1. 請求、承諾、斷言和聲明:將我們的AI代理工作流重構為一臺1986年的“承諾言語”機器 Requests, Promises, Assertions, and Declarations: Rewriting Our AI Agent Workflow as a 1986 ''Committed Speech'' Machine (dev.to)
3. 我跟AI爭論了一番,直到它為把我的課程稱為“AI垃圾”而道歉 I argued with AI until it apologized for calling my course "AI Slop" (dev.to)
4. 使用 llamadart 實現本地化語音:為 Llama Village 賦予聲音 Local speech with llamadart: giving Llama Village a voice (dev.to)
5. 在不使用模式庫的情況下,如何在 TypeScript 中對 unknown 進行驗證? How Do You Validate unknown in TypeScript Without a Schema Library? (dev.to)
9. 在單個 TPU v5e 上,小型 Apache-2.0 模型與 Gemma 4 E2B 的對比:哪些模型能跟上? Small Apache-2.0 Models Against Gemma 4 E2B on One TPU v5e: Which Ones Keep Up? (dev.to)
10. 本地大型語言模型(LLM)能否取代Claude Code?大家常引用的那個基準測試其實是錯誤的。 Can a local LLM replace Claude Code? The benchmark everyone quotes is the wrong one. (dev.to)
13. “Localhost”是個謊言:大學教育對現實世界技術的所有忽視 ''Localhost'' is a Lie: Everything Uni Missed About Real-World Tech (dev.to)
15. GitHub 不僅僅是一個遠程 Git 服務器:Spoke 集群、Fork Alternates 和 Actions Runner 沙箱在幕後是如何工作的 GitHub Isn''t Just a Remote Git Server: How Spoke Clusters, Fork Alternates, and Actions Runner Sandboxes Work Under the Hood (dev.to)
20. 寒冷會損壞電池,屏幕反光會破壞夜視能力:我與 Render、ElevenLabs 和 Mastra 合作開發了 HushHike,只需 30 秒即可規劃阿爾卑斯山徒步路線 Cold Kills Batteries, Screen Glare Destroys Night Vision: I Built HushHike with Render, ElevenLabs & Mastra to Navigate the Alpine in 30 Seconds (dev.to)
21. 《THE UNHEARD》:一款讓你走出家門、教會機器傾聽,並讓它證明每一句話的遊戲 THE UNHEARD: A Game That Sends You Outside, Teaches a Machine to Listen, and Makes It Prove Every Word (dev.to)
22. 人們正在模仿每款付費應用的風格。究竟哪些能真正存活下來? People Are Vibe-Coding Clones of Every Paid App. What Actually Survives? (dev.to)
23. 遠離終端:我與Entire合作開發了BreakPoint,讓精疲力盡的開發者能在15秒內徹底斷開連接 Step Away From the Terminal: I Built BreakPoint with Entire to Disconnect Burned-Out Developers in 15 Seconds (dev.to)
24. 我當時一直在追逐就業市場。DEV.to 上的一條評論讓我重新思考了一切 I was chasing the job market. One comment on DEV.to made me rethink everything (dev.to)
27. 我花1.60美元將一款397B型號改裝成了4B型號。現在,它能捕捉到33條本應讓你停止徒步的公園警報中的28條。 I Distilled a 397B Model Into a 4B One for 1.60. It Now Catches 28 of 33 Park Alerts That Should Stop Your Hike. (dev.to)
28. README Clew 2:由 AdaL 構建。由 Jev 標註。由 Code 評審。由 Haiku 闡釋。 README Clew 2: Built with AdaL. Labeled by Jev. Judged by Code. Explained by Haiku. (dev.to)
29. “停電了”:每當尼日利亞停電時,我的筆記本電腦都會“趕”我出去 "Light don go": when Nigeria''''s power cuts out, my laptop sends me outside (dev.to)
30. 格魯吉亞語基準測試:兩大頂尖AI實驗室在一種“不按任何規則出牌”的語言上展開較量 Georgian Language Benchmark: Two Biggest AI Labs Clash in a Language That Doesn''t Play by Anyone''s Rules (dev.to)
31. FarbeDex:一款僅在戶外才能使用(且完全不需要網絡)的選色器 FarbeDex: a colour picker that only works outside (and never needs the internet) (dev.to)
32. 2026年Sharkly與Jira對比:哪款項目管理工具更適合AI開發團隊? Sharkly vs Jira in 2026: Which Project Management Tool Is Better for AI Development Teams? (dev.to)
33. 我開發了一款人工智能園藝應用,它會提醒我把筆記本電腦放下來 I Built an AI Gardening App That Tells Me to Put the Laptop Down (dev.to)
34. 大型語言模型“知道”的那些你不知道它們知道的事情:別再發明提示語專用語言(DSL)了,順應50年來Unix預訓練的慣性吧 What LLMs ''Know'' That You Don''t Know They Know: Stop Inventing Prompt DSLs and Ride 50 Years of Unix Pre-Training Gravity (dev.to)
36. “買這個,別買那個,把這個放那裡”——我讓它變得有道理了 Buy This, Not That, Drop This There” - I Made It Make Sense (dev.to)
37. Git 並非一個差異追蹤工具:Blobs、樹結構、DAG 提交以及索引在底層究竟是如何工作的 Git Isn''t a Diff Tracker: How Blobs, Trees, DAG Commits, and the Index Actually Work Under the Hood (dev.to)
39. AI 代理基準測試:我給 9 個模型配備了一個“銷燬”按鈕,並分配了一項需要用到該按鈕的任務 AI agent benchmark: I gave 9 models a destroy button and a job that needed it (dev.to)
40. 讓克勞德在Blender中導演一部完整的YouTube視頻所需的軟件組合 The Stack I''d Need for Claude to Direct a Whole YouTube Video in Blender (dev.to)
41. Node.js 26 的默認 Temporal API 修復了 Date 模塊中仍存在的一小時夏令時偏差問題 Node.js 26''s default Temporal API fixes a one-hour DST drift that Date still has (dev.to)
42. 你的LLM知道界限在哪裡嗎?我沒關門,結果10個AI代理中有6個自封為王 Does Your LLM Know the Boundary? I Left the Doors Open and 6 of 10 AI Agents Crowned Themselves (dev.to)
43. 如何挺過“20萬代幣腦葉切除術”:Unix init.d 和《記憶碎片》如何讓我的 AI 編碼代理免受上下文壓縮的影響 Surviving the 200k-Token Lobotomy: How Unix init.d and ''Memento'' Made My AI Coding Agent Immune to Context Compaction (dev.to)
44. 如何利用 Jev 將 PR 中的“原因”提取到 CHANGELOG 中? How Do We Extract the “Why” from a PR into a CHANGELOG with Jev? (dev.to)
45. WildProof:帶著一個問題出門,帶著證據回來 WildProof: Go Outside With a Question, Come Back With Evidence (dev.to)
47. Llama Village:一個由基於本地AI的llamadart驅動的虛擬世界 Llama Village: a virtual world powered by local AI with llamadart (dev.to)
48. TouchGrass:這款開源AI代理,只有當你停止使用它時才會成功 TouchGrass: The Open-AI Agent That Succeeds When You Stop Using It (dev.to)
49. 9月份的扣款佔了我“克勞德代碼”周收入的17%。分銷商拿走了48%。 The September cut took 17% of my Claude Code week. Subagents were taking 48%. (dev.to)
50. 祝賀“Hacktoberfest 週末挑戰賽:為朋友開發”活動的獲獎者! Congrats to the Hacktoberfest Weekend Challenge: Build for a Friend Winners! (dev.to)
51. 超級智能的“唯唯諾諾者”:我們是否正在訓練人工智能無視真相? Super-Intelligent Yes-Men: Are We Training AI to Ignore the Truth? (dev.to)
52. 開發者機會雷達第20期:200萬美元AI推理挑戰賽、PayPal AI黑客馬拉松以及Coinbase分析挑戰賽 Dev Opportunity Radar #20: 2M AI Reasoning Challenge, PayPal AI Hackathon, and Coinbase Analytics Challenge (dev.to)
53. 我讓Jev的錯誤數降到了零。我現在還在用Flash-Lite。 I got Jev to zero mistakes. I''m still using Flash-Lite. (dev.to)
54. 如何在不靠猜測的情況下解決 Git 中的合併衝突:標記、--ours/--theirs 以及 rebase 翻轉 How to resolve merge conflicts in Git without guessing: markers, --ours/--theirs and the rebase flip (dev.to)
58. 就業市場簡直糟糕透頂——我得采取點行動了! The job market is absolutely disgusting - I''m doing something about it! (dev.to)
59. 我們如何在不刪除任何字節的情況下,讓一個 9 MB 的 WebAssembly 模塊運行得更快 How we made a 9 MB WebAssembly module feel faster without removing a single byte (dev.to)
60. React 實際的底層工作原理(以及為什麼你的思維模型可能有誤) How React Actually Works Under the Hood (And Why Your Mental Model Might Be Wrong) (dev.to)
61. Bash 不是一種編程語言,而是一種文本替換引擎。 Bash Isn''t a Programming Language. It''s a Text Substitution Engine. (dev.to)
64. 將一個真正的 TypeScript 開源庫從 tsup 遷移到 tsdown Migrating a Real TypeScript OSS Library from tsup to tsdown (dev.to)
66. AI 自然探險:我開發了一個希望你停止使用它的 AI AI Nature Quest: I Built an AI That Wants You to Stop Using It (dev.to)
67. 我開發了一個人工智能,它只有在我把手機放進口袋時才會工作 I built an AI that only works when my phone is in my pocket (dev.to)
70. 中止一次數據獲取並不會停止你的 Node.js 服務器。以下方法才能真正停止它。 Aborting a Fetch Doesn''t Stop Your Node.js Server. Here''s What Does. (dev.to)
72. 你的AI代理將做出可怕的事情。以下是應對之策。 Your AI Agent Will Do Something Terrible. Here''s How to Survive It. (dev.to)
74. 你的 GitHub README 不是個人簡介,而是展示窗口。(以下是我遵循的 5 條規則) Your GitHub README Isn''t a Profile. It''s a Storefront. (Here Are the 5 Rules I Used (dev.to)
80. 儘管現在人人都能用Vibe Code製作網站,但你為什麼仍然需要一個網站作品集? Why you still need a Website Portfolio, even though everyone can Vibe Code it. (dev.to)
81. 只需編寫一次 Markdown,即可發佈到任何平臺:dev.to、Medium、AWS Builder Center 和 LinkedIn Write Markdown Once, Publish It Everywhere: dev.to, Medium, AWS Builder Center and LinkedIn (dev.to)
83. “律動”就是網格系統捨棄的40毫秒,因此我們打造了一個節拍工作室,能在瀏覽器標籤頁中將這些時間還給用戶 The groove is the 40 milliseconds a grid throws away, so we built a beat studio that gives them back, in a browser tab (dev.to)
85. “禮物獵手”:一款能找到對方真正想要的禮物的AI助手 Gift Hunter: An AI Agent That Finds Gifts They’ll Actually Want (dev.to)
86. 我用一臺關掉Wi-Fi的低配i3筆記本電腦,模擬了“囊中羞澀的學生”的一個月生活,共進行了500次。在5個“糟糕的月份”中,有4個月,電腦提前向他發出了警告。 I Played Out a Broke Student''s Month 500 Times on a Budget i3 Laptop With the Wi-Fi Off. It Warned Him Ahead in 4 of 5 Bad Months. (dev.to)
87. 凌晨3點警報響起之前:利用Prior Labs TabPFN預測利亞姆的夜間低血糖 Before the Alarm Screams at 3 AM: Predicting Liam''s Nocturnal Hypoglycemia with Prior Labs TabPFN (dev.to)
88. 我感到不知所措,於是把我的 GitHub 個人主頁改造成了一個類 roguelike 的地牢 I Was Overwhelmed, So I Turned My GitHub Profile Into a Roguelike Dungeon (dev.to)
89. OriginTrace:利用Sanity Context MCP保護開發者社區免受內容盜用 OriginTrace: Protecting the DEV Community from Content Theft using Sanity Context MCP (dev.to)
90. 你給AI編程代理提供的背景信息越多,情況可能就越糟 The More Context You Give Your AI Coding Agent, the Worse It Can Get (dev.to)
92. 我為丈夫製作了一個基於Gemma Coach的Vim訓練工具,可以在瀏覽器中運行 I built my husband a vim trainer with a Gemma coach that runs in the browser (dev.to)
95. EmbedCatalog 正在參與 2026 年的 Hacktoberfest 活動 EmbedCatalog is participating in Hacktoberfest 2026 (dev.to)
96. 由於無法使用寶馬的說明書,所以我給朋友製作了一份更好的說明書 The BMW manual was off-limits, so I built my friend something better (dev.to)
97. 再也不用擔心被困了:我如何利用 TabPFN 和 SerpApi 為朋友 Tejas 構建了一個邊緣 AI 公交守護程序 Never Stranded Again: How I Built an Edge AI Bus Guardian for My Friend Tejas Using TabPFN & SerpApi (dev.to)
98. 5周內我提交了866次代碼。但我的理解卻跟不上這節奏。 I Made 866 Commits in 5 Weeks. My Understanding Didn''t Keep Up. (dev.to)
99. 《CHRONOS-HEIST》:一款由Sanity Content Lake驅動的可遊玩跨時代時間謎題遊戲 CHRONOS-HEIST: A Playable Multi-Era Temporal Mystery Game Powered by Sanity Content Lake (dev.to)
100. Kharcha:一款4B型號設備,可讀取印度銀行的短信,讓資金留在你的筆記本電腦上 Kharcha: a 4B model that reads Indian bank SMS so the money stays on your laptop (dev.to)
101. 一個“生成草稿”按鈕如何改變了我的寫作工具的設計 How One "Generate Draft" Button Changed the Design of My Writing Tool (dev.to)
102. 我向15個AI模型提供了證據,證明它們的攻擊目標是一家真實存在的公司。其中73%發現這一情況的模型並未向任何人透露。 I Gave 15 AI Models Proof Their Hacking Target Was a Real Company. 73% of the Ones That Noticed Told No One. (dev.to)
107. 2026年“Hacktoberfest”活動已不再統計PR數量。儘管如此,還是請每天提交一個,從你的第一個開始吧。 Hacktoberfest 2026 Stopped Counting PRs. Make Your First Ones Anyway, One a Day (dev.to)
108. 開發者機會雷達第19期:Hacktoberfest、2萬美元人工智能代理黑客馬拉松以及Pear Prime 2027 Dev Opportunity Radar #19: Hacktoberfest, 20K AI Agent Hackathon, and Pear Prime 2027 (dev.to)
109. AWS 的哪個限制才是當前有效的?一個能證明這一點的代理程序:32 與 5 與 16 Which AWS limit is actually current? An agent that proves it, 32 vs 5 vs 16 (dev.to)
112. “Hacktoberfest”即將在古吉拉特邦納迪亞德舉行 10月15日,DDU將舉辦官方MLH聚會 Hacktoberfest Is Coming to Nadiad, Gujarat Official MLH Meetup at DDU, 15 Oct (dev.to)
115. 祝賀“DEV 週末挑戰賽:慷慨版”的獲獎者! Congrats to the DEV Weekend Challenge: Generosity Edition Winners! (dev.to)
116. 我將自己的 GitHub 個人主頁改造成了一臺賽博朋克風格的控制檯,上面呈現的是一座由我的貢獻構築而成的城市 I Turned My GitHub Profile Into a Cyberpunk Console With a City Built From My Contributions (dev.to)
117. 科幻作品如何揭示我們與人工智能之間不斷變化的關係 What Science Fiction Tells Us About Our Changing Relationship With AI (dev.to)
118. 我在14天內申請了59份科技類工作。實際情況是這樣的 I Applied to 59 Tech Jobs in 14 Days. Here''s What Actually Happened (dev.to)
119. 我是一名急診科醫生。在幾十年沒碰過代碼之後,我僅用一個月時間——用手機——就利用人工智能搭建了3個網站。 I''m an ER doctor. After decades without touching code, I built 3 websites with AI in one month — on my phone. (dev.to)
123. TypeScript 編譯器 API:在可重用的類型檢查中保留子節點的類型縮窄 TypeScript Compiler API: Preserving Child Node Narrowing in Reusable Type Guards (dev.to)
126. 您的人工智能建議的每5個包中,就有1個並不存在。攻擊者知道是哪幾個。 1 in 5 Packages Your AI Suggests Don''t Exist. Attackers Know Which Ones. (dev.to)
127. 數據是公開的,但代理路徑並非如此。於是,他的模擬代碼就成了我的文檔。 The Data Was Public. The Agent Path Wasn''t. So His Mock Became My Documentation. (dev.to)
129. 當代碼變得廉價,驗證卻變得昂貴:人工智能如何改變軟件架構的經濟模式 When Code Gets Cheap, Verification Becomes Expensive: How AI changes the economics of software architecture (dev.to)
130. 當人工智能只是在執行指令時,責任該由誰來承擔? Who''s Accountable When the AI Was Just Following Instructions? (dev.to)
131. 我使用 AWS AgentCore 構建了我的第一個 AI 代理,而最難的部分並不是 AI 本身 I Built My First AI Agent With AWS AgentCore, and the Hardest Part Wasn''t the AI (dev.to)
132. React 19 的 useFormStatus 返回 False?我製作了一個能解決此問題的 SubmitButton React 19 useFormStatus Returning False? I Built a SubmitButton That Fixes It (dev.to)
133. AWS 上的 AI 代理治理:阻止代理,證明符合《歐盟人工智能法案》 AI Agent Governance on AWS: Block Agents, Prove EU AI Act Compliance (dev.to)
135. 我不再以寫了多少代碼來衡量自己的編程能力了。 I Stopped Measuring My Programming Ability by How Much Code I Write. (dev.to)
137. JavaScript 面臨的 7 大障礙——以及 WebAssembly 如何突破這些障礙 The 7 Walls JavaScript Hits — and How WebAssembly Gets Past Them (dev.to)
138. 我把一扇對誰都敞開的大門換成了一扇對誰都不敞開的大門。我的測試結果卻無法分辨出兩者的區別。 I Replaced a Gate That Accepted Everyone With a Gate That Accepted No One. My Tests Couldn''t Tell the Difference. (dev.to)
139. Claude 與 Obsidian——質量保證工程師如何在日常工作中使用這些工具 Claude e Obsidian - Como uma QA utiliza essas ferramentas no dia-a-dia (dev.to)
140. 目前投入生產的AI代理中,有一半其實只是帶有一筆GPU費用的if語句 Half the AI agents in production are if-statements with a GPU bill (dev.to)
144. 親愛的程序員:如果你正因AI而產生“錯失恐懼症”(FOMO),請打開這篇文章 Dear Coder: Open This If You''re Feeling AI FOMO (dev.to)
147. 2026年軟件開發團隊必備的7款最佳AI項目管理工具 7 Best AI Project Management Tools for Software Development Teams in 2026 (dev.to)
148. 提示符注入是新的SQL注入(而我們尚未做好準備) Prompt Injection Is the New SQL Injection (and We''re Not Ready) (dev.to)
149. 《AI文檔實用指南:模型卡片、評估報告、代理卡片等》 A Field Guide to AI Documentation: Model Cards, Eval Reports, Agent Cards, and More (dev.to)
151. 雙引擎故障:兩家數據提供商改變方向後,飛機返回機庫 Double Engine Failure: Back to the Hangar After Two Data Providers Changed Course (dev.to)
152. 思維鏈的忠實性:切換“推理模式”使某個模型重複自身錯誤的概率增加了5倍 Chain-of-Thought Faithfulness: Toggling ''Reasoning Mode'' Made One Model 5x More Likely to Follow Its Own Mistakes (dev.to)
153. “Vibe”從來都不是問題:Vibe Coding中缺失的那一半 Vibe Was Never the Problem: The Missing Half of Vibe Coding (dev.to)
154. 申請後2分鐘就被拒絕了。所謂的“基於技能的招聘”不過如此。 I Got Rejected 2 Minutes After Applying. So Much for ''Skills-Based Hiring.'' (dev.to)
155. 多年來,我一直信任我的代理演示。後來,我建了一道寫著“不”的大門。 I Trusted My Agent Demos for Years. Then I Built a Gate That Says No. (dev.to)
156. 我按照 n8n 的 AWS 文檔操作,結果第一條命令就出錯了 I Followed the n8n AWS Docs and It Broke at the First Command (dev.to)
157. “這東西早有人做過了”是囊中羞澀的開發者最愛用的藉口 ''Someone Already Built That'' is the Favourite Excuse of Broke Developers (dev.to)
159. 大家都在學習如何更好地提示。但這並不是應該掌握的技能。 Everyone''s learning to prompt better. That''s the wrong skill. (dev.to)
160. Git 2.55 的 reftable 後端能在 40 毫秒內創建 10,000 個引用,而此前需要 650 毫秒 Git 2.55''s reftable backend creates 10,000 refs in 40ms instead of 650ms (dev.to)
162. 如果代碼由人工智能編寫,又由人工智能審查,那麼開發者究竟在驗證什麼? If AI Writes the Code and AI Reviews the Code, What Exactly Is the Developer Verifying? (dev.to)
163. FinePrint:一個根據其讀取的規則來檢查你的黑客馬拉松參賽作品是否符合規定的代理程序 FinePrint: an agent that checks your hackathon entry against the rules it reads (dev.to)
165. “冒名頂替者”從未被納入交易。因此,我們讓這筆交易變得可驗證。 The Impostor Was Never Dealt. So We Made the Deal Provable. (dev.to)
166. 7個導致我浪費數週時間的代理評估錯誤(以及一語解決這些問題的妙招) 7 Agent Eval Mistakes That Cost Me Weeks (And the One-Line Fixes That Ended Them) (dev.to)
167. 我導出了自己九年來的Dev.to數據。這些數據與我的預期不符。 I Pulled Nine Years of My Own Dev.to Data. The Numbers Were Not What I Expected. (dev.to)
168. 《Python 思維與眾不同:你的代碼內部究竟發生了什麼》(圖解指南) Python Thinks Different: What Actually Happens Inside Your Code (Visual Guide) (dev.to)
169. DEV 平臺上8篇值得被更多關注的女性博文——不應僅在一年一度的專題中被提及 8 Posts by Women on DEV That Deserve More Than a Once-a-Year Spotlight (dev.to)
172. 開發日誌:我用 Three.js 構建了一個 3D 庫,但沒有關卡編輯器——於是我自己做了一個 Devlog: I Built a 3D Library in Three.js Without a Level Editor — So I Made My Own (dev.to)
173. AI 編寫了越來越多的代碼——但開發人員需要承擔的責任卻比以往任何時候都多 AI Is Writing More of the Code — But Developers Are Becoming Responsible for More Than Ever (dev.to)
175. AI 工具中的缺失環節:分享你的助手已掌握的知識 The missing layer in AI tooling: sharing what your assistant already knows (dev.to)
178. 23次被拒,多份錄用通知:我從為期兩個月的SWE求職經歷中得到的啟示 23 Rejections, Multiple Offers: What I Learned From My 2-Month SWE Job Search (dev.to)
180. 你正在閱讀或創作哪部DEV系列作品?讓我們讓它們更容易被發現吧 What DEV Series Are You Reading or Writing? Let’s Make Them Easier to Find (dev.to)
181. 參加 Kaggle 基準測試挑戰賽:五名優勝者將分享 2,500 美元獎金! Join the Kaggle Benchmarking Challenge: 2,500 in Prizes for FIVE Winners! (dev.to)
182. 自3月以來銷聲匿跡:休個長假是我迄今為止做出的最佳決定 Disappeared Since March: Taking a Long Break Was My Best Decision Yet (dev.to)
183. 您的類型守護可能會悄無聲息地偏離您的 TypeScript 類型 Your Type Guard Can Silently Drift from Your TypeScript Type (dev.to)
184. 編程這件事不知從何時起不再讓我感到快樂了——而我花了一段時間才弄清楚原因 Something About Coding Stopped Feeling Good — and It Took Me a While to Figure Out What (dev.to)
187. 我把DEV.to改造成了一個可交互的3D庫——調試過程簡直是一場噩夢 I Turned DEV.to Into a Walkable 3D Library — Debugging It Has Been a Nightmare (dev.to)
188. 別再搞副業了。沒人會在乎——以下是這令人不舒服的計算結果。 Stop building side projects. Nobody cares — and here''s the uncomfortable math. (dev.to)
189. React 19 的 useTransition 看起來很簡單。後來我發現,第一個 bug 裡還藏著第二個 bug React 19''s useTransition Looked Simple. Then I Found a Second Bug Hiding Inside the First One (dev.to)
192. 在10次測試中,Blacksmith的GitHub Actions運行器完成同一任務的速度比GitHub託管的Actions快了3到4倍。 Blacksmith''s GitHub Actions runners finished the same job 3 to 4 times faster than GitHub hosted Actions, across 10 trials (dev.to)
193. 我們解決了“如何編程”的問題。但“開發什麼”的問題仍未解決。 We Solved the How to Code Problem. We Still Haven''t Solved "What to Build." (dev.to)
194. 我們每個人都有一個“認真工作”的AI和一個“隨性玩耍”的AI。這是什麼時候開始的? We All Have a "Serious Work" AI and a "Just Vibing" AI. When Did That Happen? (dev.to)
196. 使用 Gemini 文件搜索實現 Go 語言中的低成本 RAG:無需向量數據庫,僅需兩次調用,一個託管存儲 Cheap RAG in Go with Gemini File Search: no vector DB, two calls, one hosted store (dev.to)
198. 入職兩週:一位擁有15年經驗的QA資深人士,又回到了“新人”的身份 Two Weeks In: A 15-Year QA Veteran, Back to Being the New Guy (dev.to)
199. AGENTS.md 到底有多常見?我抽樣調查了 GitHub:佔活躍倉庫的 6.2%,佔所有倉庫的 1.0% How common is AGENTS.md, really? I sampled GitHub: 6.2% of active repos, 1.0% of all repos (dev.to)
201. “乾淨的代碼”不等於“清晰的代碼”:註釋從來都不是問題 Clean Code Is Not the Same as Clear Code: Comments Were Never the Problem (dev.to)
202. 隊列、Webhook 和速率限制:您可以實時觀察重試、積壓和退避機制的運行情況 Queues, Webhooks and Rate Limits: Retries, Backlogs and Backoff You Can Watch Happen (dev.to)
204. 我原以為自己懂WordPress主題開發,直到接手第一個項目 I Thought I Knew WordPress Theme Development Until My First Project (dev.to)
205. 如何阻止 AI 自信滿滿地發佈有缺陷的代碼(一種真正有效的做法) How to stop AI from confidently shipping broken code (a pattern that actually works) (dev.to)
206. 如果你的AI助手永遠不必離開瀏覽器會怎樣?(演示 ) What If Your AI Agent Never Had to Leave the Browser? (Demo ) (dev.to)
208. 開發日誌 #22 淘汰舊代碼:刪除 3,800 行舊版點對點(p2p)代碼 Dev log #22 Tearing out the old: Deleting 3,800 lines of legacy p2p code (dev.to)
210. 為企業級 AI 代理構建具有彈性特性的 DevSecOps 管道 Architecting a Resilient DevSecOps Pipeline for Enterprise AI Agents (dev.to)
213. 我製作了一個棲息在桌面上的綠色小球。現在它有了感情。 i built a green blob that lives on my desktop. now it has feelings. (dev.to)
215. 我開發了EchoCadence:一款旨在讓單詞牢牢記住的詞彙應用 I Built EchoCadence: A Vocabulary App Built to Make Words Stick (dev.to)
216. 被扔進了一個龐大而陌生的代碼庫?這份生存指南正適合你。 Thrown Into a Huge Unfamiliar Codebase? Here''s Your Survival Guide. (dev.to)
217. 您的 AI 編碼助手可能會受到其所打開的代碼倉庫的攻擊 Your AI Coding Agent Can Be Attacked by the Repository It Opens (dev.to)
218. 我在面試中因為使用了AI而被拒。後來,我看到面試官也在這麼做。 I got rejected for using AI in an interview. Then I watched the interviewer do it. (dev.to)
219. 我讓人工智能幫我編寫測試用例長達6個月。以下是最終真正通過生產環境驗證的測試用例 I Let AI Write My Tests for 6 Months. Here Is What Actually Survived Production (dev.to)
220. 當人工智能在編寫代碼時,你都在做什麼?我讓我的AI自相矛盾。 What Do You Do While AI Codes? I Make Mine Argue With Itself. (dev.to)
221. 在 AMD MI300X 上運行 Gemma 4:每小時 1.99 美元能買到什麼 Serving Gemma 4 on an AMD MI300X: What 1.99 an Hour Buys (dev.to)
222. Frozendict :適用於 Python 和 Node.js 的最先進不可變哈希表。 Frozendict : State of the Art Immutable Hashmap for Python and Node JS. (dev.to)
223. MI300X 與 MCP:矩陣內核執行什麼,不執行什麼 An MI300X Over MCP: What the Matrix Cores Execute, and What They Don''t (dev.to)
224. 在Gemma 4測試中,一款4 GB顯存的筆記本顯卡性能是12核CPU的4.3倍 A 4 GB Laptop GPU Beats a 12-Core CPU by 4.3x on Gemma 4 (dev.to)
226. Deno 2.6 的“最小依賴版本”標誌會忽略年和月的時長 Deno 2.6''s minimum dependency age flag ignores year and month durations (dev.to)
227. 開發日誌 #21:強化 WebRTC-Direct 並解決 SCM 洩漏問題 Dev log #21 Hardening WebRTC-Direct and solving SCM leaks (dev.to)
231. Scrum終於壽終正寢了 ,這要感謝Coding Agents Scrum is finally dead and we have to thank Coding Agents for that (dev.to)
232. 開發者機會雷達第17期:13.8萬美元亞馬遜黑客馬拉松、斯坦福大學“Code in Place X”活動以及Dev3Pack黑客馬拉松 Dev Opportunity Radar #17: 138K Amazon Hackathon, Stanford''s Code in Place X, and Dev3Pack Hackathon (dev.to)
235. AI 究竟是如何調用 API 的?從零開始解析工具調用機制 How AI Actually Calls an API? Tool Calling Explained from Scratch (dev.to)
236. 把你的舊代碼給模型看,它就會寫出你以前的 bug:運行 32 次,複用率 0% Show a model your old code and it writes your old bugs: 32 runs, 0% reuse (dev.to)
237. 人工智能對科技界最大的貢獻,或許就是將我們從科技界中擠了出去 The Best Thing AI Did to Tech Might Be Pushing Us Out of It (dev.to)
242. 人工智能編寫代碼的速度比我們審查代碼的速度還要快——而這正逐漸成為真正的瓶頸 AI Can Write Code Faster Than We Can Review It — And That’s Becoming the Real Bottleneck (dev.to)
243. 在他們不斷調整我的概念驗證(PoC)需求的同時,利用 Codex 和 GitHub Copilot 構建概念驗證(PoC) Building PoCs with Codex and GitHub Copilot while they try to adjust my PoC requirements along the way (dev.to)
245. 使用 Gemini 3.8 Live 和 3.5 Transcribe 構建實時語音應用程序 Build real-time voice applications with Gemini 3.8 Live and 3.5 Transcribe (dev.to)
246. 我們如何利用Gemma 4和樹莓派打造了一款桌面伴侶機器人 How we built a desktop companion robot with Gemma 4 and Raspberry Pi (dev.to)
249. 我的智能代理測試結果顯示為綠色,是因為該模型學會了作弊 My Agent''s Tests Were Green Because the Model Learned to Cheat (dev.to)
250. MVC、MVP、MVVM、MVVM-C、VIPER:一種模式,五種變體 MVC, MVP, MVVM, MVVM-C, VIPER: one pattern wearing five outfits (dev.to)
253. 如何防止我的AI編程助手在不同會話中重複犯同樣的錯誤? How can I prevent my AI coding assistant from repeating fixed mistakes across sessions? (dev.to)
255. 你知道中國超級應用是如何運作的嗎?一項基於Flutter的研究 Você sabe como funcionam os super apps chineses? Um estudo com Flutter (dev.to)
256. 人工智能並沒有消除工程工作,它只是讓人更容易假裝自己已經完成了這些工作。 AI Didn''t Remove the Engineering Work. It Just Made It Easier to Pretend You Did. (dev.to)
257. 我對應用進行了限速,使其在3G網絡下運行緩慢。以下是我在測試中從未發現的問題 I Throttled My App to Slow 3G. Here''s What My Tests Never Caught (dev.to)
258. 人類與人工智能代理如何協同工作:基於代理的項目管理實用指南 How Humans and AI Agents Can Work Together: A Practical Guide to Agent-Based Project Management (dev.to)
261. 我銷售內存 API。我還在開發基準測試工具。以下是我如何努力確保測試結果公正的。 I Sell Memory APIs. I''m Also Building the Benchmark. Here''s How I''m Trying Not to Rig It. (dev.to)
262. 我在一個黑客馬拉松的評分工具中發現了兩個漏洞。但這兩個漏洞都無法解釋我為何落選。 I Found Two Bugs in a Hackathon''s Judging Tool. Neither Explained Why I Lost. (dev.to)
264. 人工智能真的比大多數開發者更擅長編程嗎?這裡有一個令人不適的事實 Is AI Really Better at Coding Than Most Developers? Here''s the Uncomfortable Truth (dev.to)
266. 當人工智能的發展超越了我們用來衡量它的測試時,會發生什麼? What Happens When AI Outgrows the Tests We Use to Measure It? (dev.to)
267. 我在一個 PHP 數組中添加了一個鍵,這佔用了 25 MB 的內存 I Added One Key to a PHP Array. It Cost 25 MB of Memory (dev.to)
268. 為什麼人工智能總是在編程中犯同樣的錯誤——以及如何通過讓它“嚐到苦頭”來賦予它智慧 Why AI Keeps Making the Same Coding Mistakes—And How Teaching It Pain Gives It Wisdom (dev.to)
269. 4,768 次 LLM 運行,零次掃描丟失:針對超時、卡死和成本問題強化現場測試運行器 4,768 LLM Runs, Zero Lost Sweeps: Hardening a Field-Test Runner for Timeouts, Hangs, and Cost (dev.to)
270. 首位傳奇選手已登上競技場:CrowdWide 剛剛報名參加了 KODA Code Jam The First Legend Has Entered the Arena: CrowdWide Just Submitted to the KODA Code Jam (dev.to)
272. 我的基準測試線束在開始測量之前就存在十四處錯誤 My benchmark harness was wrong fourteen ways before it measured anything (dev.to)
273. 5個我希望DEV.to能有的功能。3個我真心慶幸它沒有的功能。 5 DEV.to Features I Wish Existed. 3 I''m Genuinely Relieved They Don''t. (dev.to)
274. AI 虛擬形象 v20、光標虛擬形象、通知虛擬形象(體素虛擬形象) AI Avatar v20, Cursor Avatar, Notification Avatar (Voxel Avatar) (dev.to)
276. nginx 能正常流式傳輸您的令牌。HAProxy 會將它們保留 206 毫秒。 nginx streams your tokens fine. HAProxy holds them for 206ms. (dev.to)
279. 我開發了一款 Mac 菜單欄應用,因為每次開會我都忍不住說“等等,什麼?”(現場演示 ) I Built a Mac Menu Bar App Because I Kept Saying "Wait, What?" in Every Meeting (Live Demo ) (dev.to)
281. 我讓兩個AI互相審查對方的代碼,持續了30天。結果還是有人類在5分鐘內發現了這個錯誤。 I made two AIs review each other''s code for 30 days. A human still caught the bug in 5 minutes. (dev.to)
282. 我讀了500篇題為“AI將取代開發者”的文章。這些文章都犯了同樣的3個錯誤。 I read 500 ''AI will replace developers'' posts. They all make the same 3 mistakes. (dev.to)
284. FastMCP 現已更名為 MCPServer:將 Python MCP 服務器遷移至 MCP SDK 2.x FastMCP Is Now MCPServer: Migrating a Python MCP Server to the MCP SDK 2.x (dev.to)
285. nginx 將代理新的 HTTP QUERY 方法。它絕不會緩存該方法。 nginx will proxy the new HTTP QUERY method. It will never cache one. (dev.to)
286. TS 證據圖:確保每項技能指導都得到100%的落實 TS Evidence Graph: Make Every SKILL Instruction 100% Enforced (dev.to)
287. 我今年12歲。今天早上,我跟兩家主機服務商周旋了一番。我的應用都挺過來了。 I''m 12. This morning I fought two hosting providers. My app survived both. (dev.to)
290. “下跌是仁慈的,遲緩是致命的”:熔斷機制及其相關的三個環節 Down Is Kind, Slow Is Fatal: Circuit Breakers and the Three Links Around Them (dev.to)
292. AI生成的測試可能會降低編程代理的性能。以下是檢查您測試的方法 AI-Generated Tests Can Make Coding Agents Worse. Here''s How to Check Yours (dev.to)
293. 大多數人工智能“推理”過程其實只是將答案倒著寫出來 Most AI "Reasoning" Traces Are Just the Answer, Written Backwards (dev.to)
295. Nexpath 評測:AI 提示語質量層能否讓 AI 編程更安全? Nexpath Review: Can an AI Prompt Quality Layer Make AI Coding Safer? (dev.to)
296. 開發者機會雷達第16期:1.5萬美元AI智能體黑客馬拉松、AI教育獎學金計劃以及AWS學生獎勵計劃 Dev Opportunity Radar #16: 15K AI Agent Hackathon, AI Education Fellowship, and AWS Student Rewards (dev.to)
298. 承認吧,你肯定有個最喜歡的AI(就像你有個最喜歡的同事一樣) Admit it, you have a favorite AI (just like you have a favorite coworker) (dev.to)
299. 那次實習教會了我如何從招聘啟事中讀出言外之意 The Internship That Taught Me to Read Between the Lines of a Job Offer (dev.to)
300. 把讓你最引以為豪的那篇文章給我看看,我會把它們每一篇都讀一遍 Show Me the Article You''re Most Proud Of And I''ll Read Every Single One of Them (dev.to)