Workflow on Mengboy 技术笔记

OpenAI Responses API + MCP in Practice: From Function Calling to Agent Workflows

Wed, 11 Feb 2026 23:15:00 +0800

If you’ve already used function calling but keep writing glue code for every non-trivial task, you’re likely at the point where Responses API + MCP makes more sense.

This guide is practical: how to move from single tool calls to a scalable agent workflow where retrieval, execution, validation, and write-back follow a consistent structure.

OpenAI Responses API + MCP 实战：从函数调用到 Agent 工作流

Wed, 11 Feb 2026 23:15:00 +0800

如果你已经做过函数调用（function calling），但一上复杂流程就开始写一堆胶水代码，那你差不多到了该用 Responses API + MCP 的阶段。

这篇不讲空概念，直接给你一个可落地的路线：把“模型调用工具”升级成“可扩展 Agent 工作流”，让检索、执行、校验、回写变成标准流程。

Claude / Codex / OpenAI CLI 工作流对比：开发效率怎么选

Mon, 09 Feb 2026 23:28:00 +0800

如果你把 AI 只当“聊天工具”，三家看起来差不多；但一旦进入真实开发链路，差异会非常明显。

我的结论先放前面：日常编码+项目内改动优先 Codex，长文推理和方案拆解用 Claude，OpenAI CLI 适合做标准化自动化和跨工具串联。

Claude vs Codex vs OpenAI CLI: Which Workflow Actually Improves Dev Productivity

Mon, 09 Feb 2026 23:28:00 +0800

If you use AI as a chatbot only, these tools feel similar. In real engineering workflows, they behave very differently.

My conclusion first: use Codex for repo-native coding changes, Claude for deep reasoning and long-form planning, and OpenAI CLI for standardized automation pipelines.