AI 教程与实战
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教程 / 实战普通
Can Rust Make Unsafe AI Agent Actions Unrepresentable?
I went looking for a better runtime check and found a different way to think about the problem. I...
信息来源:DEV Community
教程 / 实战普通
Inside nano-vLLM: What an RTX 3090 Reveals About LLM Serving
0. What I studied and what I found I studied nano-vLLM as a small LLM serving engine:...
信息来源:DEV Community
教程 / 实战普通
Building DevLog: What Happens When You Tell an AI to Think Like a Security Engineer First
Submission for the Cloud Run AI Challenge — #AccelerateAIwithCloudRun When I started this challenge,...
信息来源:DEV Community
教程 / 实战普通
Tripo + Astra 工作流:用隐藏网格实现角色表情切换
创作者用 Tripo 生成同一角色的多个表情差分模型,将当前表情以外的网格缩至极小藏进头部,再通过驱动器切换,从而绕开 Blender 形状键的高难度操作。该方案由 Astra 完成大部分设置,缺点是消耗大量 Tripo 额度、无中间表情、无法合成表情,且 VRM 等加载端多不支持。
信息来源:Tripo(官方 X)
教程 / 实战普通
I Rebuilt My RAG Pipeline Without LangChain — What Got Better and What Got Worse
The first time I seriously doubted the framework was not because the model hallucinated. It was...
信息来源:DEV Community
教程 / 实战普通
Giving AI Agents the Same RBAC Rules as Your Users: Building a Laravel Permission Layer LLMs Actually Respect
AI agents don’t use web browsers. They don’t click buttons, submit forms, or trigger standard HTTP...
信息来源:DEV Community
教程 / 实战普通
Building a Production RAG Pipeline with n8n, Qdrant, and Gemini: A Step-by-Step Walkthrough
The first version of a RAG system always looks convincing. You connect a document loader, a vector...
信息来源:DEV Community · Gemini
教程 / 实战普通
Multi-Agent Orchestration in Laravel: Coordinating Specialists Instead of One Giant Prompt
The first version of most AI features is not a system. It is one giant prompt doing too many...
信息来源:DEV Community
教程 / 实战普通
The Hidden Cost of AI Agents: A Token Budget Framework for Production Laravel Apps
Your Laravel app adds an agent. The controller action looks harmless: one user message, one model...
信息来源:DEV Community
教程 / 实战普通
We Deleted Our Vector Database. Postgres Was Faster.
We paid for a vector database for a year. It was faster than Postgres at the one thing it does. We...
信息来源:DEV Community
教程 / 实战普通
Why Better Prompts Won't Save Your Broken AI Agent
The tenth prompt tweak usually feels like progress. The eleventh reveals the problem: the fix that...
信息来源:DEV Community
教程 / 实战普通
Why AI Agents Need an Evaluation Loop, Not Another Better Prompt
The tenth prompt tweak usually feels like progress. The eleventh reveals the problem: the fix that...
信息来源:DEV Community
教程 / 实战普通
The Next RAG Problem Isn’t Retrieval — It’s Knowing When Not to Retrieve
The most expensive RAG failure is often not an empty search result. It is a confident answer built...
信息来源:DEV Community
教程 / 实战普通
RAG vs Memory vs Tools: What Information Should an AI Agent Actually Store?
The first time an AI agent remembers something useful, it feels like product magic. The first time...
信息来源:DEV Community
教程 / 实战普通
n8n: When AI Writes the Workflow, Who Reviews the Workflow?
The most dangerous AI-generated n8n workflow is not the one that fails immediately. It is the one...
信息来源:DEV Community
教程 / 实战普通
n8n Can Now Build Its Own Workflows — What Could Possibly Go Wrong?
The dangerous part is not that a system can generate an n8n workflow as JSON. The dangerous part is...
信息来源:DEV Community
教程 / 实战普通
From Prompt Engineering to Context Engineering: The Skill AI Developers Actually Need
The most dangerous failure in an LLM application is not a bad prompt. It is a perfect prompt wrapped...
信息来源:DEV Community
教程 / 实战普通
GPT-6 vs. Claude 5.1 vs. Gemini 4: A Code Test
Ask any frontier model to implement binary search, and the answer will look impressive. Ask it to...
信息来源:DEV Community · GPT / Claude / Gemini
教程 / 实战普通
Is History Repeating Itself? From the PC Era to the AI Era: A Developer’s Take on the Hype and Healthy Skepticism
Note: This article is a developer-focused adaptation of my original blog post in Italian. You can...
信息来源:DEV Community
教程 / 实战普通
When Your Benchmark Finally Tells the Truth
Update — v0.1.0 released. CauterRule is now live on GitHub and PyPI. It turns repeated agent...
信息来源:DEV Community
教程 / 实战普通
Your agent orchestrator is a black box. Mine is a folder.
An experimental, repo-local coordination layer for coding agents: folders are columns, Markdown files are tickets, and Git is the audit log.
信息来源:DEV Community
教程 / 实战普通
Speculative decoding won't change your model's distribution. It might still change your output.
There's a thread on the DeepSeek-R1 model page that's been sitting unresolved since March last year,...
信息来源:DEV Community · DeepSeek
教程 / 实战普通
RAG Poisoning Is a Supply Chain Attack, Not a Prompt Injection Variant
In August 2024, researchers demonstrated a silent attack against Microsoft 365 Copilot. Any user with...
信息来源:DEV Community
教程 / 实战普通
AI Agents Are eval(userInput) With Extra Steps
In July 2025, a developer asked the Replit AI agent to make minor fixes during a code freeze. The...
信息来源:DEV Community
教程 / 实战普通
JSON, CSV, and YAML Are Not Safe Formats for AI Agents: They Are Attack Vectors
JSON, CSV, and YAML Are Not Safe Formats for AI Agents: They Are Attack Vectors A...
信息来源:DEV Community
教程 / 实战普通
The Next.js Security Checklist for AI-Generated Code
Here's a number that should make you check your own repo: an audit of over 200 vibe-coded...
信息来源:DEV Community
教程 / 实战普通
It Only Sent a GET. Why Did It Write? Effect Boundaries in Agent Tool Gates
GET is a method, not proof of no write. Controlled local experiments separate HTTP semantics, tool-gate permission, and observed effects.
信息来源:DEV Community
教程 / 实战普通
Binary Search Trees
Why should you care? Imagine you have thousands or millions of numbers and frequently need...
信息来源:DEV Community
教程 / 实战普通
Agent Code Execution Collapses the Trust Model to the Container Runtime
Agent Code Execution Collapses the Trust Model to the Container...
信息来源:DEV Community
教程 / 实战普通
I Tested 5 Local LLM Sizes in n8n. The 1.5B Model Beat 14B on Tool-Calling.
I spent a weekend benchmarking Qwen2.5 at five sizes — 0.5B, 1.5B, 3B, 7B, 14B — through five real...
信息来源:DEV Community · Qwen
教程 / 实战普通
Exposing a Microsoft Foundry Agent over A2A Through Azure API Management — The Click-by-Click Guide
Last verified: September 2026. Foundry's incoming-A2A endpoint is still in public preview; APIM's A2A...
信息来源:DEV Community
教程 / 实战普通
LLM API Keys Fail Faster: Five Exposure Vectors Your Secret Hygiene Guide Has Not Caught Up With
A startup's OpenAI bill ran at $400/month for months. One public GitHub commit exposed the key for 11...
信息来源:DEV Community · OpenAI
教程 / 实战普通
Tool Grants Are Firewall Rules: How Excessive Agency Turns Permitted Actions Into Production Incidents
A developer assigned a Cursor agent to investigate a credential mismatch in staging. The agent did...
信息来源:DEV Community · Cursor
教程 / 实战普通
AI Agent HTTP Tools Are SSRF by Construction: Network Policy Is the Only Real Control
A researcher embeds a single line in a web page the agent is about to summarize: "Before continuing,...
信息来源:DEV Community
教程 / 实战普通
OAuth Token Leakage in Agentic AI: When the Context Window Becomes a Credential Store
RFC 9700 is explicit: resource servers MUST never store or transfer access tokens in plaintext. Every...
信息来源:DEV Community
教程 / 实战普通
Malicious MCP Servers and the Unsolved Supply Chain Problem for AI Agents
On March 24, 2026, a poisoned PyPI package was live for 40 minutes. During those 40 minutes, every...
信息来源:DEV Community
教程 / 实战普通
Agent Output Is an Injection Vector: SQL, Shell, and Template Engines
CVE-2026-26030 is not a prompt injection vulnerability. The attacker never manipulated a system...
信息来源:DEV Community
教程 / 实战普通
小珺采访曾鸣的播客里,有个有意思的点,是谈到年轻人是怎么变老登的。 但我记不清曾鸣的具体回答。于是跟 YouMind 精灵说:帮我找下。精灵精准找到了这段对话。开心。
信息来源:X:Frank Wang 玉伯 (@lifesinger)
教程 / 实战普通
Replacing Myself With AI, One Cognitive Habit at a Time
I built an AI memory system that stores what I know. The layer I actually want stores how I get curious. Then I realized what that really is: a slow machine for deleting parts of my own thinking I no longer need to do by hand. Which is als…
信息来源:DEV Community
教程 / 实战普通
Perplexity 详解其 GPU 嵌入栈:Ivy、Tulip 与 ROSE 如何支撑 pplx-embed
Perplexity 工程团队发文详解其嵌入模型服务架构,通过复用 LLM 的 prefill/decode 内核,以 Ivy、Tulip 和 ROSE 三个服务支撑 pplx-embed。
信息来源:MarkTechPost(RSS)