#JavaScriptcode

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.

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Dark mode toggles usually rely on JavaScript, but they don't have to. In this tutorial, @jcubic explains how to build one with just HTML and CSS. You'll use radio buttons, labels, CSS variables, and more to switch themes while keeping the site usable without JS.

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Node.js 26 “Lithium” is now Long Term Support 🎉 v26.13.0 is out, with updates through April 2029. Heads-up for Linux users coming from an earlier LTS: libatomic may need to be installed separately.

JavaScript Basics

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SQL Joins

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JavaScript Array Methods Cheat Sheet for Beginners

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

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Remix 3 avoids hydrating the whole page. Instead, we only hydrate the pieces of the page that need it. This allows us to ship as little JavaScript to the browser as possible.

Remix 3 helps keep the critical path lean. The page renders as HTML, and only interactive islands ship a `clientEntry`, their chunks, and scoped data. In practice: no need to have the whole app data in the source code!

𝗖𝗔𝗡 𝗔𝗡 𝗔𝗜 𝗦𝗞𝗜𝗟𝗟 𝗥𝗘𝗔𝗗𝗬 𝗬𝗢𝗨 𝗙𝗢𝗥 𝗬𝗢𝗨𝗥 𝗡𝗘𝗫𝗧 𝗝𝗢𝗕? Getting shortlisted is only one part of the job search. The real challenge begins when you have to prove your knowledge, explain your experience, and respond confidently to unexpected questions. I explored the Interview Simulator Skill on @FinchTechAI to see how it approaches this challenge through a structured recruitment simulation. For this experiment, I created a fictional applicant and used a Junior Software Developer position as the target opportunity. 𝗧𝗵𝗲 𝗧𝗲𝘀𝘁 𝗦𝗰𝗲𝗻𝗮𝗿𝗶𝗼 Candidate: Alex Morgan Position: Junior Software Developer Organization: GlobalTech Solutions (Fictional) The sample profile included programming experience with Python, JavaScript, and Java, along with knowledge of React, Node.js, PostgreSQL, REST APIs, and two academic projects. Rather than offering a random collection of questions, the Skill transformed this profile into a structured interview preparation exercise. 𝗔 𝗙𝗶𝘃𝗲-𝗦𝘁𝗮𝗴𝗲 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻 𝗣𝗮𝘁𝗵 The simulation covered 25 questions across five professional assessment areas: 01. Professional Background & Motivation Explored personal introductions, career interests, communication abilities, teamwork, and future ambitions. 02. Programming Knowledge & Logic Covered coding fundamentals, debugging techniques, programming languages, problem solving exercises, and time complexity. 03. Practical Project Understanding Focused on software architecture, development choices, individual responsibilities, API integration, and technical challenges. 04. Workplace Judgment & Decision Making Presented situations involving prioritization, limited resources, business awareness, and handling unexpected problems. 05. Professional Maturity & Strategic Thinking Examined accountability, leadership potential, decision-making, personal strengths, and long-term career direction. 𝗜𝗻𝘀𝗶𝗱𝗲 𝗘𝗮𝗰𝗵 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻 One useful aspect was the additional context provided alongside the interview questions. The preparation material included: - The skills and competencies an interviewer wants to evaluate. - The reasoning behind asking a particular question. - Suggestions for structuring an effective response. - Example answers based on the fictional candidate. - Follow-up questions that could lead to deeper discussions. This made the experience more informative than simply reading a list of frequently asked interview questions. 𝗪𝗵𝗲𝗿𝗲 𝗧𝗵𝗲 𝗖𝗮𝗻𝗱𝗶𝗱𝗮𝘁𝗲 𝗡𝗲𝗲𝗱𝗲𝗱 𝗠𝗼𝗿𝗲 𝗪𝗼𝗿𝗸 The preliminary resume-based evaluation produced an illustrative score of 13 out of 25. The assessment breakdown was: - HR: 3/5 - Technical: 3/5 - Project Knowledge: 3/5 - Situational Judgment: 2/5 - Leadership: 2/5 It also identified several areas that needed attention, including unclear project ownership, performance claims without supporting evidence, limited professional experience, and gaps in technical preparation. 𝗙𝗿𝗼𝗺 𝗔𝘀𝘀𝗲𝘀𝘀𝗺𝗲𝗻𝘁 𝘁𝗼 𝗔𝗰𝘁𝗶𝗼𝗻 The generated recommendations provided a practical direction for further preparation: - Build a confident personal introduction within 60–90 seconds. - Improve knowledge of data structures, algorithms, and Big-O notation. - Revise core programming concepts and database fundamentals. - Prepare project explanations using the STAR framework. - Clearly describe individual contributions and support achievements with verifiable evidence. 𝗔 𝗙𝗲𝘄 𝗧𝗵𝗶𝗻𝗴𝘀 𝗧𝗼 𝗞𝗲𝗲𝗽 𝗜𝗻 𝗠𝗶𝗻𝗱 The experiment was based on a fictional resume, so the generated assessment should not be treated as a real hiring decision. The 13/25 result represented an initial resume-based estimate, not performance measured through completed live interview answers. The downloaded package also functions as an offline preparation utility. It does not provide a live voice-based interview or independently validate the candidate's qualifications. 𝗪𝗵𝘆 𝗧𝗵𝗶𝘀 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵 𝗜𝘀 𝗪𝗼𝗿𝘁𝗵 𝗘𝘅𝗽𝗹𝗼𝗿𝗶𝗻𝗴 What makes this Skill interesting is its ability to connect a candidate's listed qualifications with the types of questions they may face during recruitment. It offers a way to recognize preparation gaps, organize study priorities, and think more carefully about how to communicate professional experience. For someone preparing for a technical position, that kind of structured guidance can be a useful starting point. The process can be summarized as: 𝗣𝗥𝗢𝗙𝗜𝗟𝗘 → 𝗔𝗦𝗦𝗘𝗦𝗦𝗠𝗘𝗡𝗧 → 𝗣𝗥𝗔𝗖𝗧𝗜𝗖𝗘 → 𝗙𝗘𝗘𝗗𝗕𝗔𝗖𝗞 → 𝗥𝗘𝗙𝗜𝗡𝗘𝗠𝗘𝗡𝗧 A good interview begins long before entering the interview room. Knowing what to improve can make that preparation more purposeful. 🔹 Discover the Interview Simulator Skill: 🔹 Visit FinchTech: @FinchTechAI

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

If you want to improve your programming skills, try comparing and contrasting similar code. In this in-depth guide, Evaristo walks you through five different versions of a Rock, Paper, Scissors game in JavaScript. You'll use System Block Diagrams to analyze each project, dissect their methodologies, and learn how to build mental models.

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