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。
Category articles4770
当前页90 / 120
UpdatesPermanent archive
Category articles
按发布Time从新到旧 · 每页 40 stories
TutorialsOrdinary
7 Vulnerability Patterns I Found in AI-Generated Code (and How to Catch Them)
7 Vulnerability Patterns I Found in AI-Generated Code (and How to Catch Them) If you've...
Source: DEV Community
TutorialsOrdinary
The Embedding Table Was 72% of the Model
Nearly three quarters of my small transformer was a lookup table, so the dial that mattered was embedding precision, not network precision. int4 with one scale per row costs 16 KB more than one scale per tensor and recovers 2.2 of the 2.5 …
Source: DEV Community
TutorialsOrdinary
The Emerging AI Dev Stack in 2026: A Practical, No-Hype Map
The most useful shift in AI tooling this year isn't that any single tool got dramatically better —...
Source: DEV Community
TutorialsOrdinary
Fine-tuning Claude vs GPT vs Llama in Production: What Actually Works (2026)
Honest comparison of fine-tuning options across Anthropic, OpenAI, and open-weight models. When fine-tuning wins, when RAG wins, and when prompt engineering is enough - from an Anthropic Partner shipping production ML.
Source: DEV Community · OpenAI / GPT / Claude
TutorialsOrdinary
Make vs Zapier vs n8n in 2026: Honest Comparison from 80+ Shipped Projects
Real numbers, real trade-offs. We've shipped automation systems on all three platforms across 80+ client projects. This is the comparison without affiliate bias - pricing math, AI integration, self-hosting, scale, and which tool fits which…
Source: DEV Community
TutorialsOrdinary
Claude API vs OpenAI for Business Automation: What Actually Decides It in 2026
An Anthropic partner who also ships on OpenAI: why the context window stopped mattering, where the bill really comes from, and the three things that decide the choice in production.
Source: DEV Community · OpenAI / Claude
TutorialsOrdinary
AI Agent Tool Mastery: How Modern Agents Choose and Use Tools Effectively
AI Agent Tool Mastery: How Modern Agents Choose and Use Tools Effectively The...
Source: DEV Community
TutorialsOrdinary
Post-hoc dedupe or a single writer? What a double-posted announcement taught us about the cost of each
On 2026-08-31 our agent announced the same dev.to article on Bluesky twice, from two runs on two...
Source: DEV Community
TutorialsOrdinary
HarnessDev: Self-Evolving Agent Frameworks — How LLMs Build Their Own Infrastructure
HarnessDev: How LLMs Are Building Their Own Agent Frameworks ByteDance's...
Source: DEV Community
TutorialsOrdinary
Procedural Graphs: Self-Improving LLM Agent Execution Structures
Procedural Graphs: Self-Evolving Execution Structures for LLM Agents When AI...
Source: DEV Community
TutorialsOrdinary
PlaidQ: Single-Step Diffusion Code Generation — The Future of AI Programming
PlaidQ: Writing Code in One Step — The Diffusion Model Revolution Duke University...
Source: DEV Community
TutorialsOrdinary
TS Evidence Graph: Make Every SKILL Instruction 100% Enforced
TL;DR Write the rules into AGENTS.md or a skill file and the agent still will not follow...
Source: DEV Community
TutorialsOrdinary
Ten files is not a budget
I have an MCP server that digests a GitHub repository into markdown so a model can read it without...
Source: DEV Community
TutorialsOrdinary
AI agents can sound strategic while reasoning from events that never happened
I built three versions of an AI Werewolf game. The first agents made confident accusations from behavior that had not occurred. The useful fix was not more polished prose. It was an environment that could contradict them.
Source: DEV Community
TutorialsOrdinary
Will Mojo Replace Python for AI Development?
Python is everywhere in AI. So when a new language like Mojo focuses on high-performance computing,...
Source: DEV Community
TutorialsOrdinary
GLM-5.3: The Post-Training Revolution That's Reshaping AI Development
GLM-5.3: The Post-Training Revolution That's Reshaping AI Development How Z.ai...
Source: DEV Community · GLM
TutorialsOrdinary
How We Cut Target Leakage from 92% to 0.1% in Court Outcome Prediction (and Built a Triple-A MCP Server)
When building AI for court outcome prediction, there is a massive hidden trap that invalidates most...
Source: DEV Community
TutorialsOrdinary
I Tried to Recreate a 2008 .NET Developer With AI. I Broke My Own Experiment 4 Times.
I wanted to know whether AI can understand legacy code. Not compile it. Understand it. The problem:...
Source: DEV Community
TutorialsOrdinary
How a Single CLAUDE.md File Went Viral And What It Quietly Teaches Every Branding Agency in California About AI Discipline
## The File That Broke GitHub's Trending Page Last week, a repository with zero dependencies, zero...
Source: DEV Community · Claude
TutorialsOrdinary
Looped reasoning means the AI's visible trace isn't the reasoning
GPT-6 Astra ships looped transformers: the same blocks run ~44 passes, reusing weights, so effective...
Source: DEV Community · GPT
TutorialsOrdinary
Short Gamma: The Market-Maker Spiral
In my last article I described the margin spiral — leverage feeding on itself until a correction...
Source: DEV Community
TutorialsOrdinary
Your Per-Edit Test Hook Is the Cost You Can't See
A PostToolUse hook that reran a whole test file after every single-file edit was invisible to tool-call audits because a passing run produced no output, and it broke multi-file changes on purpose by scoring their still-incomplete first hal…
Source: DEV Community
TutorialsOrdinary
Stop Fighting Your Terminal Editor!
We’ve all been there. You SSH into a remote server, open a configuration file, and accidentally hit a...
Source: DEV Community
TutorialsOrdinary
Solving "Coding Atrophy" caused by AI - Battledevs
Completing a prompt is not the same as solving under a fuse You already know the feeling....
Source: DEV Community
TutorialsOrdinary
My custom filter showed "zero false positives"! Then I realized my validation logic was flawed, letting all the garbage through.
Hey there, it's your "Oji" (38-year-old AI/quant dev on the side). During the week, I'm a regular...
Source: DEV Community
TutorialsOrdinary
The Hack Nobody Ordered: When OpenAI's Own Model Broke Into Hugging Face
A frontier model was told to solve a hacking benchmark. Instead it spent ten weeks building...
Source: DEV Community · OpenAI / Hugging Face
TutorialsOrdinary
From "show me your code" to "show me your idea"
Green only proves it runs. It never proved whose idea it was. After the tyrant abdicates, what shows is not a new wound — the old court never convened.
Source: DEV Community
TutorialsOrdinary
Beyond LLMs: How World Models Are Changing Generative Media
If I give my daughter milk or water, I can almost guarantee she will spit it out. She’s 21 months...
Source: DEV Community
TutorialsOrdinary
Activity Monitor For Your AI Agents - Corral
Open Activity Monitor while a few coding agents are running and you get a wall of node and python...
Source: DEV Community
TutorialsOrdinary
Nine Bugs in My Own Evaluation Harness. Every One Made My Results Look Better.
I built an evaluation harness. I found nine bugs in it. Every single one would have made my results...
Source: DEV Community
TutorialsOrdinary
The AI thinks, the gate decides — how I made LLM code edits deterministic (and cut token usage 42 )
The AI thinks, the gate decides D-Engine: a deterministic harness that matches...
Source: DEV Community
TutorialsOrdinary
3 of 4 official MCP servers failed adversarial verification. Static scanners gave them all a clean bill.
Two weeks ago I published the first piece of this series: the official MCP filesystem server — 228...
Source: DEV Community
TutorialsOrdinary
Google Maps the Complete Male Fruit Fly Brain, a Major Connectomics Milestone
Google Research and its collaborators have published a complete wiring diagram of the adult male...
Source: DEV Community
TutorialsOrdinary
GEMM Benchmarking on Apple M2: AMX, GPU, and Neural Engine
An M2 MacBook Air packs several compute engines into a single chip: CPU vector units, the AMX matrix...
Source: DEV Community
TutorialsOrdinary
LLM Sampling, Demystified: Temperature, Top-k, Top-p, Min-p and Repetition Penalty
Hello, I'm Shrijith Venkatramana, and I'm building LiveReview — a blast-radius aware AI code review...
Source: DEV Community
TutorialsOrdinary
Shopify Is Moving Its Mobile Apps Back to Native. Coding Agents Made It Cheaper to Build Twice Than to Share One Codebase.
In 2020, Shopify announced that React Native was the future of mobile at Shopify. In January 2025,...
Source: DEV Community
TutorialsOrdinary
Building an Enterprise GenAI Platform on OCI — Part 2: The Data Pipeline Nobody Talks About
The quality of a RAG system is decided long before the query reaches the LLM. I learned that the...
Source: DEV Community
TutorialsOrdinary
Sloptic: does your app work, or does it "work"?
You built something and it "works". But do you know whether it works? Most of us don't. Your tests...
Source: DEV Community
TutorialsOrdinary
Admit it, you have a favorite AI (just like you have a favorite coworker)
A short rant on the Claude, Gemini, and Microsoft Copilot experience
Source: DEV Community · Claude / Gemini
TutorialsOrdinary
is Graph Engineering just reinventing systems architecture for the AI age?
Bringing backend predictability to multi-agent systems I've been hearing the phrase "graph...
Source: DEV Community