Best practices, reproducible workflows, and tutorials with commands and configuration examples.
OpenAI's developer blog explains how to systematically test Codex Agent Skills with evals, turning "it feels better" into comparable scores.
Why it matters: It lays out a complete workflow for systematically validating Codex Skills with evals, from defining success criteria to deterministic checks and scoring.
Skyscanner 工程师把 OpenAI 的 Codex CLI 接入 JetBrains IDE 的 MCP server，让 Codex 能调用 IDE 的 get_file_problems 检查文件错误、执行预设的 run configurations 跑测试和 lint。
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Why it matters: Skyscanner 工程师把 Codex CLI 接入 JetBrains MCP，让 AI 直接读取 IDE 报错并跑测试，读者可借鉴这套反馈闭环。
作者把 Wordiest 最后一个 Android APK 交给 Codex + ChatGPT 5.2，半小时内得到可玩的核心游戏，几小时后完成 Android 与 iOS 版本，全程未写也未读一行代码。
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Why it matters: 作者用 Codex 反编译 Android 游戏并移植到 iOS，展示了智能体开发中难易直觉失效的真实体验。
作者实测 OpenAI Codex CLI 新增的 Skills 支持，该功能目前藏在 feature flag 后，需用 codex --enable skills 开启。
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Why it matters: 作者实测 Codex 的 Skills 支持，对比 Claude Code 的加载方式，并给出目录结构与触发规则。
When developing web apps with the coding agent, the author often runs into client-side JavaScript bugs. If the agent can't fix them by reading the code, it fires up browser MCP for interactive debugging just to see the browser console logs—burning tokens and slowing things down.
Why it matters: The author shares a reusable front-end/back-end log bridge approach that lets the coding agent see front-end logs without browser MCP.
In the Codex Cookbook, OpenAI lays out a complete workflow for modernizing a legacy codebase with Codex CLI, using a COBOL portfolio system as the example and moving through five phases built around an ExecPlan design document.
Why it matters: Using a COBOL portfolio system as the example, it offers reusable documents and a validation workflow for modernizing legacy code in phases with Codex CLI.
Author Jesse Vincent spent an afternoon porting Superpowers and the whole SKILL.md system to the OpenAI Codex CLI, shipping it with Superpowers 3.3.0.
Why it matters: The author ported Claude's SKILL.md system to the Codex CLI, with tool mappings and install instructions, so you can judge whether reusing Skills across models is feasible.
Dagster Labs 分享了用 OpenAI Codex 加速技术文档写作、跨媒介内容转换和文档覆盖度评估的实践。他们重写了 CONTRIBUTING.md，明确文档层级、结构和最佳实践，让 Codex 能据此生成符合规范的文档；还借助 gh 命令让 Codex 解读 PR 的 diff 和描述，并让 Codex 把教程改写成 YouTube 视频脚本。
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Why it matters: Dagster 团队把 Codex 用于文档写作、PR 解读和内容跨媒介转换，其中用文档生成代码来反向衡量文档覆盖度的做法可以迁移。
Anthropic rolled out its first-party Skills system simultaneously on Claude Code, Claude.ai, and the Claude API, and author Jesse Vincent quickly followed with a new version of Superpowers built on the official Skills.
Why it matters: Drawing on nearly a month of hands-on use, the author compares the official Skills with his own setup and lays out the trade-offs involved in migrating.
Martin Fowler 试用 Kiro、spec-kit 和 Tessl 三款自称实现 spec-driven development（SDD）的工具，把 SDD 归纳为 spec-first、spec-anchored、spec-as-source 三个层次，并指出目前所有方案都停留在 spec-first。
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Why it matters: 作者亲手试用 Kiro、spec-kit 和 Tessl 三款 SDD 工具，给出 spec-first、spec-anchored、spec-as-source 三层划分，并指出小任务被过度规格化的问题。
Author Jesse Vincent released Superpowers, a set of Skills built on Claude Code's new plugin system. Once installed, it injects a guiding prompt through the session-start hook, prompting Claude to proactively search for and use these Skills.
Why it matters: The author packaged his own coding-agent workflow into an installable Skill plugin, so readers can directly reuse his implementation flow from brainstorming to TDD.
The author walks through their full workflow with Claude Code: first isolating tasks with git worktree, then using a brainstorming prompt to make Claude ask only one question at a time and confirm the design in stages, and finally using a planning prompt to break the plan into small tasks and write them into docs/plans/.
Why it matters: The author splits Claude Code into two sessions—an architect and an implementer—and shares reusable prompts plus a git worktree approach for isolating tasks.
Anthropic's applied AI team argues that context engineering is a continuation of prompt engineering, and the core idea is picking the smallest set of high-signal tokens within a limited attention budget.
Why it matters: Anthropic lays out a systematic approach to context engineering, covering the trade-offs among three long-task strategies: compression, note-taking, and sub-agents.
The author rewrote a long block of CLAUDE.md rules as a GraphViz dot flowchart, using quoted strings as node names, different shapes to distinguish decisions, commands, and warnings, and giving each flow an explicit trigger condition.
Why it matters: After rewriting the CLAUDE.md rules as a GraphViz dot flowchart, Claude followed the rules better, and this approach can be carried over to your own projects.
The Manus team shares context engineering lessons from building AI agents, centered on designing around the KV cache, managing tools by masking rather than removing them, treating the file system as context, steering attention by restating to-do items, keeping errors in context, and avoiding getting stuck on few-shot examples.
Why it matters: The Manus team distilled lessons from rewriting their agent framework four times into six context engineering principles—ready to apply directly to your own agent implementation.
OpenAI Codex Cookbook 给出把 Codex CLI 接入 GitLab CI/CD 的完整做法，用于生成 CodeClimate JSON 代码质量报告、把 SAST 结果整理成 security_priority.md，并让 Codex 输出可 git apply 的补丁。
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Why it matters: 官方 Cookbook 给出把 Codex CLI 接入 GitLab CI 的完整配置，含提示词约束、JSON 标记提取与 diff 校验，可直接照搬。
Martin Fowler 给 OpenAI Codex 布置了一个前端标签格式化的化妆类小任务，并完整公开了 Codex 的日志和生成的 PR。日志显示 Codex 主要靠 grep 反复文本搜索定位代码，中途因把 AGENTS.md 误写成 AGENT.md 来回折腾，还因删掉 .yarnrc 导致测试无法运行，最终 PR 里有两个回归测试失败。
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Why it matters: 作者完整记录 Codex 自主完成一次前端小任务的日志，并对比 6 次运行结果，展示后台编码智能体在环境配置和代码复用上的真实短板。