AI Intelligence Archive
浏览 AIQB 已保存的 6389 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 134 / 160 页 · 每页 40 stories
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How AI context compression actually works, part 1
I build Compresso, a local AI compression layer, using different techniques like Headroom, Rtk and...
Source: DEV Community
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Beyond Vibes: Architecting Closed-Loop AI Agents with Local SLMs, Deterministic Evals, and Human Learning Loops
How to build a production-grade drafting agent on local SLMs (Llama 3.2 3B) using deterministic Python verification, tri-state guardrails, QWK-calibrated evals, and continuous few-shot learning.
Source: DEV Community · Llama
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Your AI context gets worse the longer you work
I had my own infrastructure context server running behind my editor, the way I do every day, and...
Source: DEV Community
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AI Writes Locally Correct Code. Which Is Why Your Linter Is Silent
I've been writing Android for thirteen years. For the last two of them, a large share of the code...
Source: DEV Community
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The receipt should come from the person who received it
This is a submission for Weekend Challenge: Generosity Edition What I Built Every...
Source: DEV Community
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The Harness Is Not Intelligence: What Is Actually Improving in AI Agents?
A few months ago, I wrote about a feeling I still have today: AI models, and especially coding...
Source: DEV Community
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HealthMitra: An AI Voice Health Companion for India, Built in 10 Days
How I built HealthMitra, a Hindi/English voice agent for India's health-access gap, on LiveKit and Murf Falcon — plus three real bugs it took to get the multi-agent handoffs working.
Source: DEV Community
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I parsed 76,801 lines of my own Claude Code history. Three things nearly broke my parser.
Claude Code writes every session to ~/.claude/projects as JSONL. I wanted to know what I'd actually...
Source: DEV Community · Claude
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13 of 14 Models Write Messier Code Than the Human Who Fixed the Same Bug
We measured whether AI-written code is messier than human-written code, across 500 real bugs where a...
Source: DEV Community
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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