#javascriptcode

Developers Let's test you fundamentals. What's the issue with this code? #JavaScript

🚨 953 online stores infected in a stealthy malware campaign, most running Magento. Hackers injected malicious JavaScript that filters out security scanners while serving malicious code to real shoppers. How it works ↓

this guy clearly never wrote javascript

I don't see what's so scary about P = NP now if it was P == NP that would change everything

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Which programming language is best to learn as a beginner ?? 1) JAVA 2) Python 3) C++ 4) JavaScript

If you call yourself a JavaScript developer, solve this without running the code.

🚨 Polymarket temporarily halted trading after hackers compromised a third-party JavaScript service to drain users' crypto wallets. 💰 Approximately $2.5 million in cryptocurrency transfers traced to a suspected attacker wallet. The malicious script hijacked authenticated trading sessions to sell prediction-market positions and steal assets. Polymarket promises to fully reimburse affected traders.

JavaScript Quiz: What is the Output?

Introducing TanStack Redact 🌴 A smaller runtime for your existing React app. Add it to your build config and ship less JavaScript without changing a single line of application code. Works with TanStack Start, Vite, Vinext, and Next.js.

working on an instrument that turns hand drawn scribbles into sound y axis = pitch, x = time made with javascript, web audio api, roboflow RF-DETR keypoints for tracking hand movements

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The ultimate JavaScript interview question. Can you spot the bug in 5 seconds?

JavaScript Quiz: What is the Output? A) [6, 18, 12, 15] B) [6, 12, 24, 15] C) [3, 12, 24, 15] D) [6, 18, 12]

Only real developers will get this right 👀 What will this JavaScript code print? console.log(1 + "2" + 3 - 4); A) "119" B) "119 - 4" C) "119" as a string D) "119" is impossible No Googling. No running the code. Just your brain💀

We cut nearly 2 MB of compressed JavaScript across 𝚟𝟶.𝚊𝚙𝚙 and 𝚟𝚎𝚛𝚌𝚎𝚕.𝚌𝚘𝚖 using coding agents and the Next.js Bundle Analyzer. See how to trace imports, compare snapshots, and use our optimizer skill to reduce your bundles.

AI can write code in seconds. So why are companies still looking for great engineers? Because writing code was never the whole job. The real skill is knowing what to build, how to build it, and how to make it work in production. Here’s the roadmap to becoming an AI engineer in 2026 🧵 1. Master the Fundamentals Before jumping into AI, build a strong foundation. → Python, JavaScript, or C++ → Data Structures & Algorithms → OOP and problem-solving → Databases and APIs → Computer science fundamentals AI can generate code, but understanding it is what makes you a better engineer. 2. Learn Real-World Software Engineering Knowing how to code isn't enough. You need to know how to ship. → Frontend and backend development → Git and collaboration → Cloud computing → CI/CD and DevOps → System design and scalability → Security and performance This is where you stop writing code and start engineering systems. 3. Learn to Build With AI This is where the game changes. → AI coding assistants → LLM APIs and prompt engineering → Function calling and structured outputs → RAG and vector databases → AI agents and automation → Model evaluation and observability Don't just learn how to use AI tools. Learn how to build products with them. 4. Learn Production AI Engineering A demo that works once isn't a production-ready product. You need to understand: → Hallucinations and failure handling → AI security and guardrails → Testing and evaluation → Latency and cost optimization → Monitoring and reliability → Deploying AI systems at scale This is what separates AI experimenters from AI engineers. 5. Build Projects That Solve Real Problems Tutorials teach you concepts. Projects teach you engineering. Build an AI agent. Connect it to real tools. Add authentication, error handling, logging, and deployment. Then test whether it actually solves the problem. That's how you turn knowledge into experience. The biggest mistake you can make right now? Learning to prompt AI without learning how software works. AI is making coding faster, but engineering still requires judgment. The developers who thrive won't be the ones who write the most code. They'll be the ones who know what to build, understand what AI generates, and can turn it into reliable products. Learn the fundamentals. Master the tools. Build real things. That's the path to becoming an AI engineer. Save this roadmap for your learning journey.

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Python versus JavaScript. Who do you think wins?

JavaScript Quiz: 90% of the beginners answer this wrongly🤯🤯 Comment your answer 👇