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浏览 AIQB 已保存的 9740 stories AI intelligenceArticles，覆盖Models、Products、Industry、Research、教程与观点方法六大分类。

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Section 218 / 244 页 · 每页 40 stories

TutorialsOrdinary2026-09-07 00:13

We Could Have Shipped on Local Models Alone

Update — v0.1.0 released. CauterRule is now live on GitHub and PyPI. It turns repeated agent...

Source: DEV Community

TutorialsOrdinary2026-09-07 00:07

Your Google ADK Agent Has Four Places to Put Context. Choose Carefully.

The first version of an agent usually has one place for context: the prompt. The user request goes...

Source: DEV Community

TutorialsOrdinary2026-09-06 23:57

Principal Propagation with an MCP Server on SAP BTP — End to End

A practical guide to wiring up an MCP server on SAP BTP Cloud Foundry so that an LLM agent's requests reach your on-premise ABAP system under the calling user's identity, not a shared service account.

Source: DEV Community

TutorialsOrdinary2026-09-06 23:53

I Added Circuit Breakers to a Rails App and Had to Patch the Gem Twice

📖 Originally published on meridianbuild.dev my engineering blog documenting the real bugs and...

Source: DEV Community

TutorialsOrdinary2026-09-06 23:33

JetBrains says rtk costs more. My dashboard says 11.6M saved. Both are right.

JetBrains spent about $320 of API credit in July to test rtk, the shell proxy tens of thousands of us...

Source: DEV Community

TutorialsOrdinary2026-09-06 23:27

Hybrid Search in Postgres with pgvector: Field Notes on HNSW, tsvector, and Why Pure Vector Search Missed Exact Matches

Headline: pgvector is a Postgres extension that adds vector column types and...

Source: DEV Community

TutorialsOrdinary2026-09-06 23:18

GiveRoute — Stop Dumping Donations, Route What’s Actually Needed

This is a submission for Weekend Challenge: Generosity Edition What I Built Anyone who...

Source: DEV Community

TutorialsOrdinary2026-09-06 23:10

Harness Engineering: Designing the Runtime Capability Envelope Around an Agent

"Please be careful" is not a security control An agent at a Fortune 500 financial services...

Source: DEV Community

TutorialsOrdinary2026-09-06 22:51

Here’s the trust layer I built to prevent AI's mistakes

The moment I stopped trusting the agent I built a trading agent. It worked in backtests. Clean...

Source: DEV Community

TutorialsOrdinary2026-09-06 22:47

Four versions of one translate() function

I build Connexa, a chat product for cross-language teams: you write Chinese, your teammate reads...

Source: DEV Community

TutorialsOrdinary2026-09-06 22:38

Intesta: an attested fact registry that AI agents query through MCP instead of scraping stale pages

AI agents already answer questions about small businesses. Most of the time they do it from stale...

Source: DEV Community

TutorialsOrdinary2026-09-06 22:32

Make Your Code Review Agent Write Down How the Bug Actually Happens

My review agent turned a 1,000-line feature into 4,000 lines by flagging attacks that could never happen. One required field in every finding fixed it.

Source: DEV Community

TutorialsOrdinary2026-09-06 21:50

Breeze v2: An AI-First Go Framework Built for MCP, Agents, and Distributed Systems

What if your backend wasn't just built for humans and services — but for AI agents too? That's the...

Source: DEV Community

TutorialsOrdinary2026-09-06 21:46

Dev log #20 Deleting 180k lines and chasing socket leaks: A week in the OSS trenches

Yash K Saini — Engineer, building in public — AI/ML, low-level (Rust/C/C++), and open source. GitHub...

Source: DEV Community

TutorialsOrdinary2026-09-06 21:41

AI Can Write Your Code. But Can You Explain What It Wrote?

We’re entering an era where producing code is becoming easier. Understanding what we produce may be...

Source: DEV Community

TutorialsOrdinary2026-09-06 20:05

How to Run an AI Model on Almost Any Hardware: A Practical Guide to Tiny Local LLMs

This month a developer ran a working language model on a Sony PSP-2000. That is a 333 MHz MIPS...

Source: DEV Community

TutorialsOrdinary2026-09-06 19:59

vincent v0.8.0: From Agent Conversations to Durable Workflows

I've released vincent v0.8.0, and this release pushes the project much further toward the workflow...

Source: DEV Community

TutorialsOrdinary2026-09-06 19:48

Why I Taught My AI Agent to Forget

I've spent about 700 hours in Claude Code over the last year, building a personal AI assistant that...

Source: DEV Community · Claude

TutorialsOrdinary2026-09-06 19:43

With Context Windows This Large, Why Do We Still Need Memory?

I've been reading through dev communities lately, and this exact topic keeps showing up in different...

Source: DEV Community

TutorialsOrdinary2026-09-06 19:31

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

TutorialsOrdinary2026-09-06 19:29

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

TutorialsOrdinary2026-09-06 19:14

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

TutorialsOrdinary2026-09-06 19:07

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

TutorialsOrdinary2026-09-06 17:59

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

TutorialsOrdinary2026-09-06 17:19

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

TutorialsOrdinary2026-09-06 17:01

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

TutorialsOrdinary2026-09-06 17:00

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

TutorialsOrdinary2026-09-06 16:59

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

TutorialsOrdinary2026-09-06 16:52

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

TutorialsOrdinary2026-09-06 16:42

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

TutorialsOrdinary2026-09-06 16:35

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

TutorialsOrdinary2026-09-06 16:25

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

TutorialsOrdinary2026-09-06 16:21

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

TutorialsOrdinary2026-09-06 16:17

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

TutorialsOrdinary2026-09-06 16:14

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

TutorialsOrdinary2026-09-06 16:10

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

TutorialsOrdinary2026-09-06 16:04

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

TutorialsOrdinary2026-09-06 15:04

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

TutorialsOrdinary2026-09-06 13:45

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

TutorialsOrdinary2026-09-06 13:36

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