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HTML TAGS & CSS PROPERTIES
What are HTML Tags? HTML documents consist of a series of elements, and these elements are defined using HTML tags. HTML tags are essential building blocks that define the structure and content of a webpage. HTML tags are composed of an opening tag, content, and a closing tag. The opening tag marks the beginning of an element, and the closing tag marks the end. The content is the information or structure that falls between the opening and closing tags. For Example: <h1>Hello</h1> HTML Elements HTML elements are the essential components of a webpage and provide structure, organization, and meaning to content. Elements are defined by HTML tags which define how different types of content will appear in a browser window. For Example: <p> This is an element. </p> Block-Level Elements A page’s entire width is occupied by a block-level element. The document always begins with a new line. An HTML page generally has three tags i.e., <html> , <head> , and <body> tag. Example: The following is an unordered list, an example of block-level elements. List item 1 List item 2 Inline Elements A block-level element’s inner content can be formatted with an inline element by adding links and stressed strings. These elements help you to format text without disrupting the content’s flow. Example: The following code creates a hyperlink to a URL. It is an inline element because it is used within paragraphs, headings, or other text content to create hyperlinks. It does not disrupt the flow of the document by forcing new lines before or after its content. <a href="https://www.example.com"> Visit Example </a> CSS Properties CSS properties are used to decorate your web page and assign a unique behavior to your HTML element. CSS properties are the foundation of web design, used to style and control the behaviour of HTML elements. They define how elements look and interact on a webpage. Used to control layout, colors, fonts, spacing, and animations on web pages. It is essential for making web pa
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Building a Self-Healing Data Pipeline with Event-Driven Idempotence
Building a Self-Healing Data Pipeline with Event-Driven Idempotence Building a Self-Healing Data Pipeline with Event-Driven Idempotence A senior engineer’s sketchbook: a project I shipped to production that turned brittle batch jobs into resilient, observable, and self-healing data pipelines. The core idea is to treat data processing as an event-driven system with strict idempotence guarantees, automated reconciliation, and graceful recovery. The result was a measurable reduction in retry storms, faster time-to-insight for dashboards, and a foundation that scales with data volume without blowing up operator toil. Overview and motivation Problem: A data ingestion workflow relied on nightly batch jobs that often overlapped, causing late-arriving data, duplicate processing, and fragile error handling. Observability was ad-hoc, retries were uncoordinated, and operators spent days triaging failures. Solution: Reframe the pipeline around event streams with idempotent processing, push-based checkpoints, and a lightweight orchestration layer that can recover from partial failures without human intervention. Impact: 40% reduction in data latency for dashboards, 60% fewer retry-induced incidents, and a robust foundation for future scaling. Architecture at a glance Data sources emit events to a durable message bus (Apache Kafka or a cloud equivalent). A set of microservices subscribes to the stream, each performing a deterministic, idempotent transformation. A central idempotence layer guarantees that repeated events do not mutate state or produce duplicate side effects. A reconciliation service audits the target data store against the event log and replays or compensates as needed. Observability stack with per-event tracing, lineage, and anomaly detection. Key design principles Idempotence by default: Every processing step should be safe to replay. Use deterministic keys and avoid non-idempotent side effects without compensation. Exactly-once semantics where feasible: Impleme
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Building a Real-Time WebSocket-Based Chat Server with Rust and WASM
Building a Real-Time WebSocket-Based Chat Server with Rust and WASM Building a Real-Time WebSocket-Based Chat Server with Rust and WASM In this tutorial, you’ll build a scalable, real-time chat server using Rust on the backend, WebSocket for bidirectional communication, and WebAssembly (WASM) for a fast, interactive frontend. You’ll learn how to structure a minimal, production-ready system with clean code, testable components, and practical deployment considerations. Overview Goals: Real-time messaging with low latency Safe, fast backend implemented in Rust Frontend capable of connecting via WebSocket and rendering messages efficiently Basic authentication, message persistence, and reconnection handling Testing strategies for end-to-end and unit tests Tech stack: Backend: Rust, Warp or Actix-Web, tokio, tungstenite or tokio-tungstenite for WebSocket Frontend: Rust + WASM (via wasm-bindgen) or a lightweight JS client Persistence: SQLite or PostgreSQL for message history Deployment: containerized (Docker), with a simple reverse proxy (Nginx) in front Prerequisites Rust toolchain installed (rustup, cargo) Basic knowledge of Rust and asynchronous programming Node.js/npm if you choose a JS frontend (optional since you can use Rust WASM) SQLite or PostgreSQL installed locally for testing 1) System design and data model Clients connect via WebSocket and join a chat room. The server maintains in-memory state for active connections and broadcasts messages to all connected clients in the same room. Messages are persisted to a database for history. Reconnection: clients reconnect on network hiccups; server replays recent history upon join. Scalability note: for multiple instances, use a message broker (Redis pub/sub) to broadcast messages between workers. Data model (simplified) Users: id, username Rooms: id, name Messages: id, room_id, user_id, content, timestamp 2) Backend: Rust WebSocket server Key components HTTP upgrade to WebSocket Per-room broadcast hub Connection manag
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Presentation Slides for RubyConf Austria 2026 Talk "Frontend Ruby on Rails with Glimmer DSL for Web"
My talk “Frontend Ruby on Rails with Glimmer DSL for Web” went well at RubyConf Austria 2026 . Especially given that after the talk, Chad Fowler (the starter of RubyConf and famous book author of The Passionate Programmer , among other books) told me “good job”, and Obie Fernandez (a famous entrepreneur and book author of The Rails Way , among other books) told me he will try Glimmer DSL for Web because he doesn’t like React.js. Presentation Slides Direct Original Long Link: https://docs.google.com/presentation/d/e/2PACX-1vQ9oBnZpzK_eicVLGSqDmVzhsXsblONEKepnw5_xGHGXTM52JSjaS_ObYUJbx-zkb1M2ul9N2A2MnvU/pub?start=false&loop=false&delayms=60000&slide=id.g140fe579a5a_0_0 Glimmer DSL for Web GitHub: https://github.com/AndyObtiva/glimmer-dsl-web I ran a poll at the beginning of my talk, and everyone agreed that they love Ruby and that Ruby is superior to JavaScript, plus the majority indicated that they’d like to write less JavaScript and more Ruby during their Rails web development work. Several attendees told me my talk was great after the talk. Charles Nutter had me help him with his JRuby workshop afterwards by showcasing my other Glimmer project, Glimmer DSL for SWT , which runs on JRuby. In about 1 minute, I scaffolded a Hello World desktop app from scratch and then packaged it as a native executable on the Mac. Attendees were impressed. So, I’ve participated in presenting 2 events at this conference. I am very grateful for having such a great experience at RubyConf Austria 2026 overall, especially given that it uniquely included several classical/neoclassical/jazz concerts in between talks that entertained us and relaxed us. Chad Fowler concluded the conference with a beautiful Jazz piano and sax performance. Shout out to Hans Schnedlitz, Muhamed Isabegovic, and Zuzanna Kusznir (plus everyone who helped out) for organizing and hosting such a special Ruby conference!!! Original blog post version: https://andymaleh.blogspot.com/2026/06/rubyconf-austria-2026-frontend-r
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Web Security Is Everyone's Job: A Developer's Field Guide
Security is not a feature you bolt on after launch. It is not the CISO's problem alone. It is not a checklist you run through before a compliance audit. It is a shared responsibility across every engineer, every team, every layer of the stack. This guide walks through the three layers where most web vulnerabilities live — Frontend , In Transit , and Backend — using a threat modeling lens: thinking like an attacker so you can build like a defender. What Is Threat Modeling? Before writing a single line of defensive code, you need to think systematically about your system's attack surface. Threat modeling is the process of: Identifying entry points — Where does untrusted data enter your system? Form inputs, URL parameters, uploaded files, third-party APIs? Assessing potential impact — If this entry point is exploited, what can an attacker access or do? Designing defenses proactively — Before the exploit occurs, not after. It shifts your mindset from "let's hope nothing breaks" to "let's assume something will be tried." Part 1 — Frontend Security: Stopping XSS What Is XSS? Cross-Site Scripting (XSS) happens when untrusted data is rendered as executable code in a browser. An attacker injects a script; your application runs it on behalf of your users. The consequences are severe: session hijacking, credential theft, defacement, redirects to malicious sites. There are three flavours: ┌─────────────────────────────────────────────────────────────────┐ │ XSS TYPES │ ├──────────────────┬──────────────────────────────────────────────┤ │ Stored XSS │ Malicious script saved in your DB, │ │ │ served to every user who loads that data. │ │ │ Most dangerous — persistent and broad. │ ├──────────────────┼──────────────────────────────────────────────┤ │ Reflected XSS │ Script lives in a URL parameter. │ │ │ Requires tricking the user into clicking │ │ │ a crafted link. Temporary, per-request. │ ├──────────────────┼──────────────────────────────────────────────┤ │ DOM-Based XSS │ Entir
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Cursor vs Offset Pagination: A Frontend Engineer's Perspective in 2026
We talk about pagination as if it's purely a backend concern – the database does the heavy lifting, the API returns pages, and the frontend just renders them. But in 2026, that mental model is outdated. The frontend now owns more of the data-fetching lifecycle than ever: server components prefetch, client caches hydrate, optimistic updates mutate, and streaming responses trickle in chunk by chunk. The choice between cursor pagination and offset pagination has real consequences for how you write your React components, how your cache behaves, how scroll feels on the phone, and what happens when a user navigates back. This post is about those tradeoffs – from the frontend seat. The Landscape Has Changed A few things are different in 2026 that make this conversation more nuanced than it was three or four years ago: React Server Components are mainstream. Data fetching happens on the server in many apps, which shifts where pagination state lives and how navigation works. TanStack Query is the de-facto standard for client-side async state, with first-class infinite query support baked in. The "infinite scroll vs pagination" debate is mostly settled — infinite scroll wins for feeds and content-heavy apps; numbered pages win for dense data tables. Your pagination strategy should serve that decision, not fight it. LLM-powered search and filtering are becoming common, and those use cases have their own quirks around pagination stability. Edge caching and CDN-level pagination mean that certain offset-paginated responses can be cached by URL – a genuine advantage offset still holds. What Frontend Engineers Actually Care About When you strip away the SQL theory, here's what the pagination choice actually affects on the frontend: 1. Cache Key Design With offset pagination, the cache key is simple and predictable: posts?page=3&limit=20 . Every page is independently cacheable by URL — your CDN loves this. TanStack Query, SWR, and Apollo all handle this naturally. // Offset — clean,
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Server-Side Rendering vs Client-Side Rendering: What Developers Should Know
As the web has evolved, so have the strategies for rendering content in browsers. Two of the most widely used approaches today are Server-Side Rendering (SSR) and Client-Side Rendering (CSR). Each has its strengths and trade-offs, and understanding when to use one over the other is key to building fast, scalable, and user-friendly applications. This article explores the key differences, benefits, and common use cases of SSR and CSR, with practical examples. What is Client-Side Rendering (CSR)? Client-Side Rendering means that the browser downloads a minimal HTML shell and renders the content using JavaScript. Most of the work, fetching data, templating, and updating the DOM, happens in the user's browser after the page loads. Benefits Rich interactivity: Ideal for dynamic single-page applications (SPAs). Fast navigation after initial load: Once loaded, switching between views is instantaneous. Great for app-like experiences: Think dashboards, SaaS tools, or email clients. Drawbacks Slower initial page load: The user sees a blank screen until JavaScript loads and executes. SEO challenges: Search engines may struggle to index dynamic content, unless SSR or prerendering is used. Poor performance on slow devices: All rendering logic happens in the browser. What is Server-Side Rendering (SSR)? Server-Side Rendering generates the full HTML on the server for each request. When a user visits a page, the server fetches the data, compiles the HTML, and sends it to the browser, which then hydrates the app into an interactive component. Benefits of SSR: Fast time-to-first-byte (TTFB): HTML is ready and shows up immediately. Better SEO: Search engines receive fully rendered pages. Good for public-facing content: Blogs, marketing sites, e-commerce pages. Drawbacks Increased server load: Every page request triggers rendering logic. Longer time to interactivity: HTML loads quickly, but hydration takes extra time. Requires server infrastructure: Cannot be purely deployed as static f
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From Axios to alova: how we cut 80 lines to 5
Frontend request code often involves repetitive state management. This article compares Axios and alova through a paginated list example, analyzing how request strategization reduces boilerplate and when it's a good fit. The Pattern: Paginated List in Two Ways A common requirement: fetch a user list with pagination. Approach 1: Axios const [ data , setData ] = useState ([]); const [ page , setPage ] = useState ( 1 ); const [ total , setTotal ] = useState ( 0 ); const [ loading , setLoading ] = useState ( false ); const [ error , setError ] = useState ( null ); const fetchUsers = async ( currentPage ) => { setLoading ( true ); setError ( null ); try { const res = await axios . get ( ' /api/users ' , { params : { page : currentPage , pageSize : 10 }, }); setData ( res . data . list ); setTotal ( res . data . total ); } catch ( e ) { setError ( e . message ); } finally { setLoading ( false ); } }; useEffect (() => { fetchUsers ( page ); }, [ page ]); This pattern appears in nearly every data-fetching component. The actual business logic — GET /api/users — occupies a single line. The rest is infrastructure: state declarations, loading toggles, error handling, and effect management. Approach 2: alova with usePagination const { data , total , loading , error , page , pageSize , nextPage , prevPage , } = usePagination ( ( page , pageSize ) => alovaInstance . Get ( ' /api/users ' , { params : { page , pageSize }, }), { page : 1 , pageSize : 10 } ); Both implementations are functionally identical. The key difference is where the state management logic lives: in the component (Axios) vs. inside the hook (alova). What Changed Component of Axios version Handled by alova loading state + toggling Managed internally by usePagination error state + try/catch Managed internally by usePagination data state + assignment Returned as reactive value page state + change handler Built-in nextPage / prevPage total state extraction Extracted from response automatically useEffect dependency tr
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The Fastest Part of Your Stack Is Already Installed: Rethinking Web IDEs
There is a fascinating psychological phenomenon in modern software engineering: the relentless pursuit of the upgrade. As frontend developers, we are conditioned to believe that speed and efficiency come from adopting the newest technologies. We migrate from Webpack to Vite to shave seconds off our build times. We transition between UI libraries in search of better reconciliation algorithms. We constantly audit our CI/CD pipelines. We treat performance as a destination we must reach by continuously adding or swapping out the moving parts of our toolchain. Yet, amidst this endless cycle of optimization, we consistently overlook the most sophisticated, highly optimized piece of software in our entire stack. It is the software you are using to read this article right now: the web browser. The Underappreciated Engine The modern browser is an absolute marvel of engineering. Over the past decade, teams of the world's most talented systems engineers have engaged in a fierce arms race to optimize browser engines like V8, SpiderMonkey, and JavaScriptCore. Today’s browsers feature Just-In-Time (JIT) compilation, sophisticated garbage collection, and massively parallelized rendering pipelines. They are capable of executing highly complex, interactive applications with a level of fluidity that was unimaginable a few years ago. However, when we evaluate developer tools—specifically the online IDE or the browser-based code editor—there is a stark contrast. The environments we use to write and test our code rarely reflect the speed of the engine they run inside. Why the Standard Web IDE Misses the Mark If you want to quickly prototype a component or isolate a bug, you will likely reach for a frontend playground or a popular Replit alternative. What happens next is often a masterclass in friction. The environment feels heavy. The interface is cluttered with features you didn't ask for. As you type, the live code editor experiences micro-stutters. The instant live preview isn't actu
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Micro-Frontends, One Year On: The Workarounds That Made Single-SPA Reliable for Us
A year ago, I wrote about our first year with micro-frontends . It was a frank retrospective: the win was framework autonomy and independent deploys, the cost was 20 GB of RAM during local dev, 15–20 minute deploy cycles, and a monorepo that became its own coordination tax. The closing line was the honest one — if I could choose again, I would think carefully about using Microfrontend or not. This article is the follow-up the previous one didn't write: what we actually built around Single-SPA to make it work. Not the architecture diagram. The workarounds. The dead code that's not really dead. The regexes we wish we didn't need. The .NET app no Single-SPA tutorial mentions. The browser-side singletons we use as message buses. The dev experience we documented and the parts we didn't. If you're evaluating Single-SPA in 2026, this is the article I wish I'd had a year ago. Where we left off The platform is a Single-SPA monorepo with seven in-repo apps and five shared packages. On top of that sit roughly ten standalone repositories for newer features, loaded at runtime via SystemJS import maps. Shared dependencies — React 18.2, ReactDOM, axios, react-bootstrap, single-spa 5.9.5 — are served from CDN and externalized in every webpack config. The architecture is textbook. The reality, a year in, is that the textbook stops where the workarounds start. The shell isn't where you think it is If you read our frontend repo you'd conclude the shell is whatever directory has single-spa in its package.json . That's where Single-SPA gets configured. That's where start() is called. There's even a webpack entry that, until recently, was producing an index.ejs HTML template. That HTML template is dead code. The real shell — the HTML the browser actually receives, in every environment — is rendered by an ASP.NET MVC application, in a Razor view. The frontend repo ships JavaScript modules. The .NET host ships the page that loads them. That's the unlock. Once you see this, every other work
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From Specs to Tickets: Automating Jira Setup with Node.js and the Jira API
The plan was simple Take the specs we'd written, turn them into Jira epics, stories and subtasks, and start sprinting. It took longer than expected. Here's what actually happened — and what I learned. Why automate Jira setup at all? HandyFEM has 8 epics, 37 stories and ~160 subtasks. Creating that manually would take a full day and be error-prone. More importantly: the specs were already written in a structured format. Translating structured data into Jira issues is exactly the kind of repetitive task that should be automated. So I wrote a Node.js script to do it via the Jira REST API. Problem 1 — Jira Spaces ≠ Jira Classic My account uses Jira Spaces — Atlassian's newer interface. The classic Jira has CSV import built in. Jira Spaces doesn't. This isn't documented anywhere obviously. You discover it by looking for the import option and not finding it. Lesson: always check which version of Jira you have before planning your workflow. The API still works, but some endpoints behave differently. Problem 2 — The API token wasn't the issue (until it was) First attempt: connection error. I assumed it was the token. It wasn't — it was an expired token from a previous session. Regenerating it fixed the connection. The real lesson: curl -u email:token https://your-domain.atlassian.net/rest/api/3/myself is the fastest way to verify auth before running any script. Problem 3 — customfield_10014 doesn't exist in team-managed projects In classic Jira, linking a story to an epic uses a field called customfield_10014 (Epic Link). In team-managed projects (Jira Spaces), this field doesn't exist. You use parent instead. The error was clear once I saw it: "customfield_10014" : "Field cannot be set. It is not on the appropriate screen, or unknown." Fix: remove customfield_10014 , keep only parent: { id: epicId } . Problem 4 — Board search doesn't work for team-managed projects The Agile API endpoint /rest/agile/1.0/board?projectKeyOrId=HFM returns empty for team-managed projects, even
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Sass isn't dead, but native CSS just replaced its biggest use case. We can finally write reusable, type-safe functions directly in the browser, with zero build tools. I wrote up a practical guide on Dev.to explaining exactly how native `@function` works.
CSS @function - DEV Community CSS just got its biggest quality-of-life upgrade since custom properties. For years, if you wanted... dev.to
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CSS @function
CSS just got its biggest quality-of-life upgrade since custom properties. For years, if you wanted reusable logic in CSS, you had two choices: wrestle with custom properties that couldn't do real computation, or reach for a preprocessor like Sass. That era just quietly ended. CSS now has native custom functions — and they're as powerful as you'd hope. 1. What Exactly Is @function ? Think of it exactly like a JavaScript function — but living inside your stylesheet. You give it a name (always prefixed with -- ), define some parameters, and write a result: descriptor that determines what it returns. /* BASIC SYNTAX */ /* Define it once */ @function --double ( --x ) { result : calc ( var ( --x ) * 2 ); } /* Call it anywhere */ .box { width : --double ( 20px ); /* → 40px */ height : --double ( 50px ); /* → 100px */ } No var() wrapper needed to call it. No build step. No Sass import. Just define and use — as many times as you like, across your entire stylesheet. Note: Unlike Sass, native CSS functions don't evaluate math automatically. You must wrap mathematical operations in calc() inside your result descriptor. 2. The Syntax in Full Detail Parameters with Default Values You can make parameters optional by giving them a fallback — the function still works even if you don't pass a value. @function --spacing ( --size : 16px ) { result : calc ( var ( --size ) * 1.5 ); } .card { padding : --spacing (); /* → 24px (uses default) */ margin : --spacing ( 20px ); /* → 30px */ } Type-Safe Parameters You can declare the expected type of each parameter — and the return type too. The browser will validate this at parse time, preventing weird cascading bugs. @function --fade ( --color < color > , --alpha < number > : 0.5 ) returns < color > { result : color-mix ( in srgb , var ( --color ), transparent calc ( var ( --alpha ) * 100% ) ); } .overlay { background : --fade ( royalblue , 0.3 ); /* 70% opaque blue */ } Logic Inside Functions This is where @function gets genuinely exciting. Y
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How to build your professional network as a developer — authentic strategies
How to build your professional network as a developer — authentic strategies Building a Genuine Professional Network in Tech: A Practical Guide for Introverts and Extroverts Networking in tech isn’t about collecting business cards or forcing yourself to “work the room.” It’s about building real relationships with people you can learn from, collaborate with, and support over the long term. Whether you’re an introvert who prefers deep one-on-one conversations or an extrovert who thrives in crowds, you can build an authentic network that opens doors to mentorship,Jobs, collaborations, and career growth. Redefine Networking: It’s About Relationships, Not Transactions Forget the image of awkward name tags and empty promises to “grab coffee sometime.” Real networking is: Swapping war stories about debugging nightmares Sharing a job posting with someone who’d be a great fit DMing a speaker to say their talk inspired you Helping someone solve a problem without expecting anything back Quality over quantity isn’t just a buzzword-it’s your career strategy. You need 5-10 real connections, not hundreds of superficial contacts. Leverage Twitter (X), LinkedIn, and Dev Communities Effectively Twitter/X for Developer Networking Dev Twitter is alive and vibrant. Use it to: Share what you’re learning (builds credibility) Comment thoughtfully on others’ posts (starts conversations) DM speakers after webinars to say you enjoyed their talk Join tech conversations using relevant hashtags (#100DaysOfCode, #BuildInPublic) LinkedIn Profile Optimization Write a clear headline that explains what you do and what you’re curious about Share project updates, lessons learned, or thoughtful commentary on industry trends Join niche developer groups related to your tech stack Send personalized connection requests mentioning something specific you admired about their work Developer Communities (Discord, GitHub, Open Source) Join Discord servers for your favorite languages/frameworks Contribute to open
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CSRF, and the cookie flag
<form action= "https://bank.com/transfer" method= "POST" > <input name= "to" value= "attacker" > <input name= "amount" value= "10000" > </form> <script> document . forms [ 0 ]. submit () </script> Five lines of HTML on a malicious page. When a user who's logged into bank.com in another tab visits this page, the browser auto-submits the form, attaches their session cookie, and ten thousand dollars leave their account. They didn't click anything. The malicious site didn't see their password. There was no XSS, no breach, no leak in the traditional sense. The browser did exactly what it was designed to do. That's CSRF — Cross-Site Request Forgery — and it's been the classic "confused deputy" attack on the web for two decades. Let's walk through what makes it work, why CORS doesn't help, and the one cookie flag that mostly killed it around 2020. Why the browser attaches your cookie to that request Cookies belong to a domain. When you log into bank.com , the bank sets a session cookie in your browser: Set-Cookie: session=abc123; HttpOnly From that point on, every single request your browser sends to bank.com carries that cookie. Every page load. Every API call. Every image fetch. The browser does it automatically, without asking, and regardless of who triggered the request. That last word is the door CSRF walks through. The browser attaches the cookie based on where the request is going , not where it came from . So when evil.com triggers a POST to bank.com/transfer , the browser sees a request destined for bank.com , looks up the cookies for bank.com , and attaches them. As far as the bank's server can tell, the request looks exactly like one the user submitted from inside the bank's own page. This is the "confused deputy" idea. Your browser is the deputy. It has authority on your behalf (your cookies). And it's been tricked into using that authority for someone else's benefit. The server has no way to tell the difference, because from its point of view, there isn't one.
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How to handle production incidents — a step by step guide for engineers
How to handle production incidents — a step by step guide for engineers Incident Response Under Pressure When an outage hits, the goal is not to look smart in the moment; it is to restore service safely, keep people informed, and learn enough to prevent the next incident. The best teams follow a calm, repeatable process: prepare, detect and analyze, contain and recover, then review what happened afterward. Stay Calm First The first skill in incident response is emotional control. Panic makes people chase symptoms, jump between theories, and change too many things at once; calm responders slow the pace, stick to facts, and make the next action explicit. A useful rule is to pause long enough to ask: what changed, what is broken, what is the blast radius, and what is the safest next step. A simple reset phrase helps in the room: “Let’s gather signals, form one hypothesis, test it, and reassess.” That keeps the team from arguing about guesses and pushes everyone toward evidence-driven work. Debug Systematically Use a loop instead of improvisation. Start with symptoms, then check recent changes, then form a small set of likely causes, then test one hypothesis at a time, and finally verify recovery before declaring victory. During an outage, useful questions are: What is failing, and what is still working? When did it start? What changed right before it started? Is the problem isolated or widespread? What logs, metrics, traces, or user reports support each theory? Preserve evidence as you go. Avoid restarting systems, wiping logs, or making broad fixes before you understand the failure mode, because that can destroy the clues you need later. Communicate Clearly Stakeholder communication should be planned, not improvised. Good communication identifies who needs updates, what they need to know, how often they need it, and which channel you will use for each group. A practical outage update should cover four things: What happened in plain language. What the user impact is. W
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How to approach hard problems — first principles thinking for engineers
How to approach hard problems — first principles thinking for engineers First principles thinking is a powerful engineering method for solving hard problems by stripping away assumptions, reducing a system to fundamental truths, and reasoning back up to a solution from those truths. In practice, it helps you avoid cargo-cult design, debug faster, and make architecture decisions based on invariants instead of habit. What it is First principles thinking means asking: what do we know for certain, what is merely assumed, and what must be true for this system to work? Instead of copying a known pattern because it worked somewhere else, you decompose the problem into constraints, facts, resources, and failure modes, then build the simplest solution that satisfies them. For engineers, this is especially useful when the problem is novel, the stakes are high, or the decision is hard to reverse. Core method Use this loop: Define the problem precisely. List facts and constraints. Separate assumptions from evidence. Reduce the system to fundamentals. Ask why repeatedly until you hit a root cause or invariant. Rebuild the solution from those fundamentals. Test the smallest thing that can prove or disprove your reasoning. A useful engineering question is: “What must be true for this to work?” because it forces you to identify invariants before picking tools or patterns. System design example Suppose you need to design a notification service. Start with fundamentals: What is the work? Deliver messages reliably. What are the entities? Users, notifications, delivery attempts. What changes over time? Notification status, retry count, recipient preferences. What must never break? A user should not receive duplicate critical alerts, and failed deliveries should be visible. What happens under load? Queueing, retries, and backpressure become essential. From there, the architecture follows the requirements rather than fashion. If the real constraint is reliable delivery under bursty traff
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The Simplest Way I Found to Build Drag and Drop in React and Next.js
My Experience Using dnd-kit in React and Next.js For a long time, I avoided building drag-and-drop features in frontend projects 😅 Not because I did not need them. Mostly because drag and drop always felt unnecessarily complicated. When you think about implementing it, your brain immediately jumps to: animations sorting logic touch support accessibility performance state synchronization and suddenly a simple UI interaction feels like a massive feature. But recently, in one of my React and Next.js projects, I decided to finally try dnd-kit. Honestly, it changed my perspective completely. I used AI to help me with the initial setup and understanding some concepts like sortable contexts and drag events, but after that, working with the library felt surprisingly smooth. And that's what impressed me most. dnd-kit feels lightweight, modern, and flexible without becoming overwhelming. It gives you the tools you need without forcing a huge architecture or complicated patterns on your app. Things I Personally Liked About dnd-kit Very clean React-first API Lightweight and composable Works really well in React and Next.js projects Building sortable lists feels much simpler than expected Flexible enough for custom UI and interactions Good developer experience overall Something Interesting I Noticed When a library has a clean architecture and predictable patterns, AI becomes much more useful while learning it. The generated examples were easier to understand, easier to debug, and easier to customize compared to many older drag-and-drop solutions. If you are building things like: kanban boards sortable lists draggable cards dashboards reorderable tables I definitely recommend taking a look at dnd-kit. It ended up being much simpler and more enjoyable than I expected. Website https://dndkit.com/
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Frontend Engineering in 2026: Mastering Performance and DX
The Redefinition of "Frontend Engineer" in 2026 The era of the frontend engineer as a purely visual specialist is over. In 2026, companies like Vercel, Linear, Figma, Shopify, and major FAANG divisions expect their frontend engineers to think in terms of systems, not just components. A modern frontend engineer must understand rendering pipelines, browser internals, network optimization, and component architecture at the same depth that a backend engineer understands database indexing or API design. This shift is reflected directly in how companies interview frontend candidates. If you walk into a 2026 frontend interview expecting to answer "what's the difference between let and const ," you will be humbled. This guide covers everything you need to know to pass a senior-level frontend interview at a top tech company. Core Web Vitals: The Mandatory Topic You Can't Skip Google's Core Web Vitals have become a standard lens through which senior frontend engineers are evaluated. Interviewers now routinely ask candidates to diagnose performance bottlenecks using CWV metrics. The three primary metrics are: LCP (Largest Contentful Paint): Measures perceived load speed. Target under 2.5 seconds. Optimized via image preloading, server-side rendering, and CDN caching. INP (Interaction to Next Paint): Replaced FID in 2024. Measures responsiveness. Optimized by breaking up long tasks, using web workers, and deferring non-critical JavaScript. CLS (Cumulative Layout Shift): Measures visual stability. Prevents jarring layout shifts by pre-defining dimensions for images, iframes, and dynamic content. Be prepared to walk through a real-world scenario: "Given an LCP score of 4.2s, what is your systematic debugging and optimization approach?" This is now a standard senior frontend interview question. React 19 and the Concurrent Rendering Model React 19 introduced a fully concurrent rendering model that fundamentally changes how components behave. Key concepts interviewers probe in 2026
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The Quiet AI War Inside Your Browser
Google shipped the Prompt API in Chrome 148 on May 5, 2026. Mozilla objected. Apple's WebKit team...