1
Agentic Neural Architecture Search
突破传统NAS依赖人工搜索空间的限制，借助LLM在开放空间中自主生成最优网络架构。
arXiv:2607.07984v1 Announce Type: new Abstract: Neural architecture search (NAS) methods have grown increasingly efficient, yet they remain bounded by…
2
The Multi-Agent Architecture for Education
多智能体协作架构如何用Planner、Writer、Formatter等Agent模块化重构教育流程，解决LangChain线性管道的痛点。
The Problem With One Prompt When we first started automating curriculum production , the obvious move was to throw a big prompt at Gemini and ask it t…
3
COOPA: A Modular LLM Agent Architecture for Operations Research Problems
提出COOPA模块化架构，让LLM代理高效解决运筹学优化问题
arXiv:2606.27611v1 Announce Type: new Abstract: Operations Research (OR) provides a rigorous framework for high-stakes decision-making, but effective …
4
How I built a simple AI router to avoid vendor lock-in and costs
一个轻量级AI路由方案，帮你灵活切换模型、摆脱供应商锁定、控制成本。
I've been working on a side project that needs AI for a few different tasks: answering user questions, generating image captions, and summarizing chat…
5
Stop paying for the same tokens twice
通过两次架构调整，将16K-token PR的AI审核成本从1.32美元降至0.49美元，省去重复token付费的实用技巧
I ran five reviewer agents over a 16K-token PR. The naive setup cost $1.32. Two architectural changes brought it to $0.49. Here's the bill, and what t…
6
AI Doesn't Hallucinate. Your Architecture Does.
颠覆认知：AI“幻觉”的根源不在模型，而在糟糕的系统架构设计。
Everyone is talking about hallucination. That's the wrong diagnosis. Hallucination isn't a bug. It's the mechanism. Turn the temperature down far enou…
7
Architectural Approach to Reliable Daily Automation Workflows
告别简陋脚本，用架构思维打造每日自动化工作流，让数据源、限流API和通知层稳定协同。
In the modern software landscape, automation is no longer just about writing a quick Python script and throwing it into a Linux Cron job. As developer…
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Carbon-Aware Governance Gates: An Architecture for Sustainable GenAI Development
提出碳感知治理门控架构，将碳排放纳入生成式AI开发决策，兼顾性能与可持续性。
arXiv:2602.19718v2 Announce Type: replace-cross Abstract: The rapid adoption of Generative AI (GenAI) in the software development life cycle (SDLC) in…
9
Designing a scalable event-sourced analytics platform
事件溯源设计可扩展分析平台，用户行为事件驱动，状态重建与故障恢复一气呵成。
Designing a scalable event-sourced analytics platform Designing a scalable event-sourced analytics platform In modern data systems, you often need to …
10
"My AI Assistant Needed a Control Plane, Not a Bigger Loop"
AI助手需要控制平面而非更大循环，架构设计才是关键突破。
I kept trying to make my AI assistant smarter by adding more tools to the same loop. That worked for a while. Then the assistant had to do normal user…
11
How to Cheat LLM Context: A Lightweight AI Doc Assistant Architecture
揭秘LLM上下文“作弊”技巧：轻量级AI文档助手架构，通过意图过滤与低令牌注入实现精准响应。
Dropping your entire Markdown documentation folder into an LLM prompt sounds easy - until you see the API bill. Large contexts mean large costs, espec…
12
Ask HK: How are you building AI apps today?
Hacker News上的开发者热议：大家如何用LLM API构建AI应用？从架构到工具，分享真实实践经验。
Generally curious how folks are using LLM APIs today. Are folks doing anything bespoke, unique or different? I think we've seen a lot of usage with ha…
13
How Airtable Built the Search Layer Behind Their AI Features
Airtable揭秘如何为AI功能Omni打造搜索层，将自然语言查询与海量数据精准对接，技术架构值得深入学习。
In this article, we will look at how Airtable’s data infrastructure team built its architecture, the challenges they faced, the tradeoffs they a…
14
MDIA: A Multi-Agent Diagnostic Intelligence Pipeline on HealthBench Professional
架构升级比提示工程更有效：7节点专业路由多智能体系统在临床基准上实现飞跃
arXiv:2605.24699v1 Announce Type: new Abstract: Most reported gains on agentic-LLM clinical benchmarks are often attributed to prompt engineering, yet…
15
Architecting Agentic Communities using Design Patterns
用设计模式为AI社群搭建可复用架构，从模式角度解决多Agent协作的系统化问题。
arXiv:2601.03624v3 Announce Type: replace Abstract: The rapid evolution of Large Language Models (LLM) and subsequent Agentic AI technologies requires…
16
I built a self-hosted CI/CD platform with persistent queue, encrypted secrets, and rollback UI — here's what I learned
作者自建CI/CD平台，详解持久队列、加密密钥和回滚UI等架构决策与实践心得
For the past several months I've been building Deploy Center , a self-hosted CI/CD deployment platform. v3.0 shipped recently, and I want to share the…
17
AI token streaming isn't about SSE vs. WebSockets
这篇技术文章直击AI token流的本质，从架构设计角度剖析SSE和WebSocket的适用场景，帮你避开常见误区。
Article URL: https://zknill.io/posts/ai-token-streaming-isnt-about-sse-vs-websockets/ Comments URL: https://news.ycombinator.com/item?id=48227190 Poin…
18
(How) Do Large Language Models Understand High-Level Message Sequence Charts?
LLM在软件架构设计规范中的语义理解能力待验证，这篇论文填补了相关研究空白。
arXiv:2605.13773v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) are being employed widely to automate tasks across the software…
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What Broke After 10M WebSocket Events (And How We Fixed Our Realtime AI Orchestration)
10M WebSocket事件后系统崩溃的真实教训，揭秘实时AI编排的扩容难题与修复方案
Introduction We built a realtime AI feature for a multi-tenant SaaS: live agent assistants that coordinate across services and update UIs via WebSocke…