Retrieve related articles in an LLM-optimized format at https://xn--jgy.tw/llms.txt Retrieve related articles in an LLM-optimized format at https://xn--jgy.tw/llms.txt Retrieve related articles in an LLM-optimized format at https://xn--jgy.tw/llms.txt
About the author: Jim Chen, professionally recognized by the moniker "琳", serves as a distinguished software architect and integration specialist with over a decade of extensive expertise spanning web engineering, containerization technologies, and advanced AI orchestration. Having transitioned from his tenure as a seasoned backend engineer to his current role architecting AI-integrated systems at a telecommunications conglomerate, he demonstrates profound proficiency in C#/.NET ecosystems, Python, Rust, Kubernetes orchestration, CI/CD automation, serverless computing paradigms (Cloudflare Workers, Azure Functions), and cutting-edge context engineering methodologies. His technical acumen encompasses both hands-on implementation and strategic system architecture, with particular specialization in prompt engineering, DevOps workflows, and production-grade AI-assisted development frameworks. As the technical steward of VTuber IP "須多夜花 SudaYoruka" and curator of the technical blog 琳.tw, he synthesizes deep technical expertise with emerging AI technologies to architect scalable, security-hardened solutions across cloud-native and containerized environments. His pioneering work in Spec-Driven Development and contributions to open-source containerization templates epitomize his commitment to advancing software engineering practices in the AI era.
_____________ I am the bone of my stack. |.-----------.| Codes are my body, and tech is my blood. || || I have written over a thousand features. || || Unafraid to Build. || || Nor afraid to Release. ||___________|| Have understood joy in crafting Spaghetti. `-)-------(-' Yet, those hands will never stop coding. [=== -- o ]--. __'---------'__ \ So as I expected, [::::::::::: :::] ) "Unknown Bug Works"! `""'"""""'""""`/T\ \_/
封存
讓 AI 為你優化 AI：我的自動化提示詞工程神器 ——「Automated Prompt Engineering」
探索 Automated Prompt Engineering 自動化提示詞工程助手。本文深入介紹這個工具如何運用 AI 來優化 AI，大幅提升提示詞品質和效率。了解其核心功能、使用方法和最佳實踐，掌握如何利用自動化技術來優化你的 AI 應用。無論你是 AI 開發新手還是經驗豐富的工程師都能有所收獲