AI-Native Builder
用 Claude Code、Codex 和工程化工作流,把想法变成真实可运行的产品。
我正在持续练习一种新的开发方式:把 AI 当作 co-developer,而不是只当作辅助工具。
我关注的不是“写得更快”本身,而是如何把需求拆清楚、把验证做扎实、把产品真正交付出来。
AI-native 时代,重要的不只是会不会用工具,而是能不能把判断力、产品感和工程执行连接起来。
- AI-Native 全流程开发:和 Claude Code / Codex 一起完成需求拆解、架构设计、实现、Code Review、测试与发布。
- Local-first / 可验证产品:偏好能在本地跑起来、能被检查、能被复现的小产品。
- 持续公开构建:把 AI-native 实战经验沉淀成开源项目、文档和可复用工作流。
| Project | What it is | Focus |
|---|---|---|
| Vibe_coding_guide | 中文优先的 Vibe Coding / AI coding 工程工作流指南 | AI coding、agents、worktrees、skills、review |
| SiftMarks | Local-first AI bookmark manager | 语义搜索、书签整理、Chrome sync、MCP |
| ProofRoute | OpenAI-compatible LLM router / proxy | 成本优化、模型路由、隐私证明、coding agents |
Working with AI
- Claude Code / Codex
- Agentic coding workflows
- Prompt-to-product iteration
- Multi-agent collaboration
- Documentation-first product building
- Build useful AI-native tools that solve real workflow problems.
- Keep shipping small, verifiable products in public.
- Turn repeated lessons into clear docs, templates, and open-source projects.
- Stay curious, stay kind, and keep improving judgment through practice.
- GitHub: @Lling0000
- Open to: AI-native products, developer tools, local-first apps, and practical agent workflows.