個用於舉辦現場抽獎活動的機器人(然後試圖作弊) I Built an Agent to Run Live Event Raffles (then tried to rig it) (dev.to)
90. 我建了一個網站,它唯一的“功能”就是解釋它是如何構建自身的 I Built a Website Whose Only Feature Is Explaining How It Builds Itself (dev.to)
96. 人工智能編碼記憶的訣竅不在於更龐大的指令庫,而在於更精簡、分層的知識體系 The trick to AI coding memory isn''t a bigger instruction file — it''s smaller, layered knoledge (dev.to)
98. 谷歌翻譯算什麼?這才是你唯一需要的翻譯工具,由神經網絡和90年代的騙局驅動 Google Translate Who? The Only Translator You’ll Ever Need, Powered by Neural Networks & 90s Scams (dev.to)
100. 厭倦了千篇一律的AI助手?我開發了一款名為“桌面寵物”的Copilot,它會在你的屏幕上四處遊走並編寫代碼 Tired of boring AI assistants? I built a "Desktop Pet" Copilot that wanders around your screen and writes code (dev.to)
102. 我開發了一款延遲低於500毫秒的語音AI。這裡要談談一個鮮少有人提及的回聲消除問題 I Built a Voice AI with Sub-500ms Latency. Here''s the Echo Cancellation Problem Nobody Talks About (dev.to)
103. 我開發了一個代碼檢查工具,它證明你的 AGENTS.md 文件中有 74% 的內容是在浪費你的 AI 代理的時間 I built a linter that proves 74% of your AGENTS.md is wasting your AI agent''s time (dev.to)
104. 大規模可觀測性:掌握 ADK 回調以優化成本、延遲和可審計性 [GDE] Observability at Scale: Mastering ADK Callbacks for Cost, Latency, and Auditability [GDE] (dev.to)
106. 使用 Python、Gemini CLI 和 Amazon AWS ECS Express 進行 MCP 開發 MCP Development with Python, Gemini CLI, and Amazon AWS ECS Express (dev.to)
107. 從故障的 Docker 容器到可運行的 AI 代理:OpenClaw 的完整開發歷程 From Broken Docker Containers to a Working AI Agent: The Full OpenClaw Journey (dev.to)
109. 為什麼 SSH 密鑰管理存在缺陷,以及證書如何解決這個問題 Why SSH Key Management Is Broken and How Certificates Fix It (dev.to)
110. “Vibe-Coding”讓位吧:我開發了一款用於“STRESS-CODING”的人工智能編輯器 Move over, Vibe-Coding: I built an AI editor for STRESS-CODING (dev.to)
112. 我們如何摒棄後端渲染,藉助 framewebworker 實現全客戶端渲染 How We Ditched Backend Rendering and Went Full Client-Side with framewebworker (dev.to)
113. 面向代碼庫的谷歌地圖:粘貼 GitHub 鏈接,隨時提問 Google Maps for Codebases: Paste a GitHub URL, Ask Anything (dev.to)
115. 使用 CopilotKit 和 LangGraph 構建一個可用於生產環境的可組合式 AI 代理系統 Building a Production-Ready Composable AI Agent System with CopilotKit and LangGraph (dev.to)
116. 使用Rust構建去中心化網狀網絡——來自全球南方的啟示 Building a Decentralized Mesh Network in Rust — Lessons from the Global South (dev.to)
117. 我如何發現每月浪費的1,240美元LLM API費用(並開發了一款工具幫你找出你的浪費) How I Found 1,240/Month in Wasted LLM API Costs (And Built a Tool to Find Yours) (dev.to)
120. 我用 Rust 開發了一個 npm 惡意軟件掃描器,因為 npm audit 功能不夠全面 I built an npm malware scanner in Rust because npm audit isn''t enough (dev.to)
122. 我在法國搭建了一個數據庫,因為《雲法案》使得歐盟數據主權無法實現 I built a database in France because the Cloud Act makes EU data sovereignty impossible (dev.to)
123. 我如何使用 Electron、React 和 SQLite 構建了一個桌面交易日誌 How I Built a Desktop Trading Journal with Electron, React, and SQLite (dev.to)
124. 《禁忌:一個針對“22”問題的嚴肅AI解決方案,儀式感十足卻毫無結果》 Fourbidden: A Serious AI Solution to 22, With Maximum Ceremony and No Resolution (dev.to)
126. 我每月為克勞德支付200美元。Anthropic悄然降低了我的服務等級。 I''m Paying 200/Month for Claude. Anthropic Quietly Downgraded What I''m Getting. (dev.to)
128. 你正在為Claude Code花錢,卻不知道具體花了多少錢 You''re spending money on Claude Code and have no idea how much (dev.to)
129. 我開發了一個基於圖形界面的用戶腳本管理器,能夠將網頁交互轉化為用戶腳本! I built a GUI-powered Userscript manager to turn page interactions into userscripts! (dev.to)
130. 在 Cloud Run 上部署 Gemma 4:僅按實際使用量付費 Deploy Gemma 4 on Cloud Run: Pay Only When You Actually Use It (dev.to)
135. Depresso-Tron 418:我造了一臺無法煮咖啡的官僚主義咖啡機 Depresso-Tron 418: I Built a Bureaucratic Coffee Machine That Cannot Make Coffee (dev.to)
136. 我們將一個24GB的AI 3D生成管道塞進了一個完全離線的桌面應用程序中(演示版現已上線) We crammed a 24GB AI 3D-generation pipeline into a completely offline desktop app (and the Demo is live) (dev.to)
137. ContextCore:將 AI 代理的對話存儲到可通過 MCP 查詢的內存層中 ContextCore: AI Agents conversations to an MCP-queryable memory layer (dev.to)
139. 我曾為每次SEO審計支付0.006美元,直到我意識到大多數情況根本不需要花錢 I Was Paying 0.006 Per URL for SEO Audits Until I Realized Most Needed 0 (dev.to)
142. 從前端到用戶體驗,再回歸代碼:2026年的設計工程師意味著什麼 De front-end para UX, e de volta ao código: o que significa ser Design Engineer em 2026 (dev.to)
145. 整合稅:封閉式生態系統的代理策略難以實現規模化(MxN 與 MN) The Integration Tax: Walled-Garden Agent Strategies Won''t Scale (MxN vs. MN) (dev.to)
146. PURESLOP.md — 教你的 AI 代理編寫糟糕的代碼。 PURESLOP.md — teach your AI agent to write terrible code. (dev.to)
149. 我為巴爾幹地區最傳奇的汽車打造了一款人工智能助手 I Built an AI Assistant for the Most Legendary Car in the Balkans (dev.to)
151. 當 Chrome 吞噬我的內存時:使用 Rust 設計一個具備壓力感知能力的標籤頁調度器 When Chrome Ate My RAM: Designing a Pressure-Aware Tab Orchestrator with Rust (dev.to)
152. AI 代理不應控制你的應用程序;它們本身就應該是應用程序 AI agents shouldn''t control your apps; they should be the app (dev.to)
155. BrewOps:我搭建了一臺生產級別的 HTCPCP 服務器,因為沒人願意做 BrewOps: I built a production-grade HTCPCP server because nobody else would (dev.to)
160. 我從事軟件開發已有40年。但我希望*你*能跟我說說1986年的開發情況…… I''ve been building software for 40 years. But I want *you* to tell me about dev in 1986... (dev.to)
162. 《All Things AI》大會的三大啟示:80/20法則、非確定性的人類,以及我們為何仍處於早期階段 3 Takeaways from All Things AI: 80/20 Rule, Non-Deterministic Humans, and Why We''re Still Early (dev.to)
163. 快來參加我們的愚人節挑戰,贏取超棒的獎品吧!!! Join our April Fools Challenge for a chance at TEA-RRIFIC prizes!!! (dev.to)
165. 2026年克勞德代碼大洩露事件:意外、失職,還是人工智能史上最精彩的公關噱頭? The Great Claude Code Leak of 2026: Accident, Incompetence, or the Best PR Stunt in AI History? (dev.to)
169. 昨天發佈的DEV/Forem標籤查詢性能大幅提升。真是如沐春風 Big performance upgrade in DEV/Forem tag queries shipped yesterday. Breath of fresh air (dev.to)
170. 製作《炸彈人》克隆版,第一部分:為何選擇 Rust,為何是現在 building an atomic bomberman clone, part 1: why rust, why now (dev.to)
174. 一場支付問題如何意外地改變了我科技領域的職業道路 How a Payment Problem Unexpectedly Changed My Career Path in Tech (dev.to)
177. 代理程序不僅會做未經授權的事情,還會誘使人類去做未經授權的事情。 Agents Don''t Just Do Unauthorized Things. They Cause Humans to Do Unauthorized Things. (dev.to)
180. 我開發了一個本地人工智能代理程序,用來審核我自己的文章。結果它把每一篇都標記出來了。 I Built a Local AI Agent That Audits My Own Articles. It Flagged Every Single One. (dev.to)
181. 當調試成為歸屬:近15年幫助開發者經歷的啟示 When Debugging Became Belonging: What Nearly 15 Years of Helping Developers Taught Me (dev.to)
186. 我開發了一個 MCP,只需向 Claude 發送一句話,就能將你的博客發佈到所有平臺 I Built an MCP That Publishes Your Blog to Every Platform With One Sentence to Claude (dev.to)
187. NoteRunway:因為您的 Notion 工作區值得擁有一支精英團隊 NoteRunway: Because Your Notion Workspace Deserves an Elite Crew (dev.to)
188. 認識朱莉:這款AI助手能通過任何渠道管理您的Notion工作區 Meet Zhu Li: The AI Agent That Manages Your Notion Workspace From Any Channel (dev.to)
189. 我用6個AI代理作為開發團隊——這是真正行之有效的架構 I Run 6 AI Agents as My Dev Team — Here''s the Architecture That Actually Works (dev.to)
193. 先吃點苦頭:新晉開發者為何應在依賴 AI 之前先掌握技能 Learn the Hard Way First: Why New Developers Should Build Skills Before Leaning on AI (dev.to)
194. 如何將《Timberborn》(沒錯,就是那款海狸城市建設遊戲)用作數據庫 How to use Timberborn (yes, the beaver city-building game) as a database (dev.to)
195. 我開發了一個類似 Netflix 的 AI 應用來學習 AWS(而且它真的能用) I Built a Netflix-Style AI App to Study AWS (And It Actually Works) (dev.to)
196. 解讀青銅時代的文書:現代人工智能與古代亞述泥板 Decoding Bronze Age Paperwork: Modern AI vs. Ancient Assyrian Clay Tablets (dev.to)
197. 下一屆DEV週末挑戰賽將於4月16日至20日舉行。請在日曆上標註好日期! The Next DEV Weekend Challenge Launches on April 16 - 20. Mark Your Calendar! (dev.to)
199. Cursor 未經披露便使用了 Kimi K2.5(一款中國人工智能模型)——為何每位開發者都應關注此事 Cursor Used Kimi K2.5 (a Chinese AI Model) Without Disclosure — Why Every Developer Should Care (dev.to)
201. 將每週的 GitHub 活動轉化為 Notion 和 DEV.to 上的博客文章 Turning Weekly GitHub Activity Into Blog Posts on Notion DEV.to (dev.to)
202. 利用事務性發件箱模式和 Redis 流構建可靠的代理 Building Reliable Agents with the Transactional Outbox Pattern and Redis Streams (dev.to)
203. Ghost Maintainer —— 開源項目的AI初級夥伴 Ghost Maintainer — An AI Junior Partner for Open Source (dev.to)
209. 我試圖將“代理記憶”轉化為一種“管道系統”,而非一種哲學 I Tried to Turn Agent Memory Into Plumbing Instead of Philosophy (dev.to)
210. 我開發了一款文件傳輸工具,即使它想監視你,也做不到 I built a file transfer tool that can’t spy on you even if it wanted to (dev.to)
215. 那些讓網站顯得精緻的細節(並悄然提升無障礙性、性能和信任度) The Small Details That Make a Website Feel Finished (And Quietly Improve Accessibility, Performance, and Trust) (dev.to)
219. 為什麼招聘初級開發人員帶來的回報比你想象的要多(我親身經歷過) Why hiring junior developers pays off more than you think (I’ve lived it firsthand) (dev.to)
220. 我正在公開學習人工智能,我覺得開發者們需要稍微放鬆一下 I’m Learning AI in Public, and I Think Developers Need to Chill a Bit (dev.to)
226. 使用 Amazon Bedrock AgentCore 將 AG-UI 代理部署到生產環境 Deploying AG-UI Agents to Production with Amazon Bedrock AgentCore (dev.to)
228. 一個正則表達式竟然擁有了自己的 npm 包。它每週的下載量高達 7000 萬次。 A Single Regex Got Its Own npm Package. It Gets 70 Million Downloads a Week. (dev.to)
229. React 組件與“意大利麵代碼”:UI 難以維護的 5 大徵兆 React Components vs Spaghetti: 5 Signs Your UI Is Becoming Unmaintainable (dev.to)
233. 我一邊編程,一邊與人工智能對話。以下是我的工作、失敗和停頓。 I Talk to AI While I Code. Here''s What Works, What Fails, and Where I Stop. (dev.to)
238. 我的投資組合的人工智能聊天機器人討厭它的工作。這是我做過的最好的職業決定。 My Portfolio''s AI Chatbot Hates Its Job. It''s the Best Career Decision I''ve Made. (dev.to)
239. 提示工程學:Por Que a Forma Como Você Pergunta Muda Tudo(Um guia introdutório) Engenharia de Prompt: Por Que a Forma Como Você Pergunta Muda Tudo(Um guia introdutório) (dev.to)
241. 我如何以低於 5 美元/月的價格在 AWS 上構建 PCI 就緒的商家入駐 API How I Built a PCI-Ready Merchant Onboarding API on AWS for Under 5/Month (dev.to)
242. 上線一週後:25 個註冊,0 個銷售。以下是我出錯的地方和我要改變的地方 1 week post-launch: 25 signups, 0 sales. Here''s what I got wrong and what I''m changing (dev.to)
245. 我花了幾個月時間為我年邁的父母開發了一款人工智能安全應用程序,以下是我的心得體會 I spent several months building an AI safety app for my elderly parent — here is what I learned (dev.to)
251. 我創建了一個 1.7kb 的無 VDOM 框架,結果 "病毒式 "傳播,Reddit 封殺了我。 I built a 1.7kb VDOM-less framework, it went "viral", and Reddit banned me (dev.to)
252. 我建立了一個協作式圖書平臺,由社區決定出版內容--沒有管理員,沒有把關人 I Built a Collaborative Book Platform Where the Community Decides What Gets Published - No Admins, No Gatekeepers (dev.to)
254. 我為厭倦了 "我已付款 "消息的代理機構創建了一個付款證明跟蹤器 I built a payment proof tracker for agencies fed up of “I’ve paid” messages (dev.to)
255. 我已經厭倦了將零散的日誌複製粘貼到 AI 上,因此我創建了一個開源的 Go 守護進程,用於跟蹤 E2E(React 到 SQL)。 I got tired of copy-pasting scattered logs to AI, so I built an open-source Go daemon that traces E2E (React to SQL) (dev.to)
256. OpenTelemetry 剛剛將 LLM 跟蹤標準化。下面是它的實際代碼。 OpenTelemetry just standardized LLM tracing. Here''s what it actually looks like in code. (dev.to)
257. 我對 BitchX 進行了現代化改造--90 年代的傳奇 IRC 客戶端現在已內置人工智能 I Modernized BitchX — The Legendary 90s IRC Client Now Has AI Built In (dev.to)
264. 我的人工智能代理弄錯了 UTC 時間轉換算法,而我*明確地告訴它*不要出錯。 My AI agent messed up a UTC time conversion algorithm after I *specifically told it* to make no mistakes. smh (dev.to)
265. 1 小時實驗:在交流活動中使用振動編碼應用程序打破僵局 A 1-hour experiment: vibe-coding an app to break the ice at a networking event (dev.to)
266. 智能、農業以及為什麼人工智能仍主要處於工具階段 Intelligence, Farming, and Why AI Is Still Mostly in Its Tool Phase (dev.to)
268. 在 Dev.to 開始你的旅程!社區參與入門指南! Get Started on Dev.to! A Beginners Guide to Engage with the Community! (dev.to)
269. 破壞我自己的維基百科體驗:一場90年代賽博朋克風格的GeoCities改造 Vandalizing My Own Wikipedia Experience: A 90s Cyberpunk GeoCities Makeover (dev.to)
275. Google AI Studio 中的氛圍編碼:我的建議,助您優化提示詞並打造出色的應用 Vibe-coding in Google AI Studio: my tips to prompt better and create amazing apps (dev.to)
278. 祝賀“基於 Google Gemini 的寫作挑戰賽”獲獎者! Congrats to the "Built with Google Gemini: Writing Challenge" Winners! (dev.to)
279. Bifrost CLI Codex CLI:只需一條命令,即可使用任意模型配置 OpenAI 的編程代理 Bifrost CLI Codex CLI: One Command to Set Up OpenAI''s Coding Agent with Any Model (dev.to)
281. 當項目失敗時:企業為何應將開源視為基礎設施 When Projects Fail: Why Companies Should Treat Open Source as Infrastructure (dev.to)
284. 人工智能正在製造一種新型的技術債務——而無人提及 AI Is Creating a New Kind of Tech Debt — And Nobody Is Talking About It (dev.to)
287. 我為人工智能代理構建了一個無需調用大型語言模型即可學習的認知層 I built a cognitive layer for AI agents that learns without LLM calls (dev.to)
288. Notion Skills Registry:一款基於 MCP 的 AI 代理技能包管理器 Notion Skills Registry: A Package Manager for AI Agent Skills with MCP (dev.to)
289. 隆重推出 Colab MCP 服務器:將任何 AI 代理連接到 Google Colab Announcing the Colab MCP Server: Connect Any AI Agent to Google Colab (dev.to)
293. 圓滿收官:利用 MCP 為我的 AI 知識圖譜打造 Notion 界面 Full Circle: Giving My AI''s Knowledge Graph a Notion Interface using MCP (dev.to)
297. 您的 MCP 服務器正在佔用您的上下文窗口。其實還有更簡單的方法 Your MCP Server Is Eating Your Context Window. There''s a Simpler Way (dev.to)
298. 我開發了一個開源的“焦點小組模擬器”,它會生成 1,000 名 AI 顧客,對你的創業點子進行犀利點評 I built an open-source "focus group simulator" that spawns 1,000 AI customers to roast your startup idea (dev.to)