Skip to content

#Tutorials/practice

0 items today
10/6Tue
10/5Mon
  1. AI Hero · Skills Updates62

    AI Hero Skills v1.3 released: new /implement-spec, /pr, and /retro skills, and CONTEXT.md renamed to GLOSSARY.md

    AI Hero Skills v1.3 is out, adding three skills—/implement-spec, /pr, and /retro—and extending the main flow from /grill-with-docs → /to-spec → /to-tickets into implementation, PRs, and retros.

    Why it matters: The author rounds out the skill set into a full path from writing specs to PRs and retros, and lays out the trade-offs at each step along with the rough edges they already know about.

  2. Addy Osmani38

    Addy Osmani 建议为 AI 智能体配备校验产出的手段，测试是其中一部分。他推荐四类测试：模拟真实用户流程的端到端测试作为基准真相；用基于属性的测试声明绝不应发生的情况并生成数千用例尝试突破约束；替换系统时用随机输入对比新旧版本；要求测试快速且确定性运行，否则智能体可能学会重试而非修复问题。

    Awaiting translation

10/4Sun
  1. 宝玉82

    Drawing on a podcast episode, Baoyu walks through how Lauren Tan, who works on Grok Bot at SpaceXAI, merged 2500 PRs in a single month: at night she lets the AI check and merge on its own, then spot-checks the next morning instead of reviewing each one.

    Quotedlauren@poteto

    i had a lot of fun chatting with @mattpocockuk today about how i was able to land 2,500 PRs last month! Matt is a wonderful interviewer so i think the interview turned out really interesting both of our skill plugins work great together, so i recommend giving both a try and picking the best skills that suit your workflow https://www.youtube.com/watch?v=MN9dGgmLyso

    Why it matters: Using Lauren Tan's practice of merging 2500 PRs in a month, Baoyu explains that skipping individual reviews rests on validation Skills and rule constraints, and lays out the conditions under which he'd apply the same approach.

  3. Ben Holmes58

    Ben Holmes 公开了驱动其软件工厂的多智能体系统：需求来自 Linear issue 或 Slack 讨论，分诊智能体先调研并决定是直接实现还是提问，实现智能体负责构建、必要时先与子智能体协作产出 spec，验证子智能体对实现结果做端到端测试，代码评审智能体与实现智能体循环几轮后再交人工评审上线，监控自动化则响应告警并创建 issue。

    Awaiting translation

  4. Matt Pocock40

    After talking with poteto, Matt Pocock argued that in the AI era we should use abstractions more, backed by strict lint rules that narrow the agent's design space and keep it making good decisions. High-leverage abstractions let you do more with less code, which saves tokens; and with agents around, cleaning up the damage from a bad abstraction is far cheaper. He says this runs against the popular belief that "agents just want to read raw code," and calls for being bolder about designing abstractions.

10/3Sat
  3. 宝玉26

    宝玉尝试用 Opus 5.5 制作吃瓜视频，素材搜集、配音（Gemini 3.8 Flash TTS，自备 API Key）全由模型完成，产出英文和中文两个版本。

    Awaiting translation

    QuotedShivon Zilis@shivon

    It’s hard to go from in love to let go in a week with no warning, but that’s just how it is sometimes 🤷🏻‍♀️ I feel happy that I got to show Elon how it feels to be deeply understood, nurtured, and peacefully loved with stability and gentleness. Given the tumultuous nature of his early life, his often tortured soul, and how hard he fights for humanity I wanted him to feel the deepest and most stable form of love this world can provide. My heart is full knowing I got to do that, and I hope it leaves a lasting good effect. We were always his safe space. A place where all of us were overjoyed to see him and one that was always full of happiness and love, not war, in contrast to his otherwise militant existence (a needed break from the battlefield where he could recharge his heart and soul before heading back out) I loved being that counterbalancing place of safety, sense of calm, and love — and delighted in bringing a smile back to his face when he was down. I will miss him dearly. I’ve loved him more than life itself and he’s taught me 100 lifetimes of knowledge and made my cup overflow with life meaning, so there is a lot of loss, but luckily we created four beautiful little loves of my life ❤️❤️❤️❤️ I am so beyond grateful for our children and they make every single day the best day of my life! I do hope and pray he and I can be great friends and coparents. I’m hurting, but care deeply about E and will always be cheering for his happiness. God speed, Elon, the world is lucky to have you.

10/2Fri
10/1Thu
9/26Sat
  3. GitHub Blog · Copilot38

    GitHub Copilot 应用入门：如何用 canvases 构建自定义工作流

    GitHub Copilot 应用中的 canvas（画布扩展）是一种用户与智能体共享的可定制界面，可做成看板、issue 分诊板、发布清单或仪表盘。在 agent 会话中输入 /create-canvas 并用自然语言描述工作流，智能体即可生成界面并在右侧面板打开，无需手写代码或调整布局。

    Awaiting translation

  4. Boris Cherny60

    Claude Tag 在 Slack 中现已支持个人连接器，可直接访问个人有权限的 Drive 文档、Salesforce 账号或数仓表，今天在 Teams 上线、下周面向 Enterprise 开放。

    Awaiting translation

    QuotedNoah Zweben@noahzweben

    Claude Tag in Slack can now use your personal connectors! You can now securely access that Drive doc, Salesforce account, or Warehouse table that you have personal access to right where the work happens. Avail. on Teams today and Enterprise next week https://claude.com/blog/claude-tag-now-supports-personal-connectors-in-channels

9/25Fri
  1. GitHub Blog · Copilot34

    GitHub Copilot 的 canvas：当聊天框不是与 AI 协作的正确界面

    GitHub Copilot 应用推出 canvas，一种运行在应用内、无浏览器外壳的全栈小应用，可与 Copilot 智能体双向通信，也能在本地执行代码。作者认为 chat 只适合作为通用兜底界面，用户明确任务时更该让智能体生成可复用工具，例如用 canvas 管理 Winget 包或直接操作 SQLite 数据库，避免把 token 浪费在“stage and commit”这类操作上。

    Awaiting translation

9/24Thu
  1. Lovable · Blog71

    Lovable ships Chats, and opens up the trajectory and inbox architecture behind its multi-agent collaboration

    Lovable launches Chats, an agent that runs at the workspace level, can hold conversations across projects and trigger builds; once changes are confirmed, it hands the task off to the project's builder agent and brings progress back into the conversation.

    Why it matters: Lovable shares the three-layer architecture behind Chats—trajectory, inbox, and activation—which you can adapt for your own multi-agent orchestration.

  2. Lovable · Blog36

    Lovable 聊天功能免费开放，可对话探索应用创意与改进

    Lovable 聊天功能现已免费开放，Free、Pro 和 Business 工作区每天都有免费聊天额度。用户可以让它评估该做哪个创意、把客户反馈整理成计划，或分析已上线应用的代码和 Lovable Cloud 数据库用量。聊天在生成图片、视频或转交 Plan、Build 时仍照常消耗 credits，当前聊天定价（含每日免费额度）适用至 2026 年 10 月 31 日。

    Awaiting translation

  3. GitHub Blog · Copilot34

    GitHub Copilot 应用如何渲染超大 pull request

    GitHub Copilot 应用重建了 pull request 视图，用一个含 2,200 个文件、超 100 万行改动、400 多条行内评论的开源 PR 做验证。代码行沿用“绘制前高度已知”的虚拟化方案，评论等动态块则改为懒测量、高度有界，并把文档高度拆成确定性的代码高度与动态块高度两个独立域，避免滚动跳变。

    Awaiting translation

9/23Wed
9/22Tue
9/19Sat
9/16Wed
9/15Tue
  1. Mitchell Hashimoto22

    Mitchell Hashimoto 演示了通过 CLI 控制 superlogical 多路复用器 Rex，GUI 能做的操作 CLI 都能做，且 CLI 功能更多，包括创建会话、运行命令、分屏、移动窗口、切换焦点、模拟键鼠输入、等待脚本等。Rex 还提供流式事件系统供任意客户端接入或脚本化，以及终端专属 API，可获取运行进程的 JSON 对象等信息。

    Awaiting translation

9/12Sat
9/11Fri
  1. GitHub Blog · Copilot30

    GitHub Copilot 应用新手指南：使用 diff、终端和浏览器面板

    GitHub Copilot 应用内置 diff、终端和浏览器三个面板，让开发者无需在编辑器、终端和浏览器之间切换即可完成 AI 编码闭环。diff 面板用绿色和红色高亮显示代码的新增、删除和修改，支持接受更改、留下评论或让 Copilot 继续修改；终端面板可直接运行项目命令并支持多窗口切换；浏览器面板则能预览界面并用 Pick & Polish 工具选中元素让智能体调整。

    Awaiting translation

  3. OpenAI Developer Blog · Codex66

    OpenAI on How to Rewrite Skills and Prompts for GPT-6 Astra

    In an official blog post, OpenAI lays out recommendations for adjusting Skills, AGENTS.md, and task prompts under GPT-6 Astra: Skill descriptions should be as short as possible and state clearly when they apply, and multi-flow Skills should use a root document for minimal routing instead of turning the Skill into an overly specific step-by-step checklist.

    Why it matters: OpenAI has published guidance on cleaning up Skills, AGENTS.md, and prompts under GPT-6 Astra, and it carries over to existing repository setups.

9/9Wed
9/7Mon
9/6Sun
  1. Thorsten Ball · Register Spill15

    Thorsten Ball 谈 AI 写代码：是代码真的差，还是评审者的“天真干预”偏见

    Thorsten Ball 在 Register Spill 的 Joy & Curiosity #98 中借用《反脆弱》里的扁桃体切除研究，提出工程师对 Sol、Fable、Astra 等模型输出的“代码差、注释蠢”评价，可能源于“天真干预主义”偏见——AI 已在 20 分钟内端到端完成前后端改动、内外部文档和测试，并在无头浏览器中跑完全流程、附上录屏为证。

    Awaiting translation

9/4Fri
  1. OpenAI Developer Blog · Codex71

    How to Build a Game with Astra in Codex: From Void Explorer to Performance Tuning

    The author built the space exploration game Void Explorer in Codex with Astra, featuring 2,048 star systems and over 10,000 procedurally generated planets, and shared the full workflow from prompts to architecture, testing, and performance measurement.

    Why it matters: Using Astra in Codex, the author built an entire game and showed a transferable collaborative workflow that spans prompts, testing, and performance measurement.

  2. OpenAI Developer Blog · Codex28

    用 Codex 中的 Astra 做建筑可视化：从 Blender 场景到 Unreal Engine 5

    用户向 Codex 中的 Astra 描述一栋极简住宅的需求，Astra 通过 Blender Python API（bpy）生成可编辑 3D 场景，完成建筑、家具、材质、灯光与相机，并自行检查预览渲染、修正细节。项目从带家具的起居亭扩展为围绕庭院布局的 U 型单层住宅，含三间卧室、办公室、浴室和更衣室，随后导出到 Unreal Engine 5 探索实时漫游。

    Awaiting translation