与「AI_Coding」相关的搜索结果

Mole CLI just passed 60K stars. It started as a few hundred lines of code I wrote by a pool in Sanya last October. Now: 55 releases, 112 contributors, 812 issues resolved. It also grew into Mole Mac, the pro version with a native GUI and much more. 4 aha moments from using it myself: 1. Got a notification that my AirPods were low on battery. AI suggested it while I was building battery health, and I shipped it. Works for any Bluetooth accessory. Helpful, never noisy. 2. I use Mole daily and it still found 1 TB to clean. Rust target folders add up fast. One scan, gone. 3. Keep Screen On now has 3 modes. Head out on a weekend, your AI coding agent keeps working, you steer it from your phone. 4. Your iPhone battery now shows next to your Mac. All your devices in one quiet dashboard. None of these were my idea. All came from early users, and now they help me every day.

Most people seriously underestimate what Grok Build can do They assume an AI coding agent is only useful for building apps or writing complex software But some of its most valuable work is handling the boring, obvious tasks that quietly consume 10 minutes here, 20 minutes there, every single day For example, I gave Grok Build a SpaceX video posted on 𝕏 and asked it to extract the clearest frames and turn them into a clean collage It pulled the video, selected the strongest images, cropped them, arranged the layout and produced the final collage shown in the post below I simply described the result I wanted, then let it handle the entire process while I worked on something else And that is only one small example You can use Grok Build to: • Organize and intelligently search files across your computer • Diagnose and fix audio, display and system-setting problems • Download, install and configure apps or tools • Extract images or audio from videos • Add music, trim, compress and convert media • Resize, crop and enhance images • Batch rename and organize hundreds of files • Clean spreadsheets, merge datasets and build dashboards • Write scripts and automate repetitive tasks • Fix broken configurations and connect tools together Even something as annoying as an audio setting not working becomes much easier Instead of hunting through menus, searching forums and trying random fixes, you can explain the problem to Grok Build It can inspect the setup, identify the likely cause, change the relevant configuration and test whether the fix worked It is basically an agentic operator living inside your computer, working within the permissions you give it I also keep a simple instruction file telling Grok how I prefer tasks to be completed, including automatically opening the finished result after a successful run so I do not forget about it Configure the workflow once, and Grok keeps working the way you prefer That is what makes Grok Build so useful It is not only building software It turns all the small computer tasks between an idea and the finished result into work you can simply describe and delegate

The future of coding is AGENTIC. Thanks to all who joined our Qoder webinar! See how Qoder, our end-to-end AI coding agent, transforms dev workflows & boosts productivity. Try Qoder on us to streamline your dev lifecycle! 🔗 #Qoder# #AICoding# #AlibabaCloudPH#

我不否认99% vibe coding 出来的产品也好 什么一人公司也好根本不会有人用，也不会有人注意到，但ai coding真正能提升的是有想法有创造力的人的能力，ai加强的是强者的边界，它可以放大你能力的10x 但普通人是1，10x也就还是10，强者可以是100，1000 放大10x就是 1000，10000，这是绝对值得碾压，对我个人而言，vibe coding解决了我很多工作和生活上的问题 把很多懒得实现（或者因为安全隐私考量没来得及实现的）的想法实现了。我觉得很幸运生在这个时代。

Since the start of the year, @OpenCode (YC W21) — an open source alternative to Claude Code and Codex that works with any model — exploded to 4.6 million weekly active users, 13 million monthly actives, and roughly $40M in annualized revenue. In this episode of The Lightcone, @harjtaggar, @snowmaker, and @sdianahu talk with Jay V (@jayair), OpenCode’s CEO, about what’s driving this wild growth, the Anthropic clampdown that inadvertently fueled it, and the almost 20 year founder journey that led him here. 00:44 — OpenCode’s Explosive Growth 01:16 — 20x Growth, 13M Users, and 7 Trillion Tokens 03:39 — The Anthropic Controversy That Changed Everything 05:43 — Bringing AI Coding Agents to the World 06:39 — When Open Source Models Became Good Enough 08:56 — What Millions of Developers Are Actually Using 13:31 — Why OpenCode Is Huge Outside the US 15:27 — Why Fortune 500 Companies Choose OpenCode 16:36 — The Economics of AI Tokens 20:02 — How Enterprises Are Using Coding Agents 22:58 — AI’s New Unit Economics 24:56 — Why Model Choice Matters 29:55 — The Product Decisions Behind OpenCode 34:21 — A 16-Year Overnight Success 41:16 — Why Jay Never Gave Up

哇，我的AI剪辑交流的群友里面都是什么高人，居然能随口说出这样的话： 「本质上剪辑是一个结构化数据的拼装过程。AI 和人都在改这份数据，和今天的 AI coding 是一个道理。」

我身边有个同事，技术能力很强，AI Coding 也用得特别多。 不过他有个特点，就是不太舍得花钱。 从免费的 Kimi 开始，一路买各种套餐。Kimi Coding Plan、Trae、OpenCode、阿里百炼……基本都试了一圈。最后得出的结论特别朴素：哪个便宜用哪个。 便宜确实是便宜。 但是便宜也有代价，很多最新的模型都没有，像 Kimi K3、GLM 5.2、Claude、GPT Codex 这些，他基本都体验不到。 他属于那种特别会过日子的工程师。 模型不给力，那就拼命榨模型。 前几天他写了一个 Skill，想根据一套 C++ 代码自动反推出详细设计文档。整个 Skill 十几 K，几乎全是提示词。 我拿内网模型跑了一遍。 五分钟结束。 吐出来一份二十 K 左右的“详细设计”。 我看完以后，总觉得哪里不对。 不是提示词的问题，而是感觉整个活儿都压在一个 Agent 身上了。 于是我几乎没改提示词，就是把流程拆了一下。让一个 Agent 负责规划，再分几个 Sub Agent 去写不同章节，最后回来汇总、补充、检查。 还是那个内网模型。 最后硬是跑出来一份一百五十 K 的详细设计。 说实话，质量还是一般，离 Claude 和 GPT Codex 那种效果还有距离。 但是我突然发现一个挺有意思的现象。 同样都在用 Agent。 他研究的是怎么把一段 Prompt 写得越来越长。 我研究的是怎么让几个 Agent 少聊天、多干活。 到底谁对，我现在也不敢下结论。 没准再过一年，模型聪明到一句话就全干完了，什么 Skill、什么提示词工程、什么工作流，统统都成了历史包袱。 不过至少今天，尤其是在内网这些能力没那么强的模型上，我还是觉得，Workflow 比 Prompt 更值钱一点。 以前写程序，总有人喜欢把三千行代码塞进一个函数里，也总有人喜欢拆成几十个小函数。 现在回头看，AI 好像也开始走这条路了。

好消息。 我这边有个岗位，会 Rust 最好，不会也没关系，但一定要重度 AI Coder，有自己的 AI 工作流。 可远程，但需要现场的时候也得在现场。 短期岗位，可到明年，适合喜欢 AI Coding ，挑战困难，今年还未找到工作的朋友。