AI 资讯
How ESLint Actually Works: The Quality Gate Behind Modern JavaScript
A few days ago, I shared an article: You Don't Need Another Agent. You Need a Linter. Then I did what I do with anything I write: shared it around — a few publications, a few channels. Two reasons: First, feedback. I'd genuinely rather get roasted and fix my blind spots than stay comfortable and wrong. Second, let's be honest: reach. Every writer enjoys seeing a few more views. Most of the responses were positive. One wasn't. A publication rejected it with the reason: LOW_QUALITY Fair enough. It means there's room for improvement. Funny enough, my caffeinated 1 AM brain disagreed. Then it did what every developer does when someone says "this isn't good enough." It took that personally. So I went back and reread the article. And after the initial ego check, I realized something serious: The article talked in detail about ESLint, why it matters more in an AI-assisted world than ever. What it did not do was answer the question that actually matters: What is ESLint, how does it work, and why has half the JavaScript ecosystem quietly built its quality process around it? So let's fix that. Now, this isn't a sequel to my last piece about untangling vibe-coded code. It stands on its own — one thing, done properly . A complete teardown of ESLint: What it is How it works internally Why companies use it as a quality gate The different classes of problems it solves How plugins work How to write your own rules Where it fails Why it still beats many AI-based review systems Fair warning. This article is going to be technical. There will be syntax trees. There will be compiler concepts. There will be enough JavaScript internals to make frontend developers slightly uncomfortable. I'll try my best to keep it readable not letting it turn into another manual - which nobody finishes. Let's start with the question most people never ask. What Is ESLint Actually Doing? Most developers describe ESLint like this: It checks code for mistakes. Technically true. Also completely useless. That's
AI 资讯
So you want to buy a gaming handheld PC
Gaming handhelds are amazing. They make it so much easier to fit all kinds of games into my day. Sadly, they’re less affordable than they’ve ever been — due to an unprecedented, AI-fueled shortage of memory chips, an unforced oil crisis, rampant inflation, fallout from tariffs, and more. But that’s not going to stop you. […]
工具
6 Best Digital Notebooks (2026): ReMarkable, Kobo, Kindle
These nifty tools combine the ease of jotting notes by hand with the power of saving them digitally.
科技前沿
Cameras, sensors, and 3D body scans: All the tech helping eliminate blown calls
This World Cup, refs will use digital twins of each player to view plays from every angle.
AI 资讯
US surveillance law to expire for first time after lawmakers reject Trump’s controversial pick to lead spy agencies
The spy law known as Section 702, which authorizes the NSA and FBI's warrantless surveillance, will all but certainly expire on Friday for the first time.
安全
4 Best Floodlight Security Cameras (2026) After Thorough Testing
Light up and secure your driveway, backyard, or porch with a floodlight security camera.
产品设计
Tadka
Ship 10x more ad creative, without hiring a design team. Discussion | Link
AI 资讯
Apple says Siri AI won't suck up to you
In an interview, Apple's SVP of engineering explains how the new Siri wasn't designed to be sycophantic.
科技前沿
Pedal Electric H/T Review: A Fast, Powerful, Stylish Ebike
The pedal-assist can be jerky, but the throttle offers smooth, powerful acceleration.
AI 资讯
Verizon sent man a refurbished phone with MDM, then deleted his data remotely
Failure raises questions about how Verizon prepares refurbished phones for new users.
AI 资讯
Rocket Report: Nova moving through test campaign; SpaceX IPO launches Friday
"If I needed to fly on another vehicle, what would that look like?"
AI 资讯
Run Untrusted AI Agent Code Safely with Azure Container Apps Sandboxes
Microsoft has announced the public preview of Azure Container Apps Sandboxes. This new ARM resource type is Microsoft.App/SandboxGroups, runs untrusted code generated by agents in hardware-isolated environments. Each sandbox starts from an OCI disk image in less than a second. It can scale to thousands of instances at once and costs nothing when idle. By Claudio Masolo
科技前沿
Why Real-Life Disclosure Day Will Look Nothing Like Steven Spielberg’s New Movie
Previous landmark scientific discoveries like the Higgs boson provide a better template for what it will take to confirm whether aliens have made contact with Earth.
安全
GBA Jam 2026 — Game Boy Advance coding competition
submitted by /u/r_retrohacking_mod2 [link] [留言]
AI 资讯
Matchmakers Are Being Paid $25K to Find Trad Wives for Rich Men
Even in blue states, nonreligious tech entrepreneurs and CEOs are increasingly asking for “traditional” and “conservative” women, matchmakers tell WIRED.
开发者
How to write code for complex problems as a beginner and how to think beforehand before writing any code ?
its like i can write code of simple problems but i finds myself not so easy when it comes to the program like terminal games and i feels like i am lagging the "right thinking" before writing any code. well the thing is i completed like 22 projects from the book big book of small python projects and i am still writing codes like this https://paste.pythondiscord.com/HGNA i feels like i know python but lacks in thinking on how to approach a problem and making it run properly. and i feels like if i keep practising like this i wouldn't get any close to writing code more effectively any sooner unless i have someone to tell me the right way or i learns it from a tutor or a course or a book on how to approach and think of a problem, cuz if i were to just practise and do it on my own i would be doing hit and trials and it might take me much longer compared to if i m being taught on how to write it better. so how should i go further on now ? i just want to ask how to think when we were given a problem say we were given to make a terminal program and i always just confuse like yeah i can make it work but i still feels like i need to learn to write it neatly. i can make small programs but i want to learn how to make complicated programs or think/design beforehand on making these programs tldr; asking if it will be good to read some "tips" from somewhere or watch any lectures on thinking properly instead of just practising which i think might take "more" time for e.g. will it be beneficial to read books like "think like a progrmmer" by al sweigart ? instead of just practising and finding the neat ways on my own ? submitted by /u/TreacleFlaky2283 [link] [留言]
AI 资讯
New OpenAI Academy courses for the next era of work
OpenAI introduces three Academy courses that help people build practical AI skills, create repeatable workflows, and apply agents in everyday work.
开发者
You do your own time
There we were, a regular murderers’ row of librarians. Little Jo. Eustace. And me. Turning around in the nave of our library to greet the sound of footsteps, pistols leveled in case whoever was coming in didn’t respect sanctuary. Little Jo had a stack of books under one arm. Eustace was holding the screwdriver she’d…
产品设计
The US Is Requiring Foreign Influencers to Get Work Visas for the 2026 World Cup
FIFA announced agreements with platforms such as TikTok and YouTube that include the participation of dozens of international influencers to generate content in the three host countries.
AI 资讯
Composer Update Is Not Safe Anymore
Saturday morning. I opened Twitter and saw a tweet about the Laravel-Lang packages being compromised. My first reaction was simple: "I don't use that package." Then I opened composer.json on a project I work on and found this in require-dev : "laravel-lang/lang" : "^14.8" , "laravel-lang/publisher" : "^16.8" , That changed things. What Actually Happened The attack used laravel-lang packages as the distribution channel. And the sneaky part: the main repository branch looked completely clean. No suspicious commits, no new code. The malicious payload was pushed via git tags on forks . Most developers would not notice anything. Just a routine composer update , same as always. Once installed, the payload executed at autoload time . That means every php artisan command, queue worker, or web request running that codebase triggered the malware the moment PHP hit require_once __DIR__.'/../vendor/autoload.php' in public/index.php . Silently. No error, no red screen, nothing. The malware was a credential stealer. It searched the machine for: .env files from Laravel projects AWS access keys and session tokens SSH private keys GitHub CLI tokens NPM tokens Infrastructure secrets This is not a SQL injection that messes with your database rows. This is a key stealer that runs on your machine and takes everything it finds. Aikido Security caught it and reported it to Packagist. Packagist removed the affected versions. But if you ran composer update during that window, you were exposed. Why Supply Chain Attacks Are Different Classic Laravel security talks about SQL injection, XSS, CSRF. Those are attacks that come from outside users sending malicious input to your application. Supply chain attacks come from inside your own development process. The attacker does not need to find a vulnerability in your code. They need to compromise one developer account at one package maintainer. Every project depending on that package is now exposed. With AI tools, these attacks are getting more soph