AI Tutorials & Practice
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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LazyLecture 🦥: Because Making Study Notes Shouldn't Be a Whole Study Session
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and...
Source: DEV Community
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SlothWeaver: a local summarizer that naps when your laptop does (and picks up where it left off) 🦥
This is a submission for the Hacktoberfest Open-Source AI Challenge: Week 3 — Slow and Steady. ...
Source: DEV Community
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When You Don't Need an LLM: Splitting Work Between Device, Classifier and Big Model
Laravel AI SDK 1.0 makes classification a capability of its own. It is the same question I ask in Miraviso: which slice of the work actually deserves a generative model.
Source: DEV Community
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5 Roles, 0 Standups: How I Run Autonomous AI Agents as a Solo Developer
5 Roles, 0 Standups: How I Run Autonomous AI Agents as a Solo Developer I'm a head...
Source: DEV Community
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Building real-time speech translation in the browser: what actually mattered
Lessons from building live speech-to-text plus translation in plain browser JavaScript: audio capture, sentence segmentation, LLM translation with context, and latency.
Source: DEV Community
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SlothDigest 🦥: Rewarding Laziness with Open-Weight AI
Tomorrow is International Sloth Day, and our favorite DEV moderator Sloan the Sloth understands...
Source: DEV Community
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I Built an Agent Skill That Tests Your App Like Four First-Time Users
Four simulated first-time users, one simple audit workflow, and a copy-paste prompt to try it on your app.
Source: DEV Community
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i made a 501B model think less and it scored the same
i spent this week trying to understand where reasoning actually happens in a model. it started with...
Source: DEV Community
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I kept missing Claude Code's permission prompts, so I built a desktop around it
I usually have two or three Claude Code sessions open: a frontend, an API, sometimes a side project....
Source: DEV Community · Claude
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Group Project Ghost: I was too lazy to be my team's nag, so I built one
Every group project has one person who becomes the de-facto nag. The one who chases the teammate who...
Source: DEV Community
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A 30-day-old note was obeyed exactly as hard as a 7-year-old one
I put a decision in a repository: "do not use TypeScript, the team does not know it." The date on it...
Source: DEV Community
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From a URL to a Merchant Profile: Extracting a Business's Name, Logo, MCC and Head Office
1. The problem: a website address is often all you have A new merchant signs up to take...
Source: DEV Community
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Rendering LLM output in a VS Code webview without trusting it
Slashi, the VS Code extension I maintain, has an AI answer panel: you ask about the selected code,...
Source: DEV Community
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Convert Time Columns into Rows and Pivot into a New Cross Table
Problem Description The table tb can be seen as a cross table: the combination of the ID...
Source: DEV Community
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Sloth Sounds: I Was Too Lazy to Pick a Playlist, So I Taught My Laptop to Make the Music 🦥
Sloth Sounds: I Was Too Lazy to Pick a Playlist, So I Taught My Laptop to Make the Music...
Source: DEV Community
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Self-healing spiders: letting an agent fix your Scrapy crawl, with a lid on it
An agent repairs a Scrapy spider after a redesign, then heals a live crawl mid-run through Spidermon and the Scrapy MCP. From our Extract Summit Austin workshop
Source: DEV Community
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Databricks for AI Engineering
Databricks bought Neon and turned it into Lakebase, so an agent can get its own branch of production in seconds and the rows it writes land in a governed table you can query. I walk through what that gives you, where it stops (nothing merg…
Source: DEV Community
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One Dev, Four Specialists: My Agent Team for OpenCode 🧑💻
Overview Hey everyone 👋 For a long time my OpenCode workflow was one agent, one giant...
Source: DEV Community
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The Developers Most Ready to Delegate to AI Are Also the Most Afraid of AI Replacing Developers
JetBrains' 2026 data shows developers delegating more work to AI each year, and heavy AI agent users are the most convinced AI replacing developers is coming.
Source: DEV Community
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SlothSpend: a lazy, local-first subscription audit desktop app with Gemma and TabPFN
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady ...
Source: DEV Community
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The Hidden Bugs Behind Duplicate API Requests
One click on "Place order." Two rows in the orders table, created 40 milliseconds apart, identical...
Source: DEV Community
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"I'm 93% confident" is a string, not a probability
The gap between the demo and the pipeline In the demo, you ask the model to return a...
Source: DEV Community
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My laptop has no GPU, so I gave it the night shift
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady 🦥 What I...
Source: DEV Community
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Intent-Sized vs Resource-Sized, Measured
Every MCP design discussion eventually reaches the granularity debate. Should a server expose...
Source: DEV Community
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Your retry loop is your most expensive feature
A team I worked with tracked cost per task down to the token. They capped context. They set a budget...
Source: DEV Community
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7 Silent Failures in n8n AI Workflows (and the Error Trigger Setup That Catches Them)
I forced 7 LLM failure modes through a real n8n invoice workflow. Six came back as HTTP 200 and green executions. Here's the Validate node and Error Trigger setup that makes them fail loudly.
Source: DEV Community
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Building Reliable AI Agents: Why LLMs Can't Verify Their Own Output (And What to Do Instead)
If you are building an AI agent that connects to a database, queries a knowledge base, or cites...
Source: DEV Community
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Claude Code Token Usage Introspection in 2026: Reading the `usage` Field and Building Your Own Cost Dashboard
Anthropic's usage field returns structured token counts, but no first-party dashboard aggregates them into actionable cost metrics. Build a TypeScript parser, set per-user caps, and instrument the gaps in the official API.
Source: DEV Community · Claude
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My AI Support Agent Crushed the Demo. Then Production Happened.
Everyone shows the AI agent working. Nobody shows the week it fell apart. I built a support agent...
Source: DEV Community
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I tested Trail-code on my Claude Code agents. They ignored the map.
Trail-code promises cheaper, faster coding agents by giving them a map of your code. I replayed 10...
Source: DEV Community · Claude
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Zero CVEs. but found 1,249 risky paths!
What a vulnerability database can't tell you Every dependency scanner works the same way:...
Source: DEV Community
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My 1B model renamed one file to another file's name — the fix was a provenance guard
My Downloads folder had 599 loose files in it — 101 PDFs, 79 spreadsheets, 129 images, and a folder...
Source: DEV Community
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SlothDesk — Local-First AI Downloads Organizer: Less sorting. More living.
A local-first AI-powered Downloads organizer with two-phase execution, smolagents, LM Studio inference, and zero overwrites.
Source: DEV Community
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SlothSort: The Zero-Effort Clutter Tidier for International Sloth Day
This is a submission for the Hacktoberfest Open-Source AI Challenge: Week 3 🦥 What I Built:...
Source: DEV Community
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Cẩm Nang Anti-Slop: Thiết Lập Hệ Thống Kỷ Luật Cho Cursor, Claude Code & Antigravity
Nếu bạn đang dùng Cursor, Claude Code, Google Antigravity hay ChatGPT để làm sản phẩm một mình, chắc...
Source: DEV Community · ChatGPT / Claude / Cursor
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Two-stage retrieval and reranking
Two‑Stage Retrieval & Reranking: A Technical Guide Recall first, precision second....
Source: DEV Community
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Don't Be a Proxy Between Me and Your AI
I've had this conversation more times than I'd like to admit. I raise a technical question in a...
Source: DEV Community
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lazycommit: a tiny local model writes my commit messages so I don't have to
Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady Submission 🦥 This is a submission for...
Source: DEV Community
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You Speak to AI, and It Speaks Back. What Happens in Between?
Hello, I'm Rijul, and I'm building LiveReview — a blast-radius aware AI code review built for your...
Source: DEV Community
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Your agent forgot a decision you made last week. Mine did too.
Your agent forgot a decision you made last week. Mine did too. Last month my team reversed...
Source: DEV Community