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
It agreed with the reference 100% of the time. It was right 75% of the time.
Swap a cheap model in behind an expensive one and the obvious way to check it is shadow traffic: send...
Source: DEV Community
TutorialsOrdinary
How to tell if your AI agent actually got better
People keep asking me how you actually know an agent got better. I collected my answers to the most...
Source: DEV Community
TutorialsOrdinary
Latent-GRPO: Reinforcement Learning in Continuous Thought Space
When you sit down to solve a complex puzzle or plan three moves ahead in chess, do you narrate every...
Source: DEV Community
TutorialsOrdinary
Fine-tuning was the easy part: what shipping ASR for a low-resource language taught me
The fine-tune took an hour and a half on a single consumer GPU. Everything that made that hour and a...
Source: DEV Community
TutorialsOrdinary
30 of 37 games ended in repetition: what small LLMs do in chess when they don't know what to do
Ten smaller LLMs played a chess round robin live: 30 of 37 games ended in repetition. Data, lessons, and the 'kick' rule for slow thinking models.
Source: DEV Community
TutorialsOrdinary
Pipeline agents look efficient until one mistake costs you the whole run — here’s how to stop the cascade — Pipeline Pattern
I once watched a 47-minute pipeline run die because of a typo in a date field. The researcher agent...
Source: DEV Community
TutorialsOrdinary
Deploying LiteLLM: An Open-Source AI Gateway
LiteLLM is an open-source AI gateway that provides a unified, OpenAI-compatible API for over 100...
Source: DEV Community · OpenAI
TutorialsOrdinary
Deploying Langflow: An Open-Source Visual Framework for Building AI Applications
Langflow is an open-source, low-code visual framework for building artificial intelligence (AI)...
Source: DEV Community
TutorialsOrdinary
Turning Bad LLM Responses into Regression Checks with LLMCheck
A practical build note on capture, human review, replay, and knowing what a passing test actually proves.
Source: DEV Community
TutorialsOrdinary
The AI Code Review Cheat Sheet
Ten places I slow down, and the 95% of the diff I leave to the pipeline. Most of a diff deserves a glance. A small part deserves an hour.
Source: DEV Community
TutorialsOrdinary
The Philosopher Plush — a DIY AI toy that runs 100% local
Are you the kind of person who enjoys a good philosophical conversation but would rather not have to...
Source: DEV Community
TutorialsOrdinary
Road to State Machines Part I
Let's begin with a very fundamental question whose answer is not so obvious. How to design software...
Source: DEV Community
TutorialsOrdinary
Kavach: building a fraud investigator that knows when a risk score is lying
Kavach: building a fraud investigator that knows when a risk score is lying TigerGraph x...
Source: DEV Community
TutorialsOrdinary
I Compared 5 LLM Gateway Tools for Real-World Production Use
When an LLM application starts handling real users, calling a model API is usually easy. The problems...
Source: DEV Community
TutorialsOrdinary
Apartments.com Brings Media-Rich Rental Listings to Gemini and ChatGPT
Apartments.com has integrated its listing experience with Google Gemini and ChatGPT, allowing people...
Source: DEV Community · ChatGPT / Gemini
TutorialsOrdinary
What should an open agent identity standard actually standardize?
When people say we need an open standard for agent identity, I usually agree. The harder question is...
Source: DEV Community
TutorialsOrdinary
Claude Thinks, GitHub Copilot Executes: How We Structured AI-Assisted Development on a Real Project
A hands-on experience report on a structured, repeatable, AI-assisted development approach We...
Source: DEV Community · Claude
TutorialsOrdinary
TigerAttack: Building an Evidence-Grounded Fraud Investigation Agent with TigerGraph, GraphRAG & MCP
Fraud investigation is rarely a single-query problem. A suspicious transaction may look normal in...
Source: DEV Community
TutorialsOrdinary
Your LLM eval set is quietly certifying your bugs
Everyone eventually wants to build their LLM eval set from real traffic. It's the right instinct —...
Source: DEV Community
TutorialsOrdinary
Dead-Letter Replay Does Not Belong on Free Inference
Live replay of a dead-letter message is a control-plane act. Free inference should not own it. A...
Source: DEV Community
TutorialsOrdinary
Our fraud classifier scored 0.963 AUC. We threw it away.
Building an agentic fraud investigator on a 590,742-transaction TigerGraph, what a 0.963 AUC actually measured, and the number we had to withdraw.
Source: DEV Community
TutorialsOrdinary
OpenAI Products Pass 1 Billion Weekly Users: What Businesses Should Watch Next
OpenAI says its products now reach more than 1 billion weekly active users and 2.5 million...
Source: DEV Community · OpenAI
TutorialsOrdinary
A Tool Round-Trip Is Not a Load Test: A Myth-Busting FAQ
A pull request stalled on a quiet screenshot from an agent session that looked like performance...
Source: DEV Community
TutorialsOrdinary
Two Locks on a Green Build: Prompt Hashes and RSS Caps for AI C++ Evals
A patch landed with every assertion green. The return values matched the golden file. Then a latency...
Source: DEV Community
TutorialsOrdinary
Your Artifact Registry Is a Two-Way Channel for Agents
An agent's egress allowlist permits the artifact registry because builds need it. That single permitted destination is enough to run a covert...
Source: DEV Community
TutorialsOrdinary
Building Casework: An Agentic Fraud Investigator with TigerGraph and GraphRAG
A suspicious transaction starts an investigation. The harder part is deciding what evidence to...
Source: DEV Community
TutorialsOrdinary
How We Cut 70% of Multi-Agent Token Waste by Replacing Supervisor LLMs with Typed State Machines
Why supervisor LLM agents create infinite retry loops and silent token inflation, and how to replace hierarchical supervisor loops with deterministic typed state transitions.
Source: DEV Community
TutorialsOrdinary
How Teppe for Jira works under the hood
A few weeks ago I promised a technical write-up. Here it is. The two questions I get most are: how...
Source: DEV Community
TutorialsOrdinary
AI Can Remember Everything. That's Exactly the Problem.
Everyone is obsessed with making AI remember more. Nobody is working on making it forget. And that's a serious technical problem nobody talks about.
Source: DEV Community
TutorialsOrdinary
What Is AI Observability? A Definition for Engineers
AI observability is the practice of tracking what an AI system did and why. That means looking...
Source: DEV Community
TutorialsOrdinary
The Cognitive Verification Tax: Why I Built an Open-Source Visual HUD for the Era of Vibe Coding
We have officially entered the era of vibe coding. With AI-assisted editors and terminal agents like...
Source: DEV Community
TutorialsOrdinary
Why Your AI Chatbot Forgets Everything — And How to Fix It
In the last article we built a working chat endpoint. Send a message, get a reply. It felt like...
Source: DEV Community
TutorialsOrdinary
Monster Maker! It's like Daily Doodle but with 100 percent more Monsters
Disco Doodle is my hobby site — free, no-signup drawing prompt generators, a division of my little...
Source: DEV Community
TutorialsOrdinary
AMA- Do it
I had an idea, more of a stress-test really. I have been building my IDE for a few months now, it's...
Source: DEV Community
TutorialsOrdinary
Round Chat: a floating partner chat for debate rounds
This is a submission for the Sanity Challenge, Path Two: Vibe-Code Something Strange What I...
Source: DEV Community
TutorialsOrdinary
Your Claude Code session as a 25-second timelapse (and the timestamp that lied)
Claude Code writes every session to disk as JSONL: one line per message, tool call and result, and a...
Source: DEV Community · Claude
TutorialsOrdinary
Per-Agent Cost Tracking for Multi-Agent AI on AWS
I spent a week adding per-agent cost tracing to a multi-agent AWS Bedrock and Strands crew. It returned a perfect answer, showed 200 OK, and still billed ~1.4x. Here is how to catch that silent waste, read-only and at $0.
Source: DEV Community
TutorialsOrdinary
How AI Agents Went From Buzzword to Everywhere So Quickly
I noticed it first in a Slack channel, of all places. A coworker dropped a link to some new "agent...
Source: DEV Community
TutorialsOrdinary
Progressive Disclosure: Shaping Claude Code's Output
Opus 5.5 shipped on September 22, and its replies read differently: answer first, less...
Source: DEV Community · Claude
TutorialsOrdinary
Flow — Experience the Library, Through Luminary
This is the experience I want reading with Luminary to feel like — not a feature list, but a day in...
Source: DEV Community