2026 年我的全栈与 AI 技术栈演进:从工程底座到 Agent 与 RAG 生态
深入分享我在 2026 年的全栈与 AI 混合技术栈架构:以 Claude Code 和 Pi Agent 为主力编程助手,以 GLM 为核心基座大模型,以 Python + FastAPI + LangGraph + RAG 为 AI 引擎,并探索 FastMCP、FastGPT 与 RAGFlow 的企业级落地。
SaaS Web Demo
Seamlessly blend the power of Astro v7 and Tailwind CSS v4 to craft websites that resonate with your brand and audience.
Each of the following features enhances AstroWind's value proposition.
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Your portfolio is your masterpiece, and AstroWind is your canvas. Whether you're a designer, photographer, artist, or any other creative professional, AstroWind empowers you to showcase your work with elegance and sophistication. Tailored to highlight your creative projects, AstroWind's templates offer a visually immersive experience that lets your portfolio shine.
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Access to core features and a wide range of templates
Tailored solutions for large-scale projects
Yes, AstroWind is designed to be compatible with the latest versions of both Astro and Tailwind CSS v4. This ensures that you can harness the full capabilities of these technologies while benefiting from the features offered by AstroWind.
Certainly! AstroWind is versatile and can be used for a wide range of projects, including both personal and commercial endeavors. Whether you're building a professional portfolio, launching a startup, or creating a marketing website, AstroWind has you covered.
While some familiarity with HTML, CSS, and web development concepts is helpful, the user-friendly interface and customization options allow those with limited coding experience to create impressive websites. For more advanced users, AstroWind offers extensive customization capabilities.
Absolutely, our dedicated customer support team is here to assist you with any questions or challenges you may encounter. Feel free to reach out to us through our support channels, and we'll be happy to provide the help you need.
Have questions? Feel free to contact us using the form below. We're here to help!
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Explore our collection of articles, guides, and tutorials on web development, design trends, and using AstroWind effectively for your projects.
深入分享我在 2026 年的全栈与 AI 混合技术栈架构:以 Claude Code 和 Pi Agent 为主力编程助手,以 GLM 为核心基座大模型,以 Python + FastAPI + LangGraph + RAG 为 AI 引擎,并探索 FastMCP、FastGPT 与 RAGFlow 的企业级落地。
在高并发全栈后端开发中,如何优雅地将多路独立 I/O 调用的总耗时从线性累加压缩到最大单次 RT?以大模型 RAG 记忆加载场景为例,深度解构 CompletableFuture.supplyAsync、allOf 屏障等待、线程池物理隔离、无锁结果聚合与 WithFallback 舱壁降级设计的核心细节。
当多轮对话聊到 30 甚至 50 轮,滑动窗口滑走了开头的关键约束、全量保留又会挤爆 Token 上下文,RAG 系统该如何破局?深入剖析 Ragent 记忆系统中的增量摘要压缩算法、lastMessageId 水位线推进机制、攒批压缩优化(summaryBatchSize)、Prompt 绝对禁止记录答案的设计哲学以及 Redisson 分布式锁防重实践。
大语言模型 API 天然是无状态的,如何让每次独立的请求表现为连贯自然的连续对话?深入剖析 Ragent 问答流水线阶段一(loadMemory)背后的三层记忆架构、异步并发拉取与容错降级、滑动窗口规整(normalizeHistory)、loadAndAppend 时序避坑以及结构化 Prompt 上下文注入顺序。