When you shut the compiler up to get a build to pass, you are just shifting the failure to the next engineer's pull request. Teams often litter their Next.js and React Native codebases with any just to force a build to pass under a tight deadline. This happens because the immediate friction of defining a complex data shape feels heavier than the risk of a runtime error. But using any doesn't just bypass the TypeScript compiler; it permanently blinds it. If you let this slide during early development, a single unannounced backend schema change will silently crash your entire frontend. The cost of delay is a complete loss of architectural confidence as your codebase grows. What takes 15 minutes to type strictly today will cost days of debugging when a malformed payload hits your users. You paid the initial setup cost to adopt TypeScript, but by allowing any, you are actively disabling the exact safety net you bought it for. Writing audit-ready code isn't just for show. For high-stakes data, strict typing is the only acceptable baseline. If your build passes but production still throws undefined object errors, your system is lying to you. Does your compiler actually protect your application, or did your team just configure it to stop complaining? #TypeScript #SoftwareEngineering
Why Allowing Any in TypeScript Can Disable Its Safety Net
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In 2026, the best code you ever wrote was the code you didn't write. I just shipped a complex dashboard in half the time, and I barely touched useMemo or useCallback. I was a skeptic when the React Compiler was first teased. I thought, "Another abstraction layer? More magic? I prefer fine-grained control." I was wrong. Here's why the compiler changed everything for my workflow this year. Before 2026, building performance-critical UIs in React meant managing performance. We spent a significant chunk of time agonizing over re-renders, manually memoizing components, and creating complex dependency arrays. It felt like we were writing React, and then we had to write another set of code to tell React how to do its job. The compiler flipped the script. By automatically applying memoization at a granular level, it moved the responsibility of knowing what to optimize away from the developer and into the build process. The real win isn't just "free" performance; it's cognitive clarity. I'm finally thinking about state flow, data structures, and user experience—not why a button is re-rendering when I type in an input. We aren't performance tuners anymore. We are architects. Are you using the React Compiler yet? Or are you a die-hard manual optimizer? Let’s chat in the comments! 👇 #reactjs #webdevelopment #javascript #frontend #softwareengineering #reactcompiler #performancetuning
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2 posts ago: a 9,200-line React codebase from 2019. Today: migration done. The numbers: 📊 Codebase - 77 files → 142 focused modules - 0% → 100% TypeScript strict - 11 runtime deps → 3 🛡️ Removed entirely - jQuery - moment.js - axios 0.19 (known CVEs) - Redux + react-redux + redux-thunk - create-react-app 3.4 (abandoned) - Console.log interceptors leaking tokens ⚡ Tooling - HMR: ~8s → <1s (CRA → Vite 8) - react-router v5 → v7 - tsc --strict: 0 errors - ESLint flat config: 0 warnings 🕐 Time - Manual rewrite: weeks, team - My pipeline: days, solo Note: LOC actually *went up* (9.2k → 12.4k). That's what a real migration looks like — types, split files, typed API layer. The win isn't shrinkage. It's 8 dependencies gone, zero CVEs, every file type-checked. Full case study: https://lnkd.in/gsw29EEd --- Here's the thing nobody talks about: Most companies don't rewrite legacy code because it's too expensive and too risky. So they keep patching. Adding duct tape on top of duct tape. Until one day the entire thing breaks and they're stuck. What if the rewrite took days instead of months? What if it cost a fraction of what agencies charge? What if the risk was near zero because the business logic is preserved automatically? That's what I built. If your startup or agency is sitting on a codebase that slows down every sprint — DM me. I'll show you what the modernized version looks like before you commit to anything. --- #react #typescript #vite #javascript #ai #webdevelopment #legacycode #codemodernization #softwaredevelopment
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TypeScript 7 beta is where the TypeScript Go compiler stops feeling like a lab demo and starts looking like a real workflow decision. The headline is speed. The more interesting part is latency. Faster type checking is nice in the same way a faster build is nice: you do not fully appreciate it until your editor stops sighing every time you touch a shared type. CI gets less dramatic. Refactors feel less like filing paperwork. That is the part of TypeScript performance that actually changes behavior. But this is still a beta, not a victory lap. `tsgo` and the TypeScript native preview are arriving in the middle of real JavaScript tooling ecosystems: bundlers, linters, test runners, editor plugins, build scripts, monorepos, and everyone's favorite archaeological site, deprecated compiler flags. The migration story matters as much as the compiler story. TS6 and TS7 side-by-side sounds boring until you are the person explaining why one package works perfectly and another one depends on a programmatic API that is not stable until later releases. That is the practical read: TypeScript 7 beta is not "rewrite your tooling this afternoon." It is "start measuring where your feedback loops hurt." The best developer experience upgrades are rarely glamorous. They just make the machine argue with you faster. Where would you test `tsgo` first: editor latency, CI, or a painful monorepo build? #TypeScript #JavaScript #WebDevelopment #DeveloperExperience #FrontendDevelopment #SoftwareEngineering #DevTools
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React team introduced the React Compiler 🚀. It is a new build-time tool (not a build tool or traditional compiler) ⚙️. It works with plain JavaScript, understands your code 🧠 and applies memoization automatically for you without the need for techniques like useMemo, useCallback, memo, etc. ✨ The effectiveness of the React Compiler depends on the health of your code 🏗️. Please go through this documentation about code health 📘: https://lnkd.in/gNawBfzd It has been tested effectively in production and is used by companies like Meta 🏢. It is called "React Compiler" because it parses your code 🔍 and optimizes it for you ⚡. It is similar to converting your code into a more efficient version 🔄. Let's say, for example: const handleClick = useCallback(() => { }, [dependencies]); <Item key={item.id} onClick={() => handleClick(item)} /> The above code breaks memoization because a new reference for the arrow function in the onClick event is created every time 🔁. However, this will be handled effectively by the React Compiler ✅. Please go through this documentation for more insights 📖: https://lnkd.in/gTwXDb3b To install as per your current setup please go through this 🛠️: https://lnkd.in/g5JNz6Xv #react #frontend #reactcompiler #memoization #optimization #softwaredevelopment #webdevelopment #javascript
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Last time I wrote about the trends in the JavaScript / TypeScript Ecosystem, and one of the directions I mentioned was the move toward native tooling over JS-based solution. It’s interesting how many updates I’ve seen on this topic in just two weeks. The TypeScript team released the TypeScript 7.0 beta (the Go port), and judging by the burn-down rate of issues in the RC milestone, they’re planning a release in one or two months. One interesting aspect: the ecosystem tooling isn’t ready for the release. We talked to a few framework vendors, and they don’t have a clear understanding yet of how they’re going to live with TypeScript 7.0. Technically, the problem is the following: previous compiler and LSP tooling relied on directly extending the TypeScript compiler behavior, with some JavaScript wrappers around it. In the new reality with TypeScript 7.0, this approach no longer works. Moreover, the compiler’s extensibility mechanism itself isn't in scope for 7.0: it's targeted for 7.1, and even then it will require a completely different implementation compared to what existed before. Another interesting insight from the framework teams: they’re not unprepared because they ignored the update or postponed the work. The reason is different. Many of them are currently re-implementing their tooling in Rust (not Go, like the TS compiler itself!). For them, finishing this rewrite is the #1 priority, and only after that will they start dealing with TypeScript 7.0 issues and LSP support. So yes, this confirms the trend a lot. But at the same time, while the community is excited about the new TypeScript update (5-10x speed improvement, as I mentioned before), it may be disappointing that they won't be able to adopt it immediately. Most will have to wait several more months until vendors complete their work and release official solutions. For us at JetBrains, this could be a good opportunity to close that gap, at least at the editor level, and bring the benefits of the TypeScript 7.0 to developers without those delays.
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Your TypeScript compiled with zero errors. Your React app still crashed in production. Here is why. 👇 TypeScript gives us a false sense of security. Here is the trap almost every frontend team falls into: const data = await response.json() as User; The Trap: The TypeScript Mirage 🏜️ By using as User, you just lied to the compiler. TypeScript is a build-time tool. It gets completely stripped away before your code runs in the browser. If your microservice backend team accidentally changes a field, or an API returns an unexpected null, the browser doesn't care about your User interface. The bad data flows directly into your React state, and suddenly your users are staring at a white screen of death because data.map is not a function. The Architectural Fix: Runtime Validation 🛡️ Senior engineers do not trust the network. They build boundaries. Instead of just casting types, you must validate the schema at runtime using a library like Zod. 1️⃣ Define the schema: const UserSchema = z.object({ id: z.string(), name: z.string() }); 2️⃣ Infer the TypeScript type from the schema for your UI. 3️⃣ Parse the incoming data: const user = UserSchema.parse(await response.json()); The Result: If the API sends bad data, Zod throws a clean error at the exact network boundary before it ever touches your React components. You catch the bug at the API layer, not in the UI layer. Are you blindly trusting your API responses, or are you validating at the boundary? 👇 #TypeScript #ReactJS #FrontendEngineering #SoftwareArchitecture #SystemDesign #WebDevelopment #FullStack
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🚀 React Compiler & Performance Optimization — A Big Shift While exploring modern frontend performance, one thing stood out 👇 👉 React is moving towards automatic performance optimization 🧠 The Problem (Earlier) We had to manually optimize components using: 👉 React.memo 👉 useMemo 👉 useCallback ❌ Easy to forget ❌ Adds complexity ❌ Hard to maintain ⚙️ Enter: React Compiler 👉 It automatically applies memoization where needed 💡 Meaning: 👉 React figures out what needs to re-render 👉 And what can be skipped 👉 “React thinks about performance for you” 🧠✨ 🧠 What This Changes 👉 Less manual optimization 👉 Cleaner code 👉 Fewer unnecessary re-renders 📊 Why it matters 👉 Reduces main thread work 🧠 👉 Improves rendering efficiency ⚡ 👉 Better performance by default 👉 “Write simple code, get optimized output” 🎯 🎯 Key Insight 👉 Performance is shifting from: ❌ Developer-managed ➡️ ✅ Compiler-managed 👉 “From manual → automatic optimization” 🔄 💡 Final Thought 👉 “The future of frontend is not writing optimized code — it’s writing clear code and letting tools optimize it.” #️⃣ #ReactJS #Frontend #WebPerformance #JavaScript #SoftwareEngineering #FrontendEngineering
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TypeScript 7.0 Beta just dropped and if you work with TypeScript codebases this one is worth paying attention to. The headline is simple. 10x faster than TypeScript 6.0. That is not a minor performance tweak. Microsoft rewrote the entire TypeScript compiler in Go. Same type checking logic, same semantics, identical behavior to TypeScript 6.0. Just native code speed and shared memory parallelism instead of JavaScript running the compiler itself. Here is what that means in practice. Build times that used to take minutes now take seconds. The editor experience in VS Code is noticeably more responsive. Type checking, parsing, and emitting now run in parallel. For monorepos with multiple projects the new builders flag lets you build them simultaneously too. The teams who validated this before launch are not small. Bloomberg, Canva, Figma, Google, Slack,Vercel, Notion, Linear. Multi-million line codebases reporting majority reductions in build times across the board. You can try it today via npm with the native preview package and install the TypeScript Native Preview extension for VS Code. The beta is described as close to production ready and already in use in major codebases. Stable release is expected within two months. For anyone building serious TypeScript projects this is the most significant compiler improvement in years. Not a new language feature. Just dramatically faster tooling that gets out of your way and lets you ship faster.
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JavaScript will let you call a function that doesn't exist and only tell you at 2am when production is on fire. That's not a metaphor. That's Tuesday. For years, large JS codebases were maintained by a combination of unit tests, tribal knowledge, and hope. You'd rename a function, miss one call site somewhere in a 40-file module, and find out three sprints later when a customer filed a bug. The feedback loop was broken by design. I hit this hard at a startup where we'd inherited a 60k-line Node.js backend. No types, inconsistent naming, functions that returned either an object or null depending on a condition buried 4 levels deep. Onboarding a new engineer took weeks just so they could stop accidentally breaking things. We migrated to TypeScript incrementally, started with the most-touched files, used 'any' as a crutch at first, tightened it over six months. The compiler immediately surfaced 40+ call sites that were passing wrong argument shapes. Not hypothetical bugs, real ones, some of which had been silently misbehaving in edge cases for over a year. We fixed them before they ever reached a user. Onboarding time dropped noticeably. New engineers could navigate the codebase with their editor instead of asking whoever wrote the file two years ago. Refactors that used to require a code freeze became routine. TypeScript doesn't make you write better logic. It makes the cost of mistakes immediate instead of invisible. If you're running a JS codebase over 10k lines and you're not using TypeScript, you're not saving time, you're borrowing it.
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React developers: It’s time to stop worrying about useMemo and useCallback.🛡️ We’ve spent years manually tracking dependency arrays, fighting over-renders, and debating whether to memoize "everything" or "only the expensive stuff." That era is ending. The React Compiler is officially changing the game. How does it actually work? It’s not just a minor update—it’s a sophisticated build-time transformation. Here’s the breakdown: 🔹 From AST to IR: The compiler takes your JSX and turns it into an Intermediate Representation (IR) to analyze data flow. It finally understands the "Rules of React" better than we do. 🔹 The Memo Cache Strategy: Instead of standard dependency checks, it generates a flat internal cache. If your inputs haven't changed, it skips the work. Period. 🔹 Granular Optimization: It can memoize specific parts of your JSX tree that are too tedious for humans to handle manually. The goal? Memoization by default. We shift the burden from the developer to the build step (Vite/Next.js). You write standard JavaScript; the compiler handles the performance. "Is manual memoization dead?" Not quite yet, but the "mental overhead" of React performance is about to drop significantly. Have you tried the React Compiler in your latest projects, or are you sticking to manual optimizations for now? Let’s discuss below! 👇 #ReactJS #WebDevelopment #Frontend #NextJS #JavaScript #SoftwareEngineering #ReactCompiler #CodingTips
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