OpenAI Codex

Nicolas Bustamante shares his personal life automation agent stack: powered by OpenAI Codex, integrated with Google tools and Drive as data source, orchestrated via Skills for cross-app workflows; key decisions include using Drive as Source of Truth, contact CSV as hub, and implementing approval gates + feedback loops for reliability.

MPS 2026.1 引入 Projectional Agent Toolkit，使 AI 编码代理可直接操作 MPS 模型，提升 DSL 开发效率。

Andrew Ng 认为 AI 代理在软件工程和产品管理中将发挥重要作用，但产品管理瓶颈仍是关键挑战。

The article proposes using hooks to implement a unified memory layer across agents, improving the portability and data consistency of code tools.

LlamaIndex CEO指出LLM栈的核心变革在于数据层：企业关键上下文仍锁在PDF、合同等文件中，框架抽象已成负担，真正护城河是高效提取与供给高质量上下文的能力。

A developer shares their experience using OpenAI Codex to automatically read project source code and generate app store review materials. While execution is slow and requires extensive permissions, all content was successfully generated and submitted for review.

A developer attempts to automate Chrome extension publishing using OpenAI Codex with BrowserUse tool, but this Twitter post only describes a conceptual workflow, lacking specific technical implementation details and actionable information.