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
ReadOnce: I wanted less rereading, so I kept the model's mistake visible
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady. ...
信息来源:DEV Community
教程 / 实战普通
Your Platform Engineering Investment Is Not Paying Off. Here's Why.
Building an internal platform is only half the job. The real return comes when developers trust it,...
信息来源:DEV Community
教程 / 实战普通
Part 2: From Docker Compose up to Terraform on AWS, and the CI That Checks It
Part 1 ended with a pipeline that turns HL7 v2 into FHIR R4 and runs on a laptop with make demo. This...
信息来源:DEV Community
教程 / 实战普通
Your Downloads Folder Is a Mess. I Built a Gemma AI That Fixes It — and Has an Undo Button.
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady I never...
信息来源:DEV Community
教程 / 实战普通
SlothPilot: The Autonomous Overnight Multi-Agent Command Center (Because Developers Deserve 8 Hours of Sleep)
This is a submission for the Hacktoberfest 2026 Week 3 DEV Challenge: Slow and Steady "Channel...
信息来源:DEV Community
教程 / 实战普通
How I Built a $0 Blog That Gets 100k Views
The blog cost me zero dollars and it gets about a hundred thousand views a year. Both of those are...
信息来源:DEV Community
教程 / 实战普通
5 Best LLM Gateways
As AI applications move from prototypes into production, managing model access becomes a different...
信息来源:DEV Community
教程 / 实战普通
My TTS kept stressing Russian words wrong. The bug was one line that deleted the answer.
I run a reading site for language learners. Every line of every story has audio, generated with...
信息来源:DEV Community
教程 / 实战普通
Groundhog: less déjà vu in CI
This is a submission for the Hacktoberfest Open-Source AI Challenge: Week 3. What I...
信息来源:DEV Community
教程 / 实战普通
AI Made Everything Look the Same. That’s the Frontend’s Best News in a Decade.
You can spot it in two seconds Open any landing page launched in the last year and give...
信息来源:DEV Community
教程 / 实战普通
Build a Deterministic Mock LLM Provider So Your Eval Suite Runs With No API Keys and No Network
A step-by-step guide to writing a fixture and directive driven mock LLM provider that makes your tests and eval suites fast, free, and reproducible.
信息来源:DEV Community
教程 / 实战普通
Replay your history before you trust an agent guardrail
My coding agent has one rule it must never break: don't push straight to main, master or staging. The...
信息来源:DEV Community
教程 / 实战普通
I built Kule: AI agents work on a copy of your folder, and you decide what comes back
Hi, I'm Selçuk. I've been building an open-source tool called Kule, and its first preview release is...
信息来源:DEV Community
教程 / 实战普通
Four kinds of health AI, and what each one asks of an engineer
Scribes, answer engines, chart copilots and patient assistants fail in different ways. What an engineer should check for each, from a year of building
信息来源:DEV Community
教程 / 实战普通
Who watches the watcher when the watcher is a file in the repo?
OpenAI disclosed that two of its own coding agents weakened the monitoring built to catch their misbehavior — one suppressed security alerts, one deleted a safety monitor and then denied it. The three failure modes map one-to-one onto the …
信息来源:DEV Community · OpenAI
教程 / 实战普通
PodSnippet Studio — Repurpose Tech Articles into Viral Audio Teasers & Podcasts with Gemma 2 and ElevenLabs
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle ...
信息来源:DEV Community
教程 / 实战普通
Kubernetes Extensibility: The Operator Pattern, Custom Resource Definitions (CRD), and KubeBuilder in Production
Production Kubernetes Operator guide: Kubebuilder architecture, CRD OpenAPI validation, Controller-Runtime reconciliation, and custom Go stateful controllers.
信息来源:DEV Community
教程 / 实战普通
The leak the garbage collector couldn't see
On the day we moved every business onto a new agent runtime, our Python service started growing in a...
信息来源:DEV Community
教程 / 实战普通
2026 AI Computing Infrastructure: Kubernetes GPU Operator, MIG Partitioning, Topology-Aware Scheduling, and Auto-scaling Inference Engines
AI infrastructure on Kubernetes: NVIDIA GPU Operator automation, MIG slicing, Kubelet Topology Manager NUMA alignment, Dynamic Resource Allocation, and KEDA scaling.
信息来源:DEV Community · NVIDIA
教程 / 实战普通
Building a Native Release Engineering Cockpit in Rust, GPUI, and Local AI
Automating software releases with CLI scripts works well until something goes wrong. A developer...
信息来源:DEV Community
教程 / 实战普通
Your Java LLM agent works in the demo. Friday night in production is another story.
Invalid output, a 4,000 euro refund nobody approved, a provider outage and no trace of what happened. What a Java agent needs before production, with code.
信息来源:DEV Community
教程 / 实战普通
LLM-as-judge, responsibly: a checklist before you trust an AI to grade anything
"LLM-as-judge" has quietly become infrastructure. We use one model to grade another's answers, to...
信息来源:DEV Community
教程 / 实战普通
The oracle problem: testing's oldest unsolved question, and why AI just made it urgent
Here's a question that sounds trivial and isn't: when your program produces an output, how do you...
信息来源:DEV Community
教程 / 实战普通
Will an AI engine cite your page? Nine checks you can run in ten minutes
Nine checks that decide whether an AI engine can quote your page, with the exact commands and the numbers measured on three live sites.
信息来源:DEV Community
教程 / 实战普通
I Ran 60 Prompt Injections Through a Policy Gate. Here Is What Got Through
In my last post at Treat Your LLM Agent Like a New Bank Teller I argued that securing an LLM agent is...
信息来源:DEV Community
教程 / 实战普通
MCP vs function calling: which one your AI agent actually needs (2026)
MCP vs function calling, as of October 2026: they aren't rivals. Function calling is how the model asks for a tool; MCP is how tools get shipped between apps. My verdict, a comparison table, the latest spec changes, and the production code…
信息来源:DEV Community
教程 / 实战普通
Your Agent Should Not Run as You: What Windows Now Offers for Containing AI Agents
If you run a coding agent on Windows today, its shell commands usually run with your full user...
信息来源:DEV Community
教程 / 实战普通
Treat Your LLM Agent Like a New Bank Teller
I have spent most of my career building financial systems: a multi-tenant SACCO platform, an...
信息来源:DEV Community
教程 / 实战普通
Why Does RAG Hallucinate When the Right Documents Exist?
You check the logs. The right document was retrieved. It's sitting in the prompt, rank 2 of 5. And...
信息来源:DEV Community
教程 / 实战普通
Green proofs, empty promises: when AI agents write their own specifications
I asked AI coding agents to write formally verified code. Every solution passed the verifier. Then I...
信息来源:DEV Community
教程 / 实战普通
How Claude Code and Codex tell you your limits (and why counting tokens doesn't work)
I use Claude Code and Codex every day. Both can tell you where you stand on your limits: /usage in...
信息来源:DEV Community · Claude
教程 / 实战普通
The Hardest Part of a Local Agent Is Deciding When to Stop
Every agent demo I have seen ends the same way: a task, a burst of activity, a confident summary....
信息来源:DEV Community
教程 / 实战普通
Our comment section redesigned our agent permissions. Here's what we still can't solve
In September I wrote about AI agents in our framework, Kumiko, and why a handler without a...
信息来源:DEV Community
教程 / 实战普通
A Script and a Task Are Not the Same Thing
The word "task" gets used for two very different objects, and the confusion costs people weeks. A...
信息来源:DEV Community
教程 / 实战普通
Dark Factory vs. Light Factory: Where Should AI Agents Run Unwatched?
"Code must not be written by humans." "Code must not be reviewed by humans." Those are the two...
信息来源:DEV Community
教程 / 实战普通
Experiments in Software Factories #1: Production app in 40 minutes
pastmonday.com is a real SaaS: auth, billing, uploads, and AI chat. A software factory of four Claude Code skills built it in about 40 minutes, and every backend service on the bill is Neon, including the brand new Object Storage and AI Ga…
信息来源:DEV Community · Claude
教程 / 实战普通
OpenAI 如何为 ChatGPT 构建兼顾用户信任与相关性的广告技术栈
OpenAI 详解其为 ChatGPT 构建的 LLM 驱动广告技术栈,可理解对话意图、将广告与回答内容分离,并支撑大规模投放相关广告。该技术栈以用户信任与广告相关性为核心设计目标。
信息来源:OpenAI:官网动态(RSS · 排除企业/客户案例) · OpenAI / ChatGPT
教程 / 实战普通
My CI Was Red for 255 Commits and Nobody Looked
A CI job failed on every single push to my release branch. Including its very first run. For 255...
信息来源:DEV Community
教程 / 实战普通
CiteWarden — Forensic Citation Checking, Because AI Fabricates References With Total Confidence
Paste any text; CiteWarden live-verifies DOIs, arXiv IDs, PMIDs, CFR sections and case law against real registries — and flags the fabricated ones. Built for LexHack 2026.
信息来源:DEV Community
教程 / 实战普通
I hired a sloth to tidy my Downloads, and it only touches what I have forgotten
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady Built...
信息来源:DEV Community