AI 教程与实战
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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教程 / 实战普通
I got tired of losing good jobs to timing, so I built a pipeline that scores LinkedIn listings against my CV and emails me the best matches
A job posting gets 200+ applicants in 48 hours. By the time LinkedIn's daily digest hits your inbox,...
信息来源:DEV Community
教程 / 实战普通
Your system prompt isn't instructions. It's data.
Four measured findings from tuning a 31B model's 680-line system prompt, including the six rebuilds I wasted on a bug that never existed.
信息来源:DEV Community
教程 / 实战普通
Your text-to-SQL agent picks tables before security runs. Here’s the fix.
I build text-to-SQL agents on Oracle and Postgres for a living. Every one of them had the same bug,...
信息来源:DEV Community
教程 / 实战普通
AI Search Traffic Is Concentrated and Volatile, Previsible’s 6.77M-Session Study Finds
AI discovery is growing, but it is neither evenly distributed nor reliably predictable. Previsible’s...
信息来源:DEV Community
教程 / 实战普通
Why Your Machine Learning Model Performs Well but Fails in Production
A machine learning model can achieve 95% accuracy during development and still perform terribly after...
信息来源:DEV Community
教程 / 实战普通
A*-Thought-V2:用 LLM 几何动力学实现高效潜在推理
A*-Thought-V2 将思维链建模为隐藏状态轨迹,通过显式-隐式交错潜在架构替代硬删除,用 3D PCA 空间中的方向角判断推理步骤去留。在 Qwen3.5-9B 和 Qwen3.6-27B 上,该方法平均准确率最高提升 2.6%,响应长度缩短近一半,Accuracy per Computation Unit 提升 2.29 倍,预处理和训练时间分别减少 94.6% 和最高 80.3%。
信息来源:HuggingFace Daily Papers(社区热门论文) · Qwen / Hugging Face
教程 / 实战普通
Why Code Diffs Are Not Enough for AI Agent Changes
A pull request changes three lines in a prompt. The source diff is tiny. The resulting agent run adds...
信息来源:DEV Community
教程 / 实战普通
How We Cut AI Agent Token Usage by 85% with Local MCP
In Part 1, we gave our coding agent infinite memory. Here is how we used that retrieval...
信息来源:DEV Community
教程 / 实战普通
Temperature 0 Isn't Deterministic: Why Your LLM Still Drifts
Temperature 0 isn't deterministic. Here's why the same prompt returns different text, and how to stop your LLM tests from flaking.
信息来源:DEV Community
教程 / 实战普通
Meet PATerminal: a terminal app from Japan for Claude Code, Codex, and parallel AI work
I'm a software engineer based in Japan. The progress of LLMs and tools like Codex and Claude has been...
信息来源:DEV Community · Claude
教程 / 实战普通
An AI agent is just a while loop. I built one in 70 lines of Python, then tricked it into leaking my .env
Every framework, every job posting, and about half of LinkedIn wants to tell you what an "AI agent"...
信息来源:DEV Community
教程 / 实战普通
Good Friction
Executive summary Something happened in July 2026 that has not yet been absorbed by the people who...
信息来源:DEV Community
教程 / 实战普通
Open-weights LLMs vs frontier APIs: when to rent, when to own
Most AI products start on a frontier API and stay there until the bill, the latency or legal forces a...
信息来源:DEV Community
教程 / 实战普通
Testing the Untestable: A Regression Suite for a Coin Flip
How do you regression-test a system that can answer differently twice? Part 8 findings of an...
信息来源:DEV Community
教程 / 实战普通
AI Coding Agents With Project Memory: 3 Months and 500 Lessons Later
Back in June I wrote that AI coding agents need project memory, not just bigger prompts. The idea was...
信息来源:DEV Community
教程 / 实战普通
AI Generated pixel art needs a build system, not better prompts
I rebuilt my tiny homage to Warhammer 40k this week. The original, Hive City Rampage, was a...
信息来源:DEV Community
教程 / 实战普通
Sayto
Why ? I’ve always been interested in how we use language technologies, especially when...
信息来源:DEV Community
教程 / 实战普通
Nobody Checks Whether the Guardrail Is Running
Every AI-and-engineering post right now is about adding a guardrail. Lint rules the agent can't...
信息来源:DEV Community
教程 / 实战普通
How we prepared voice cloning TTS to run on-device
We trained a text-to-speech model with voice cloning that fits into 100 MB (fp16) and runs on-device...
信息来源:DEV Community
教程 / 实战普通
Marketing ZenStack on Reddit Accidentally Became a Product
About once a week, a thread shows up in r/node or r/typescript that ZenStack is a genuinely good...
信息来源:DEV Community
教程 / 实战普通
How to Build a Solo Developer Studio with Composable MCP Servers
Combine local session memory and community distribution into a closed-loop workflow that...
信息来源:DEV Community
教程 / 实战普通
How to Write Better Technical Posts with MCP
Research community discussions, stage drafts from your terminal, and keep your articles in...
信息来源:DEV Community
教程 / 实战普通
GPT-6 Astra Just Shipped. The Real Opportunity Isn't the Model — It's Everything Around It
Originally published on iHateReading Under the Hood OpenAI shipped GPT-6 Astra this week,...
信息来源:DEV Community · OpenAI / GPT
教程 / 实战普通
How to Give Your AI Coding Agent Infinite Memory
Stop blowing context windows on historical chat logs. Index your agent's local session tapes...
信息来源:DEV Community
教程 / 实战普通
MG Ship 推出 AI 路线优化与承运商选择模块,物流部署回报加速
MG Ship 推出 AI 路线优化与承运商选择模块,面向全球零售商和商业托运人,在国际贸易通道上结合自动化路由算法与承运商推荐系统。该部署正值企业供应链运营商报告物流部署在成本和时间上实现快速回报之际。
信息来源:Artificial Intelligence News(网页)
教程 / 实战普通
Devlog - Skillviewer
1. Foundation I'll start off with the problem statement. The initial objective of the...
信息来源:DEV Community
教程 / 实战普通
Comparing Open-Source LLM Gateways in 2026 to Run Enterprise AI at Scale
If your applications are already using multiple AI providers, the next problem is usually not model...
信息来源:DEV Community
教程 / 实战普通
How to build a pitch deck triage agent with LangGraph and Nango
In this guide you will build an AI agent that reads pitch-deck emails from Gmail, judges each deck...
信息来源:DEV Community
教程 / 实战普通
LTAP 如何打破 40 年数据库规则,统一 OLTP 与 OLAP 工作负载
Databricks 提出 LTAP 架构,打破数据库领域延续 40 年的 OLTP 与 OLAP 分离规则,将两类工作负载统一到单一系统。该方案由 Jonathan Katz 主导,旨在消除传统上事务处理与分析处理之间的数据复制和架构割裂,让同一份数据既能支撑实时事务又能进行复杂分析。LTAP 的核心价值在于简化数据栈,降低运维复杂度和端到端延迟。
信息来源:Databricks:Blog(RSS)
教程 / 实战普通
How I Directed an AI Agent Through 3 Real Architecture Decisions, and What I Learned
In two weeks, I built Retro Dynamics Agent, an app that generates retrospective activities for teams,...
信息来源:DEV Community
教程 / 实战普通
Small Language Models in Practice: What I Learned from Testing Qwen and ModernBERT in RSSMonster
I have always liked RSS because it gives me a easy way to decide for myself which sources I want to...
信息来源:DEV Community · Qwen
教程 / 实战普通
EU Digital Services Act Guidelines Raise the Bar for Safer Design for Minors
The European Commission is sharpening its approach to digital features that can keep children online...
信息来源:DEV Community
教程 / 实战普通
Catching Cross-Language Copy-Paste Debt with Static Analysis and AI Pair-Programmers
How static analysis and AI pair-programmers caught copy-paste debt across 220 languages that linters missed.
信息来源:DEV Community
教程 / 实战普通
Mastering Free Autonomous Agents: Self-Hosting Hermes with OpenRouter
Introduction to Self-Hosted AI Agents For years, developers have faced a frustrating...
信息来源:DEV Community
教程 / 实战普通
Hypergraph or Hyperbolic Graph? They Are Two Different Axes, and Only One of Them Ships
These two get used interchangeably in agent-memory discussions, and they are not the same idea. They...
信息来源:DEV Community
教程 / 实战普通
7 Collaboration Platforms for Humans and AI Agents in 2026
I've noticed a shift in how software development teams work over the last couple of years. AI used...
信息来源:DEV Community
教程 / 实战普通
Why Your Persian Chatbot Answers the Wrong Question
A zero-width non-joiner, an Arabic yeh and three digit sets turn one word into several strings — and nothing in your logs will tell you.
信息来源:DEV Community
教程 / 实战普通
Building 3 AI Agents on a $0 Budget: What I Learned About Tool-Use, RAG, and Code Execution
Why I built this I'm a CS graduate preparing for a Data Science/AI master's application,...
信息来源:DEV Community
教程 / 实战普通
What If One Boring Specialist Agent Beats Your Swiss-Army Bot?
I built a "do-anything" agent. It could search the web, edit files, send Slack messages, open PRs,...
信息来源:DEV Community
教程 / 实战普通
Claude Code permissions: how allow, ask, and deny actually compose
Every Claude Code user builds a permission policy, most without noticing. Each time you answer a...
信息来源:DEV Community · Claude