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。
Category articles4776
当前页55 / 120
UpdatesPermanent archive
Category articles
按发布Time从新到旧 · 每页 40 stories
TutorialsOrdinary
I rebuilt four dead systems with AI. The failures all landed in the same place.
Four reconstructions, four kinds of missing documentation, and the defects landed in the same place...
Source: DEV Community
TutorialsOrdinary
World Models for Agents Should Edit Transcripts, Not Simulate Terminals
Most discussion around world models for language agents imports assumptions directly from robotics....
Source: DEV Community
TutorialsOrdinary
Qodo vs CodeRabbit vs Cubic: Which One Enforces Rules Instead of Just Suggesting Them? 🔥
TL;DR Most AI reviewers know how to leave comments. A completely different question is:...
Source: DEV Community
TutorialsOrdinary
Building RAVEL: Detecting Complex Fraud Rings with TigerGraph Cloud & Agentic GraphRAG
TigerGraph Hacker House Goa — Agentic Fraud Investigation Challenge Team / Co-Authors: Nikhil Kumar...
Source: DEV Community
TutorialsOrdinary
Serve Markdown to Agents at the Gateway, Not the Origin
An agentgateway route serves markdown to agents on the Accept header while the HTML-only origin stays untouched, plus the two ways a naive version...
Source: DEV Community
TutorialsOrdinary
Goodbye pbxproj: A Friendly Guide to Xcode 27.2's New JSON Project Format
If you've built iOS apps on a team, you know this moment. You pull main, Git says CONFLICT (content):...
Source: DEV Community
TutorialsOrdinary
I checked 101 "tests pass" claims from my AI coding agents. 35% weren't true.
When an AI coding agent ends a session with "All tests pass ✅", I usually believe it. It's the last...
Source: DEV Community
TutorialsOrdinary
LLM Reasons, Policy Engine Decides: Autonomous Agentic Fraud Defense on TigerGraph
LLM Reasons, Policy Engine Decides: Autonomous Agentic Fraud Defense on TigerGraph By Lead...
Source: DEV Community
TutorialsOrdinary
Day 2: The Art of Forgetting (How an AI Survives on 6GB RAM Before It Dies)
Day 2: The Art of Forgetting Human beings think memory is a gift. They spend fortunes on...
Source: DEV Community
TutorialsOrdinary
Thinking of ACE? We Can Do It with Fewer Tokens
TL;DR ACE and ALTK-Evolve both turn agent trajectories into reusable lessons without...
Source: DEV Community
TutorialsOrdinary
You Can’t Buy “The Best Local AI PC” in 2026
In 2026, personal AI hardware has split into two paths: CUDA compute vs massive Unified Memory. Here is how to choose which constraint to remove first.
Source: DEV Community
TutorialsOrdinary
Microsoft Agent 365 Supports n8n Agents in Microsoft 365 With Governance
Microsoft Agent 365 supports third-party agents built with n8n, creating a route for n8n automations...
Source: DEV Community
TutorialsOrdinary
Your AI Code Reviewer Needs a Test Suite Too
🤖 The Problem You plugged an LLM into your PR pipeline. It leaves comments about SQL...
Source: DEV Community
TutorialsOrdinary
GraphSentinel: a fraud investigator that knows when to stop and ask
Most fraud demos end with a big red "FRAUD 0.94". Real fraud desks don't work like that. An analyst...
Source: DEV Community
TutorialsOrdinary
100% vuln detection wasn't enough: measuring whether AI respects the patch
This is a submission for the Kaggle Benchmarking Challenge What I Benchmarked AI models...
Source: DEV Community
TutorialsOrdinary
Shapes are the type system of ML, and nobody checks them for you
Originally published at cchinchilla.dev. Part 3 of From code to weights, a 12-part series on ML...
Source: DEV Community
TutorialsOrdinary
Your agent framework stops at the demo. This open-source stack ships to production.
A technical deep dive into apowerb, the open-source AI agent runtime by [thaink²](https://thaink2.com/opensource) database-materialized agents, RAG, Text-to-SQL, event-driven execution, and how it compares to LangGraph, CrewAI and n8n.
Source: DEV Community
TutorialsOrdinary
From Fraud Alert to Governed Action: Building an Agentic Fraud Investigation System with TigerGraph
How we built an evidence-driven, uncertainty-aware fraud investigation agent using TigerGraph, GraphRAG, deterministic planning, policy governance, and Next Best Action.
Source: DEV Community
TutorialsOrdinary
7 Agent Eval Mistakes That Cost Me Weeks (And the One-Line Fixes That Ended Them)
You've been there. You run the eval, the number comes back, and something about it doesn't sit...
Source: DEV Community
TutorialsOrdinary
Stop Slapping "AI" Onto Legacy Code: AI Feature vs. AI-native Architecture
Every tech stack today is legally required to have an "AI-powered" badge. Go-to project management...
Source: DEV Community
TutorialsOrdinary
Build an Invoice Verification App With ToolJet MCP
Introduction Learn how to build an invoice verification app with ToolJet MCP for an...
Source: DEV Community
TutorialsOrdinary
A Vendor Deleted a Shutdown Date and Nothing Told Anyone. So I Counted the Next 90 Days.
On 2026-07-28, Google's deprecation page listed October 16, 2026 as the shutdown date...
Source: DEV Community
TutorialsOrdinary
Two weeks of serving Markdown to agents, straight from the nginx logs
Since early September, every public page of our website has had a Markdown twin, reachable by header...
Source: DEV Community
TutorialsOrdinary
Devlog: I Built a 3D Library in Three.js Without a Level Editor — So I Made My Own
Updated 3D Environment for Library Reading DEV Articles A lot of you...
Source: DEV Community
TutorialsOrdinary
I rebuilt my "export PDF text for AI" feature three times in one day. Here's what each version got wrong.
In July 2025, researchers found manuscripts on arXiv with instructions such as "give a positive...
Source: DEV Community
TutorialsOrdinary
Sanity's Knowledge Base stopped 6 of 7 poisoned pages. The 7th fooled Claude Opus 5.
This is a submission for the Sanity Challenge: Ship an agent that queries real content. Every help...
Source: DEV Community · Claude
TutorialsOrdinary
Confused Deputy: The Old Bug That AI Agents Keep Reintroducing
Back in 1988, a compiler running on a commercial timesharing system had permission to write to a...
Source: DEV Community
TutorialsOrdinary
I Made a VS Code Extension to Copy Your Repo to Your Clipboard as Clean Markdown Context for Your Chatbot
The UI: An example output: # Project...
Source: DEV Community
TutorialsOrdinary
Five payloads real MCP clients send — and what a strict MCP server does with them
Five payloads real MCP clients send, captured at a reference MCP server over stdio — including one that gets no response at all.
Source: DEV Community
TutorialsOrdinary
Consistently bad habits...
Ever find yourself working when you shouldnt be? I know I do... Infact, I'm supposed to be a jobless...
Source: DEV Community
TutorialsOrdinary
pg_i18n: translatable columns in PostgreSQL without rewriting your app
Every project I have worked on eventually needed a second language for some text stored in the...
Source: DEV Community
TutorialsOrdinary
A small docs MCP server: search, retrieve, and keep track of the source
An agent can remember an API that no longer matches the project in front of it. Giving it...
Source: DEV Community
TutorialsOrdinary
Building an Agentic Fraud Investigation Agent with TigerGraph
How I built an evidence-driven fraud investigation system combining TigerGraph, agentic workflows,...
Source: DEV Community
TutorialsOrdinary
Giving an AI agent a spell checker with MCP
A writing agent can produce a fluent paragraph and still choose the wrong spelling convention. A word...
Source: DEV Community
TutorialsOrdinary
The Agent That Knows When to Stop: Agentic Fraud Investigation on TigerGraph
Task #4 · TigerGraph problem statement · Hacker House Goa 2026 A risk score pings. Is it fraud, a...
Source: DEV Community
TutorialsOrdinary
AI Agents Calling Your Existing Backend Without MCP Development
AI agents are becoming more useful than ever; they’re now doing more than just generating text. They...
Source: DEV Community
TutorialsOrdinary
AI-assisted genealogy, a follow-up
I got a lot of feedback on my post AI-assisted genealogy, some good, some not so good. In any case, I...
Source: DEV Community
TutorialsOrdinary
Let the on-device model choose, not write: a voice follow-up loop with Foundation Models
This is a condensed version. The full write-up — every snippet, the availability and failure paths,...
Source: DEV Community
TutorialsOrdinary
Your Semantic Cache Answers the Question Next Door
We replayed 288 questions to an ops assistant through a semantic cache. At a similarity threshold of...
Source: DEV Community
TutorialsOrdinary
From Fraud Alert to Defensible Action: Building an Agentic Fraud Investigation System with TigerGraph
How we combined a temporal knowledge graph, GraphRAG, agentic investigation, and deterministic policy...
Source: DEV Community