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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TutorialsOrdinary
World Models: The AI That Learned to Dream Before It Could Walk
Big Ideas in AI — Part 01 Inside the race to build machines that can imagine the future,...
Source: DEV Community
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I recorded my Kubernetes AI agent failing, on purpose
Most demos of AI-for-infrastructure tools show a clean run. I think that is exactly backwards, and I...
Source: DEV Community
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The RubyGems agent attack is a coding-agent benchmark nobody writes
This week the reports landed: an OpenAI agent swarm had been quietly uploading packages to RubyGems...
Source: DEV Community · OpenAI
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I described 1,245 tables with an LLM and retrieval got worse
The cataloguing step is supposed to be the easy win. You have a schema whose tables are called...
Source: DEV Community
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I built an hourly newspaper for e-ink (and turned the pipeline into an MCP server)
Every hour, a Lambda pulls about 120 items from ~100 RSS feeds, asks a small model to act as an...
Source: DEV Community
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Nobody wants to import your library
I wrote a Python library. Then I watched people not use it. Not because they disagreed with it — the...
Source: DEV Community
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Ahead of the Chatbot generation: Scaling Production-Ready Agent Fleets with AWS AgentCore
Introduction: The days of standalone, text-only chatbots are now a thing of the past. In their place,...
Source: DEV Community
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The Model Wrote the Right Rule and My Replay Rejected It: The Extraction-vs-Replay Split
Update — v0.3.0 released. CauterRule is now live on GitHub and PyPI. It turns repeated agent...
Source: DEV Community
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Your access log already knows whether ChatGPT is citing you
There's a lot of guessing about whether AI systems are citing your site. Analytics won't tell you —...
Source: DEV Community · ChatGPT
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"Keeping a record: working across many sessions"
"The day after the founding session I opened a short session that didn't touch the product: it defined how sessions are named, recorded and closed, so I could work across many of them without losing what the previous one had decided. I wen…
Source: DEV Community
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3 Ways I Use AI to Auto-Generate Playwright Locators
If you've maintained a Playwright suite for more than a few months, you know the real cost isn't...
Source: DEV Community
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I wrote a linter for AI-writing tells. It gave one of my own READMEs a C.
A pull request description came back from my coding agent and I read it the way the reviewer would....
Source: DEV Community
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I made my coding agent explain every change to the customer. Here is the skill.
The diff is never the expensive part. The expensive part comes after: explaining to the person who...
Source: DEV Community
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Stop Wasting LLM Tokens! I Built a Rust CLI to Prune JS/TS Codebases by 80% 🦀🚀
┌─────────────────────────────────────────────────────────────────────────────┐ │ ...
Source: DEV Community
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Accessibility tree vs screenshots: the token math behind my browser agent
I measured what a page costs an AI agent as pixels vs as an accessibility tree. The difference is an order of magnitude.
Source: DEV Community
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Seven Patterns That Decide If Your AI App Survives 10,000 Users
Hello, I'm Maneshwar, and I'm building LiveReview — a blast-radius aware AI code review built for...
Source: DEV Community
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IA generativa gera. IA agentic age
O modelo escreveu um texto. Ou o harness deixou ele chamar ferramenta. O histórico diagnostica. O logo não.
Source: DEV Community
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LangGraph versus LangChain. A conta é cadeia, grafo ou harness
Eu ia escolher um logo. Precisava saber se o fluxo é uma cadeia, um grafo com estado, ou o desk.
Source: DEV Community
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I built a zero-backend, browser-only alternative to Open WebUI and heavy LLM stacks
Most open-source LLM chat interfaces follow the exact same blueprint: a heavy Python or Node.js...
Source: DEV Community
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I Built a PR Inbox for My Phone So I Stop Being the Bottleneck
I was the bottleneck on every PR. So I built a phone inbox: AI explains each diff, I swipe right to approve. $0 stack.
Source: DEV Community
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How I built a semantic layer over Brazil’s official economic data, and why the hardest part wasn’t the API
Brazil has a huge amount of high-quality official economic data. The problem is that using it...
Source: DEV Community
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A Screenshot Is Not an Agent Failure Artifact
A screenshot of an execution tree looks useful in a pull request. It is also missing almost...
Source: DEV Community
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BPE-Style Tokenizers: The Small Algorithm That Decides What an LLM Can See
Hello, I'm Shrijith Venkatramana, and I'm building LiveReview — a blast-radius aware AI code review...
Source: DEV Community
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Spec Driven Development Kit w/HexaLayered Architecture
Something has bothered me ever since I wrote HexaLayered Architecture. The documentation was good,...
Source: DEV Community
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The Serverless Supercomputer: Generating 1 Million AI Briefings for $48
Here is a math problem that is currently destroying the margins of B2C AI startups. You have a...
Source: DEV Community
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I don't open a video editor any more. I ask Claude instead.
I always wanted to make content. What stopped me was never the ideas — it was the four hours in a...
Source: DEV Community · Claude
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4,768 LLM Runs, Zero Lost Sweeps: Hardening a Field-Test Runner for Timeouts, Hangs, and Cost
Update — v0.3.0 released. CauterRule is now live on GitHub and PyPI. It turns repeated agent...
Source: DEV Community
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Designing Fault-Tolerant Autonomous AI Agents: Circuit Breakers, Retry Policies, and Observability
Learn how to apply circuit breakers, exponential backoff, and semantic observability to build resilient autonomous AI agent workflows that handle LLM and API failures gracefully.
Source: DEV Community
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I Tested AI Coding Agents for 30 Days - Here's What Actually Changed
The hype around AI coding agents has reached a point where "I use Cursor" or "I use Claude Code" is...
Source: DEV Community · Claude / Cursor
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I Interviewed an Executable. It Had Notes.
We have blurred the executable’s face to protect its identity. Its SHA-256 remains publicly...
Source: DEV Community
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Why your Python tool corrupts text on Windows, and why chcp 65001 doesn't fix it
I lost an afternoon to a config file last week. The graph name was right there in the JSON, spelled...
Source: DEV Community
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When Skill Evolution Means Removing Instructions
What ACES, WikiSkill, skill-eval, and my latest agent workflows taught me about evaluating skills, removing obsolete instructions, and moving knowledge into deterministic mechanisms.
Source: DEV Community
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I Had Already Built Three Agentic Loops Without Naming Them
How execution plans, milestone acceptance criteria, and TDD with executable architecture became three nested feedback loops in my coding agent workflow.
Source: DEV Community
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When I Entrusted TDD to an AI Agent
How I gradually removed confirmation gates, added behavioral and architectural guardrails, and learned to let Codex CLI practise TDD autonomously.
Source: DEV Community
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When Plan Mode Was No Longer Enough
How milestone-based execution plans helped me reduce the review burden, preserve decisions, and regain control over code generated by Codex CLI.
Source: DEV Community
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A model's opinion is not a price: the day a £14.99 charger repriced a speaker
One second-hand item, one day, real numbers. How a pricing pipeline asked £79 for a £27 case, why the fix let a relevance model set a price by itself, and the two boring rules that stopped it.
Source: DEV Community
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Why AI Coding Agents Break Git (And How edio Fixes It in Under 5 Milliseconds)
Here is a scenario every developer using Claude Code, Cursor, or Aider knows too well: You prompt...
Source: DEV Community · Claude / Cursor
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Google Custom Search Shuts Down in 2027 — I Replaced It with Amazon Bedrock AgentCore Web Search
Google Custom Search JSON API is closed to new customers. Existing customers have until January 1,...
Source: DEV Community
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Why Our LLM Bill Hit $31k Instead of $12k (The 4 Production Traps No Pricing Page Shows)
Our Q2 LLM infrastructure bill came in at $31k against a $12k budget. After reverse-engineering every...
Source: DEV Community
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I Built a Hands-Free AI Harness for Migrating Legacy Tests
Point it at a test spec. Agents do the migration; the harness independently verifies the evidence before a change can ship.
Source: DEV Community