AI Tutorials & Practice
收录 AI 工具教程、提示词、安装部署、配置指南、开发实战与可复现步骤。
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TutorialsOrdinary
The Real Cost of LLM APIs in 2026: A Developer's Field Guide
Every week someone asks a version of the same question: "How much will this actually cost me per...
Source: DEV Community
TutorialsOrdinary
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...
Source: DEV Community
TutorialsOrdinary
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:...
Source: DEV Community
TutorialsOrdinary
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,...
Source: DEV Community
TutorialsOrdinary
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...
Source: DEV Community
TutorialsOrdinary
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...
Source: DEV Community
TutorialsOrdinary
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...
Source: DEV Community · Gemini
TutorialsOrdinary
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...
Source: DEV Community
TutorialsOrdinary
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...
Source: DEV Community
TutorialsOrdinary
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...
Source: DEV Community
TutorialsOrdinary
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...
Source: DEV Community
TutorialsOrdinary
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...
Source: DEV Community
TutorialsOrdinary
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...
Source: DEV Community
TutorialsOrdinary
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...
Source: DEV Community
TutorialsOrdinary
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...
Source: DEV Community
TutorialsOrdinary
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...
Source: DEV Community
TutorialsOrdinary
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...
Source: DEV Community
TutorialsOrdinary
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...
Source: DEV Community · GPT / Claude / Gemini
TutorialsOrdinary
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...
Source: DEV Community
TutorialsOrdinary
When Your Benchmark Finally Tells the Truth
Update — v0.1.0 released. CauterRule is now live on GitHub and PyPI. It turns repeated agent...
Source: DEV Community
TutorialsOrdinary
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.
Source: DEV Community
TutorialsOrdinary
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,...
Source: DEV Community · DeepSeek
TutorialsOrdinary
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...
Source: DEV Community
TutorialsOrdinary
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...
Source: DEV Community
TutorialsOrdinary
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...
Source: DEV Community
TutorialsOrdinary
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...
Source: DEV Community
TutorialsOrdinary
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.
Source: DEV Community
TutorialsOrdinary
Binary Search Trees
Why should you care? Imagine you have thousands or millions of numbers and frequently need...
Source: DEV Community
TutorialsOrdinary
Agent Code Execution Collapses the Trust Model to the Container Runtime
Agent Code Execution Collapses the Trust Model to the Container...
Source: DEV Community
TutorialsOrdinary
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...
Source: DEV Community · Qwen
TutorialsOrdinary
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...
Source: DEV Community
TutorialsOrdinary
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...
Source: DEV Community · OpenAI
TutorialsOrdinary
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...
Source: DEV Community · Cursor
TutorialsOrdinary
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,...
Source: DEV Community
TutorialsOrdinary
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...
Source: DEV Community
TutorialsOrdinary
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...
Source: DEV Community
TutorialsOrdinary
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...
Source: DEV Community
TutorialsOrdinary
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…
Source: DEV Community
TutorialsOrdinary
NVIDIA Just Bought the Town Square of Open-Source AI for $12.9 Billion. Here Is What You Should Actually Do About It
On September 3, NVIDIA confirmed it is buying Hugging Face for $12.93 billion. The platform that...
Source: DEV Community · NVIDIA / Hugging Face
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HypeBESTIE: My Free Sincere Compliment Engine
This is a submission for Weekend Challenge: Generosity Edition What I Built Sup Dev.to! I...
Source: DEV Community