AI 教程与实战

An agent opened a pull request on my repo last week. Eleven files changed, three new tests, all...

Originally written for Mautic. A developer just merged a big feature into an app repo, and 'update...

手机上触屏操作【3D + 动画】简直不要太爽！做点好玩的！ GPT-6 Astra|ZHO|开发系列

Frieda reads Confluence, Slack and ten repositories, reviews every pull request and never answers without a source. How she is built — and where we deliberately stopped.

Overview Hey everyone 👋 A few days ago Dario Amodei, CEO of Anthropic, posted a long...

Welcome to my corner of the internet! I'm Moses Amani, and recently I started an incredible journey...

AI writes good code, faster than me most of the time and usually cleaner than my first pass. I'm not...

The fine-tuning vs RAG question usually arrives as a statement: "we need to fine-tune a model on our...

A native backup client, eight seeded behaviors, and an experiment in checking software claims against eBPF, CPU samples, packets, and saved bytes.

I've been building an agent system for a while now, and one question keeps coming back the deeper I...

On Tuesday you told the assistant that the migration script must never touch the staging database. It...

Something unusual happened in AI this week. The people competing to build the world's most powerful...

The dangerous deployment instruction was gone. So was the rule that kept the database...

Hey everyone! 👋 Let's switch our perspective for a minute. 🔄 Most of the time, when we talk about...

Setting up CrewAI on a home server with three agents and a Claude editor: how agent delegation actually works, and the five setup failures on the way.

My first RAG prototype did exactly what the tutorials suggested. The API received a document, split...

五八智能的天狼 Q25 消防机器狼"防火天狼"近日完成首次实战演练，在模拟隧道火灾中身着专用隔热服穿越火场执行环境侦察任务。该机器狼可在 500°C 高温环境持续工作 2 分钟，能深入火场进行火源定位、有害气体检测和被困人员搜索，作为"先遣侦察兵"代替消防人员进入高危区域并实时回传现场信息。

Do you trust AI code? Of course you don't. Not fully. And here is the part that's easy to miss: it...

I've started noticing a look on people's faces. It's in standups, in the half-second-too-fast "yeah,...

Companies have stopped hiring, and layoffs have become more and more common. Job postings are rarely...

Someone in finance asks your text-to-SQL agent what the compensation band is for a role they're...

You can build a working AI-assisted SOC triage pipeline using only Microsoft 365 licenses you already...

A three-check method for deciding whether a dead project deserves a revival, with the Atom editor as the worked example.

GitHub's own tutorial for reviewing AI-generated code is an 8-step checklist, and almost every step...

Meta description: Configure TickDB MCP to give Claude access to live market data with millisecond...

Using agent-browser for goal-oriented UI exploration, independent assertions for verification, and turning discovered failures into cheaper regression checks.

打造你自己的本地 AI 助手 🦞 与 @huggingface、@NVIDIAAI 和 @AntLingAGI 一起，参加一场关于 Ling-3.0-flash + DGX Spark 的实战课程，包含工作流演示和 Q&A。 9 月 17 日上午 10：30（新加坡时间）/ 9 月 16 日晚 7：30（太平洋时间）https://luma.com/nl09w0gf

When I started building my AI technical interviewer, I did what most people do: I threw a big system...

Moving beyond naive prompt loops: how to build production-grade, verifiable AI agent runtimes using explicit state machines, verification gates, and deterministic replay in TypeScript.

Newly recovered data examined by Search Engine Land offers an unusually detailed view of the systems...

Most "best AI code review tool" comparisons start and end with a benchmark score. That score hides...

Seven checks that turn an opaque AI agent run into something reviewable: diff first, pinned working directory, isolated workspace, logged commands, scoped credentials, reproducible run, explicit stop reason.

It means giving the agent enough context to do the right thing For this week's Agent Factory...

I saw someone tell this story recently, so I am going by their telling of it. They were in an...

In the collective memory of personal computing, the conversation about Microsoft almost always...

Databricks 营销团队基于 Genie Agents 构建 AI 分析助手 Marge，让营销人员用自然语言提问、数秒内获得受治理的答案，数据用于决策的频率提升 3 倍。目前超过 85% 的营销组织在使用 Marge，使用量环比增长 50%，每月处理逾 800 个问题、累计回答超 5000 个，错误标记响应下降 25%，且未增加分析人员编制。

An agent that calls tools has stopped being a text generator, it's an actor. Organizations use agents...

vLLM 团队扩展 Speculators 训练库，为 2.8T 参数的 Kimi K3 训练出 DSpark 投机解码 draft 模型，将数学推理单流交互速度从约 110 提升至约 435 tok/s/user，并发负载下输出吞吐最高提升约 3.5 倍。

Descript 借助 OpenRouter 作为生产推理层，把上线模型从 1 个扩到 13 个（来自 OpenAI、Anthropic、Google、xAI 四家），评估新模型的时间从一周以上缩短到 1-2 小时，最近一次 Anthropic 新模型从发布到上线仅用几小时。团队现在每周评估多次，通过 Claude Tag 自动跑评测并提交 PR，人工只需审核。

一项研究让拟人手用同一组手指完成移动、支撑体重与环境交互，且保留原有手指设计与位置控制器。该方法用强化学习应对手指不均衡问题，并在依据硬件测量校准的模拟器中训练，其奖励公式下的移动速度快于为四足机器人调优的奖励。硬件上，任务专用策略实现了无缆爬行、转向与跌倒恢复，还能在无视觉条件下执行连续键盘指令，并借助俯视视觉反馈将物体推至目标。