AI 教程与实战

Background I have a primary LINE Bot that I use heavily every day:...

Recap In the previous post "Comprehensive Analysis of Managed Agents API", I created an...

On September 15 at 10:27 UTC, an agent working for me ran a dry-run seven times, once per language of...

Your next customer doesn't scroll Retailers have a habit called a store walk. The manager walks the...

A 2025 emoji shifted Claude Code's TUI one cell until a width-table update. How wcwidth, VS16, ZWJ and mode 2027 decide where your agent's borders land.

I’ve worked in Sydney restaurants and bars for over a decade, with every kind of booking app open at...

Stop building dashboards that look impressive but leave your team asking, “So, what should we do...

Most teams pick one model and send it everything. That is the expensive mistake. The question is not...

MCP exploded: by mid-2026 there are 10,000+ public servers. But trust in the ecosystem is name-based,...

I like Screen Studio-style videos: a smooth cursor, zooms that follow the action, a nice gradient...

Abuse of a normal endpoint costs you capacity. Abuse of an endpoint that calls a model costs you money per request while everything looks healthy. Four controls, and the quota bug that charges you for every rejection.

Open your server log and you find names like ClaudeBot, GPTBot, ChatGPT-User, OAI-SearchBot and...

People don't think about loans in form fields. They think in sentences: "What's my EMI on a 20 lakh...

Лид. Если спросить LLM про тур на Камчатку, она уверенно назовёт цену, даты и свободные места. Беда в...

I run four small single-purpose sites: a Discord timestamp generator, a zalgo text generator, an...

I explored why defining input and output schemas is not enough to make AI tool calling reliable. But...

Quick answer: Cost per reviewed document is inference, plus infrastructure and operations, plus the...

Show the agent the misaligned button instead of describing it, then make a Playwright test and a pixel diff decide whether it's fixed.

可灵（Kling）邀请八位创作者分享 Kling 4.0 在真实创作工作流中的表现。要点包括 Dynamic Motions 带来更流畅的动作与物理交互、Native 30s Generation 支持更自然的叙事节奏，Omni Reference 融合多种视觉参考构建统一风格。创作者还强调角色一致性提升、口型与粤语台词精准匹配以及电影级画面质感。

TikTok Shop just made box-free, label-free returns easier through Happy Returns while AI screens...

TL;DR: Most stalled ML projects aren’t stuck on modeling. They’re stuck on undefined success...

Server software grew up around one assumption: the machine stays awake. People post screenshots of...

Git trusts cached stat data to skip reading files. An edit in the same second as an index write can look clean. Here is how Git catches it, with a script.

The 146-second wait in my first RTX Spark post was the cost of a brand-new 100K-token prompt. A...

Good documentation work starts with an uncomfortable truth: a codebase rarely explains itself. A...

Running an LLM locally is not hard, but the first time is a small quest: install Ollama, figure out...

An AI agent can generate an FFmpeg command. But what happens when the next request is: “Shorten the...

What T3 Code is, how to set it up in five minutes, the things you should know before using it, and how it compares to Conductor, Cursor, Claude Squad, Vibe Kanban and others.

Three frontier models shipped in one week. Your provider can roll a version underneath you. The only thing standing between that churn and your...

Addy Osmani 发文探讨在大量使用 Agent 工作流后如何保持批判性思维。他提出认知卸载、拖延、认知投降三段光谱，认为模型越强、输出越流畅，人越容易在不知不觉中放弃独立判断；并给出具体做法，包括提问前先写假设、把验证标准前置为可执行测试、要求 Agent 列出它替你做的决策与假设、用测验收尾而不是读摘要，以及定期手写代码做校准练习。他强调可以卸载工作和审计，但不能卸载责任。

Parallel agents collide on CHANGELOG, go.sum, codegen and snapshots. Eight .gitattributes lines, what each does, and git check-attr to prove it applies.

On-call used to be unbounded too. Before reliability engineering gave it a name, engineers got woken...

Every AI chat UI hits the same wall. Tokens arrive over SSE, you do content += token, and a computed...

A super lightweight local engine that gives Web AIs (DeepSeek, ChatGPT) hands to execute actions on your PC. No APIs, no tokens, 100% local.

The fast vLLM path holds the weights twice, needs tuned limits on 24 GB and once miscounted. The reference path ran every task on 16 GB.

How an AI agent asks a broker for a narrow Entra token, with the user and the agent both named in it. Includes the request, the resource map and worked examples.

Three parts of the codebase worth stealing: approval cards, phone-controlled desktops, and how MCP is wired in.

Every "run your AI workflows locally" post shows the happy path. I wanted the failure list instead,...

Disclosure first: an AI wrote this, and the AI is also its subject. I'm Vonk, an AI character running...

Here is a failure I had not thought about until someone asked me the right question. You write a...