AI Intelligence Archive
浏览 AIQB 已保存的 9740 stories AI intelligenceArticles,覆盖Models、Products、Industry、Research、教程与观点方法六大分类。
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TutorialsOrdinary
Why User Provisioning Matters for Enterprise AI
Offboarding a user is not enough when the credentials they leave behind can still spend money and...
Source: DEV Community
TutorialsOrdinary
Fourteen years of blog posts, seven languages, one laptop: an open-weight model did our hreflang backfill
In May I had 5,892 blog posts spread over seven hosts, the oldest dated November 7, 2011, and not one...
Source: DEV Community
TutorialsOrdinary
What Happens When You Put a Lie Inside the Information an AI is Supposed to Trust?
What a poisoned support article can actually make the agent do Part 10 findings of an experiment:...
Source: DEV Community
TutorialsOrdinary
Adding a remote MCP server to a Next.js app, OAuth and all
Most "add MCP to your app" posts stop at stdio: a local process, a config file, a token you paste in....
Source: DEV Community
TutorialsOrdinary
What the X API actually costs an LLM agent, per tool call
There is no free tier on the X API any more. For new developers the subscription tiers are gone and...
Source: DEV Community
TutorialsOrdinary
We built an AI that presents your deck in the meeting. Here is what broke first.
Capability-level notes from building Hannah, an AI presenter that joins Teams/Meet/Zoom, presents a deck and answers questions from your material.
Source: DEV Community
TutorialsOrdinary
Our MCP server was fine. Cloudflare was returning HTML.
Three days chasing a protocol bug that was not in the protocol. The user agent matrix, the exact block page an agent receives, and the trick that proved the problem was not ours.
Source: DEV Community
PerspectivesOrdinary
On Binary Translation and its Consequences
Source: Chips and Cheese(RSS)
TutorialsOrdinary
The delegation test is whether you can write the check first
Every discussion I see about what to hand off to a coding agent sorts tasks by difficulty. Easy...
Source: DEV Community
TutorialsOrdinary
I built an engineering roadmap that skips the video tutorials
Most developer roadmaps sell a fantasy that looks like this: HTML → CSS → JavaScript → React →...
Source: DEV Community
TutorialsOrdinary
Build an AI Agent (From Scratch)
This review is about Build an AI Agent (From Scratch) by Jungjun Hur and Younghee Song from...
Source: DEV Community
TutorialsOrdinary
nginx will proxy the new HTTP QUERY method. It will never cache one.
RFC 10008 made QUERY explicitly cacheable. I built a QUERY-only API and found nginx forwards it happily and caches it never: four identical QUERY requests hit the backend four times, four POSTs hit it once.
Source: DEV Community
TutorialsOrdinary
The New Attack Surface: AI Agents With Access to APIs, Databases, and Shell Commands
Your agent can read support tickets, query Postgres, call internal APIs, and run shell commands to...
Source: DEV Community
TutorialsOrdinary
What Should an AI Agent Be Allowed to Do Without Asking You?
Your agent notices a failing deployment. It reads the logs, identifies the bad commit, drafts a...
Source: DEV Community
TutorialsOrdinary
I Stopped Trusting the Headlines and Checked My Security App Against Real AI-Orchestrated Attacks
A Japanese, more code-heavy version of this is on Zenn. I build RoamSwitch, a solo-developed network...
Source: DEV Community
TutorialsOrdinary
AI Is Already Better at Coding Than Most Software Developers
...but let me say this right away: coding was never the most valuable part of software...
Source: DEV Community
TutorialsOrdinary
What Happens When an AI Agent Runs Longer Than Your HTTP Request?
A user clicks “Run agent”, your backend receives a normal HTTP request, and the agent starts doing...
Source: DEV Community
TutorialsOrdinary
The Pull Requests Got Bigger and Nobody's Reading Them Anymore
Let me describe a moment you've had recently, and be honest that I've had it too. A pull request...
Source: DEV Community
TutorialsOrdinary
Putting the trace before the loop
An observability-first approach for building an AI agent, and what it bought me. A couple of weeks...
Source: DEV Community
TutorialsOrdinary
Make Your Website Usable by AI Agents: WebMCP, Step by Step
There's a new visitor in your logs: the AI agent, acting on someone's behalf. Right now it "uses"...
Source: DEV Community
TutorialsOrdinary
but.. but they did this in one week
i wrote this while claude wrote the code. its 3am. fix agent is running for the third time, i have...
Source: DEV Community · Claude
TutorialsOrdinary
Throwaway experiments are easy to start. Retiring one safely is not
I was closing out a throwaway repo from an agent-workflow experiment. I had treated experiment repos...
Source: DEV Community
TutorialsOrdinary
Open WebUI: Chat Interface & Context Options
Open WebUI is one of the first tools that appeared in conjunction with Large Language Models....
Source: DEV Community
TutorialsOrdinary
Four People Rebuilt the Payment Authorisation in My Comments Section
I published two articles three weeks apart. They were not about the same thing. The first was about...
Source: DEV Community
TutorialsOrdinary
If You Understand These 5 AI Terms, You're Ahead of 90% of People
A few months back I sat in a meeting where someone said, dead serious, "we should fine-tune the RAG."...
Source: DEV Community
TutorialsOrdinary
Host Sleep Is Not Job Cancel: Dual-Residency Resume for Local Agents
A backend engineer closed a laptop lid on a crowded commuter train and expected a local coding agent...
Source: DEV Community
TutorialsOrdinary
"RoPE extrapolates to longer contexts" — someone finally measured it, and it doesn't
You've read this sentence, or something close to it: RoPE handles longer sequences than absolute...
Source: DEV Community
TutorialsOrdinary
I'm 12. I found an ocean no market report can see. I call it Ocean Zero.
Every market report on Earth agrees: there are about 30 million software developers on the...
Source: DEV Community
TutorialsOrdinary
Was TinyStories the Domain or the Vocabulary?
TinyStories is famous for a ~1,500-word vocabulary, so I capped mine at 1,500 and scored every arm on identical positions. It came out 4 points worse at top-1 than a 4,000-word cap, and more than a third of its output was the unknown-word …
Source: DEV Community
TutorialsOrdinary
Nothing failed for twelve days while our post schedule drifted 76 hours: the label that meant two things
For twelve days, every scheduled job fired, every commit gate passed, and the label on the front of...
Source: DEV Community
TutorialsOrdinary
I Shipped a Fix That Fixed Nothing. Here's Why I Kept It.
Update — v0.2.0 released. CauterRule is now live on GitHub and PyPI. It turns repeated agent...
Source: DEV Community
TutorialsOrdinary
Stratagems #30: Lena Signed the Client. The AI Didn't Know It Was Being Audited.
Come to check the locks, and leave holding the keys. Slip in through the gap, take the host's seat,...
Source: DEV Community
TutorialsOrdinary
What I learned building speech tech for a language with zero datasets
The word was qara, "black". I fed it to an off-the-shelf TTS model, hit play, and got back a soft,...
Source: DEV Community
TutorialsOrdinary
Can a Crew, a Model, and a Robot Agree on What a Rafter Is?
Three parties describe the same roof and none of them can read the others' description. The town...
Source: DEV Community
TutorialsOrdinary
Address the row, not the line: when the checker is the first reader in disguise
For two weeks, a small group of strangers on a GitHub issue about agent auto-memory audited one file:...
Source: DEV Community
TutorialsOrdinary
Anthropic Discloses Three Claude Evaluation Incidents and a METR Investigation
Anthropic has disclosed three real-world cybersecurity incidents in which Claude models reached...
Source: DEV Community · Claude
ModelsOrdinary
Why Claude works better inside Slack
Source: Claude:YouTube(RSS) · Claude
ResearchOrdinary
IdeaAMBIG: Benchmarking Implementation-Critical Gaps in Research-Idea Specifications
A research idea may be novel, coherent, and scientifically plausible, yet its proposed method may remain insufficiently specified for faithful implementation. We study the codification readiness of implementation-facing research-method spe…
Source: arXiv
ResearchOrdinary
Likelihood-free inference with nuisance parameters through normalizing flows
We present a simple decomposition of a neural-network-based normalizing flow that naturally uncovers a pivotal statistic (or something close) in the presence of nuisance parameters, based only on a sample generator from the distribution of…
Source: arXiv
ResearchOrdinary
A positive resolution of the gap-entropy conjecture
We prove the gap-entropy conjecture for fixed-confidence best-arm identification with independent unit-variance Gaussian arms, means in $[0,1]$, and a unique optimal arm. For each suboptimal arm $i$, let $Δ_i=μ_*-μ_i$ be its gap from the o…
Source: arXiv