AI 教程与实战

Previously: 9 Bugs That All Looked Like a Working System · I Built an AI That Rewrites Its Own...

There is a ceiling on your test coverage and it is not technical. Running tests has been a solved...

My publish-pass agent hit a beat that no source label could satisfy — every relabel that cleared one automated gate tripped another, provably, by arithmetic. The fix wasn't to relabel harder; it was a recorded, attributable waiver, reserve…

I run Claude Code across eleven projects at the same time. Not eleven files. Eleven separate...

Every week someone asks which coding agent is better, and every answer is a vibe. I wanted a...

I have been building an AI-native PCB editor for a few months. Before I wrote a line of it, I did the...

Undo almost never proves what it undid Falsifier, up front: if you can point me to a real,...

Every additional agent in a chain is supposed to make the system smarter. Too often, it just makes...

Agents are getting wired to money — order food, top up credits, call paid APIs. Between 'the agent wants to spend' and 'the money moves' you need a decision layer: ALLOW / human approval / DENY, with audit.

A reported Claude Fable 5.1 prompt extraction reveals why production AI agents depend on tools, retrieval, memory policies, provenance, and application-level safeguards.

Six weeks after I fixed capture with hooks, my second brain was still confidently wrong. The nightly...

On September 1 my upstream provider repriced one of the models I depend on. Here's the part of the...

When I started in this field, I quietly believed there would come a point where I had learned enough....

I ran two Claude Code sessions against one repository and assumed the hard part was coordination. It...

Security controls in AI systems often end up duplicated across applications. One team adds prompt...

I have spent the better part of the last five years watching the relationship between developers and...

Most teams still optimise for Google alone. But large language models (LLMs) crawl and compress your...

WebLLM: The Rise of AI That Runs Directly in Your Browser For the last few years, the...

AI coding tools can write a function in seconds. The harder question is whether that function...

NLP Meaning: What is Natural Language Processing & How Does It Work? You’ve...

Here's the moment a lot of us had this year. You built an agent. It was genuinely impressive — it...

Open any engineering blog this year and you'll run into the same brag: some company merging an absurd...

Hey everyone! 👋 I just joined Dev.to recently, and I’m currently on a journey to learn web...

Classic Machine Learning Through the Eyes of an SRE, Part 10: The Finale What nine algorithms taught...

I built this after watching an AI-agent-built demo feature get wired straight to a live SMS/voice...

Here are 200 lines of the most boring code I have ever written, compressed to twelve: //...

I've been building a tool that checks whether Claude Code actually followed the rules in your...

Custom harness generation at inference time can lift LLM‑agent success rates by as much as twenty...

A flat log can tell you that five things happened. It often cannot tell you which operation caused...

AI tools are becoming part of almost every modern workflow. Developers use them for coding,...

The one place in OpenClaw's tool path where a write can still be stopped Falsifier, up...

My AI WordPress workflow helps me finish the parts of a custom WordPress build I already know how to...

Our voice agents can hand a live phone call to a human. Getting there took two rewrites, and the...

作者分享在 48GB 内存 M4 Pro Mac mini 上运行本地 LLM 的完整方案，主模型为 Qwen3.6-35B-A3B-OptiQ-4bit（约占用 20GB 内存），轻量模型为 Gemma-4-E4B，推理服务用 oMLX，通过 Tailscale 让 iPhone、MacBook 共用同一后端，并接入 Hermes、Pi、Apollo 和 Raycast。

Pessoal, eu quase mandei uma lista de 23 "vulnerabilidades" para projetos de software livre. Esses...

OpenAI announced Astra, an upcoming AI model that the company says has reached its internal threshold...

可灵 Kling AI 发布教程，讲解如何在 Kling MCP 中使用 Elements 功能，在不同镜头间保持角色身份一致，从而创作更连贯的 AI 生成故事。

阿里云发文介绍编码智能体的日志只记录发生了什么，却不显示时间和 token 花在哪里。文中给出用三条命令从 DeepSeek Harness 获取 OpenTelemetry GenAI 追踪的方法，追踪结果可在 Jaeger 或 Langfuse 中查看，附教程链接 https://click.alibabacloud.com/m/20000002968/。

⚡ Meet Minomeet: The Zero-Bot, 100% Private AI Meeting Copilot Every day, knowledge...

AWS has announced revisions to two of its most popular certifications: Solutions Architect –...