Railway Ditched Next.js... Should You?

🧩 JavaScript in 2026: What Actually Matters for React Devs
In this big-picture breakdown, Chris Coyier walks through the modern JavaScript ecosystem, and the key takeaway is that being a React dev today goes way beyond just React. From new language features like iterator helpers and the upcoming Temporal API, to tooling shifts like Vite becoming dominant, the stack is evolving fast. The bottleneck isn’t learning another hook, it’s understanding the ecosystem around it. With things like the React Compiler reducing manual optimization and AI writing more code, the real leverage is knowing the platform, tooling, and tradeoffs, not just the framework.

🌍 Implementing Next.js 16 'use cache' with next-intl Internationalization
Next.js 16 introduces the 'use cache' directive, but it doesn’t work seamlessly with next-intl yet. In this blog post, Aurora explores why the incompatibility exists, what the upcoming solution with next/root-params will look like, and shows you a practical workaround you can use today.

🧠 You Probably Don’t Need useEffect (Seriously)
This post from Neciu Dan makes a strong case that most React devs are overusing useEffect, and it’s quietly hurting performance and code clarity. The core rule is simple, if you’re not syncing with an external system (API, DOM, WebSocket, etc.), you probably don’t need an effect at all.

Why it matters: unnecessary effects cause extra renders, introduce bugs (especially in Strict Mode), and make components harder to reason about. The better pattern is usually simpler, derive data during render, handle logic in event handlers, or use tools like TanStack Query instead of rolling your own effect-heavy logic.

The bigger takeaway? As apps (and AI-generated code) get more complex, knowing when not to use React features is becoming just as important as knowing how to use them.

⚛️ Railway Ditched Next.js (And Shipped the Rewrite in 2 PRs)
Railway migrated their entire production frontend off Next.js to Vite + TanStack Router, and pulled it off with zero downtime. The reason? Build times had ballooned past 10 minutes, and the framework’s server-first model didn’t match their heavily client-side app. The takeaway for React devs is pretty clear, framework choice should match your product, not trends. Railway optimized for iteration speed, cutting builds to under 2 minutes and making the dev loop nearly instant. In a world where shipping fast matters more than ever (especially with AI speeding everything up), that feedback loop is quickly becoming the real competitive advantage.

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⏱️ Every Layer of Review Makes You 10× Slower
In this piece, Avery Pennarun argues that most dev time isn’t coding, it’s waiting. Each added layer of review (PRs, design docs, approvals) compounds into massive delays, and AI doesn’t fix that bottleneck at all.

🗂️ S3 Files: Why Storage Design Suddenly Matters More Than Your Code
This deep dive from Andy Warfield explains a problem every dev has felt but rarely names: data friction. Moving between object storage (S3) and file systems has quietly been slowing down everything from ML pipelines to simple scripts, forcing devs to copy, sync, and babysit data instead of actually building.

The big shift? As AI makes writing code faster and cheaper, data, not code, is becoming the real bottleneck. S3 Files tackles this by letting you mount S3 like a filesystem, removing that friction entirely. For devs, this isn’t just infra news, it’s a preview of where things are going: faster iteration, more experimentation, and a world where the limiting factor isn’t writing code, but how easily you can work with your data.

🧠 What 1,000 Amazon Interviews Taught Me About Getting Hired
After sitting in nearly a thousand interview loops at Amazon, this ex–Bar Raiser argues most candidates don’t fail on technical skills, they fail on everything else. By the final round, your coding ability is already assumed, what actually matters is how clearly you communicate, how you handle ambiguity, and whether people can picture working with you. The biggest mistake? Spending 95% of prep time on LeetCode and almost none on storytelling.

📖 7 Unwritten Laws Every Engineer Learns the Hard Way
This post highlights the patterns you only learn after breaking production a few times, like always rolling back first, never trusting backups until you’ve restored them, and assuming every external dependency will fail.

💃 The Cult Of Vibe Coding Is Insane
In this blunt take, Bram Cohen argues that blindly relying on AI to write code without understanding it (“vibe coding”) is a fast path to messy, low-quality systems. The core issue isn’t AI itself, it’s developers refusing to look under the hood, treating understanding the code as optional. Why devs should care: AI can absolutely speed up development, but it doesn’t replace judgment. The best results come from guiding, reviewing, and iterating with the model, not delegating everything to it. The takeaway is simple but important: AI doesn’t cause bad code, developers choosing not to engage with it properly do.