Best practices, reproducible workflows, and tutorials with commands and configuration examples.
Ponytail 是一个 MIT 许可的规则集，可接入 Claude Code、Codex、Cursor、Copilot、Gemini CLI 等智能体，通过六级决策阶梯让模型在写自定义代码前先判断是否该做、标准库或平台内置能否解决，从而减少生成代码量。
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Why it matters: Ponytail 用六级决策阶梯约束 AI 智能体少写代码，并给出真实仓库上的基准与成本数据，可迁移到团队规范。
OpenAI 发布 Codex Remote 使用指南，介绍如何在 ChatGPT 移动端启动、指挥、审查和整理运行在开发机上的编码任务，核心思路是把手机当作控制平面而非终端。
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Why it matters: OpenAI 官方梳理 ChatGPT 移动端 Remote 控制 Codex 的完整用法，涵盖 Queue 与 Steer、side chat、Plan 与 Goal 等关键决策点。
AI Hero 的 skills 目录发布 v1，通过在各 Skill 上启用 disable-model-invocation: true，让 Skill 描述不再进入模型选择 Skill 时查看的上下文窗口，Skill 描述的 token 成本降低 63%。
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Why it matters: v1 用 disable-model-invocation 把 Skill 描述移出上下文窗口，并区分用户调用与模型调用，读者可据此判断自己的 Skill 组织方式。
Augment launches Project Builder on the Cosmos platform. This Cosmos expert turns a one-line feature description into a design doc grounded in the real codebase; after human review, it orchestrates worker agents to implement the work and drive it to merge.
Why it matters: Augment has shared how Project Builder handles design review and orchestration, plus the code volume and launch timelines of three production projects—enough to judge whether design-first plus agent orchestration is workable.
Cline 官方博客介绍如何用插件和 Hook 给智能体循环加上确定性行为与护栏。插件是单个对象文件，可复用在同一份代码的 CLI、VS Code、JetBrains 和 SDK 上。
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Why it matters: 原文给出 Cline 插件与 Hook 的完整代码示例，读者可据此为智能体循环加上日志记录和危险命令拦截。
Inside Claude Code, Anthropic has already built up hundreds of Skills in active use. The team sorts them into nine categories—library and API references, product validation, data fetching and analysis, business process automation, code scaffolding, code quality and review, CI/CD and deployment, runbooks, and infrastructure operations—and notes that the best Skills should fall cleanly into one of them.
Why it matters: Anthropic’s internal framework for categorizing hundreds of Skills, along with its experience writing them, can carry over to a team building its own Skill library.
Anthropic has shipped dynamic workflows in Claude Code. Claude can write its own harness on the fly for a specific task, and these workflows can be shared and reused. Workflows orchestrate subagents through functions like agent(), parallel(), and pipeline(), and you can specify which model each agent uses and whether it runs in its own worktree. If a session is interrupted, resuming it picks up where it left off.
Why it matters: The Anthropic team breaks down six orchestration patterns for dynamic workflows and where each one fits, and these patterns carry over to multi-agent task design.
Cloudflare built a CI-native AI code review system on top of the open-source coding agent OpenCode. A coordinating agent dispatches up to 7 dedicated review agents, split by security, performance, code quality, documentation, release, and internal standards, then deduplicates their output and posts a single structured review comment.
Why it matters: Cloudflare has published the plugin architecture, risk grading, and cost data behind its multi-agent code review in CI, and the setup can be ported to your own review pipeline.
Augment wires the Incident Investigator expert from its internal Cosmos platform into Slack and PagerDuty. It automatically triages every alert and runs root-cause analysis, then suggests one of four actions: fix the code, roll back, upgrade, or just keep monitoring. Humans only review the RCA and make the call.
Why it matters: Augment has shared the full playbook for putting Cosmos Expert on alert triage, along with a month of before-and-after data, so you can adapt it to your own on-call process.
Lovable 团队为自家智能体搭建了两个自动化闭环，用来持续减少用户卡住的情况。第一个是 Lovable Stack Overflow（LSO）知识库，在用户请求前由分类器、选择器和合成器判断是否注入解决方案，早期版本让卡住率下降 5%、发布率提升 2%。
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Why it matters: Lovable 团队公开两个自动化闭环的落地细节，可借鉴如何用知识库和反馈工具降低用户卡住率。
Anthropic 工程师 Thariq Shihipar 提出用 HTML 替代 Markdown 作为 Claude Code 的输出格式，理由是 HTML 信息密度更高、更易阅读和分享，还能做双向交互。
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Why it matters: Anthropic 工程师分享用 HTML 替代 Markdown 承载 Claude Code 输出的做法，附常见场景的提示词与模板。
Codex team member jason (@jxnlco) shares how to get the most out of Codex, the key being to combine persistent conversation threads, voice input, task intervention and queuing, MCP servers and connectors, conversation thread automation, goal setting, and the sidebar.
Why it matters: A member of the official Codex team breaks down how to use persistent conversation threads, task intervention, automation, and goal setting—approaches you can carry over into everyday agent workflows.
Lovable 上线 Skills 功能，把重复交代的工作方式写成可复用的 markdown 技能文件，在相关任务出现时按需加载。技能以文件夹形式组织，主文件 SKILL.md 含 name、description 和 instructions，description 是决定是否触发的唯一依据，支持文件只在主文件引用且确实需要时才加载。
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Why it matters: 官方详解 Lovable Skills 的文件结构、触发机制与写法，并给出可对照的正反示例。
Augment Code 调研了 219 位工程负责人，发现其团队约 48% 的代码由 AI 生成，55% 担心团队对代码库失去共同理解，63% 表示工程师向管理者提出了技能相关性方面的担忧，在 201-1000 人规模的团队中这一比例升至 89%。
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Why it matters: 219 位工程负责人的调研数据揭示了 AI 原生开发中代码评审、技能焦虑与角色定义之间的落差。
AI Hero 在其 skills 仓库新增 /handoff 和 /prototype 两个 Skill。
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Why it matters: 作者公开了 /handoff 与 /prototype 两个 Skill 的设计思路，可看到上下文交接与原型验证如何嵌入智能体工作流。
Starting with Codex 0.128.0, OpenAI offers Goals, turning one-off prompts into persistent objectives within a thread. Codex keeps checking evidence such as tests, benchmarks, or deliverables to decide whether the goal is done.
Why it matters: The official docs lay out where Goals fits, how to write its six elements, and the lifecycle commands, so you can tell when a persistent objective should replace a one-off prompt.
Claude Code team member Thariq makes the case for replacing Markdown with HTML as the output format for AI agents: HTML packs in more information, is easier to share, and supports two-way interaction, while Markdown's editing advantage stopped mattering once he switched to making changes through prompts.
Why it matters: Claude Code team members explain why they use HTML instead of Markdown as the agent output format, and share prompts you can use as-is along with the scenarios they fit.
Boris Cherny, the creator of Anthropic's Claude Code, said in an interview at Sequoia AI Ascent that he went all of 2026 without writing a single line of code, merging dozens of PRs a day—150 in a single day at his peak—doing most of his work from his phone, with 5 to 10 sessions and hundreds of agents running at any given time, plus thousands more chewing through deep tasks overnight.
Why it matters: Boris Cherny walks through Claude Code's path from incubation to a billion dollars in revenue, and lays out his calls: programming is solved, SaaS moats are being flattened, and organizational process is where the real edge is.
作者提出让仓库对 AI 智能体友好的实用审计清单，核心是让智能体能快速回答行为在哪、什么不能改、怎么测、如何证明完成。清单包括在根目录放仓库地图、明确高风险区域、写出验证命令、用 AGENTS.md 提供跨工具通用说明，以及用 Zod schema、TypeScript 接口和测试名把契约变成可执行边界。
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Why it matters: 作者给出一份可逐条落地的仓库审计清单，说明如何让智能体快速找到模块、边界和验证命令。
AI Hero 的 skills 仓库更新，把 /ubiquitous-language 废弃并合并进新 Skill /grill-with-docs，输出从 ubiquitous-language.md 改为 context.md，并支持多个限界上下文各自维护共享语言。
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Why it matters: 作者把 /ubiquitous-language 合并为 /grill-with-docs，并给出 ADR 触发条件与多限界上下文做法，可迁移到自己的 Skill 配置。