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Yijun Xiao

@emptycommit
Building identity infrastructure @logto_io | mcp-auth.dev Opinions from practice.
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Joined October 2013
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  • user avatar
    Yijun Xiao
    @emptycommit
    Mar 4
    写了个 TDD 的 skill，让 coding agent (Opus 4.6 high effort vs Codex GPT 5.3 Extra High) 采用 TDD 的方式从零开发一个复杂的小系统，明天起床看看他们干的怎么样。 主要关注能不能完成任务，能不能得到一个好的、易维护的架构。 目前 Opus 做的快一些，但 Codex
  • user avatar
    Yijun Xiao
    @emptycommit
    Mar 4
    不就是一两年前吗🤣，还是本代目啊喂
    user avatar
    梓沫zimo
    @using_YueCheng
    Mar 4
    很难想象上代目程序员没有Agent是如何工作的，没有ClaudeCode，没有智能代码生成，上个需求还要手动查文档改代码，Java后端还在自己实现业务规则，前端还在手写交互逻辑，不能用Agent搬砖，还要手动CV。最要命的是没有LLM可以询问，遇到问题还得不停stack overflow，上代目程序员都怎么熬出来的啊？
  • user avatar
    Yijun Xiao
    @emptycommit
    Feb 9
    Why do I see so many people dismissing MCP? Imagine a day when, just like typing a URL in your browser to use a web app, you type an MCP server address into your AI app and instantly access a service. Isn’t that exciting? And going further — AI agents can use your service
    user avatar
    Logto
    @logto_io
    Feb 9
    Sharing our hands-on experience at Logto building a Remote MCP Server for our own SaaS product in the AI era: - MCP vs Agent Skills – Real-world challenges (fragmented MCP client support, LLM misuse, secret leakage) – Production-grade MCP tool design blog.logto.io/remote-mcp-ser…