đź’Ľ Master React Interviews

a React interview prep guide, the truth behind AI’s impact on developer productivity, and why managing teams while coding doesn’t scale. Plus, we dive into React Server Components, minimalist reactivity, and red flags in dev productivity tools.

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Hey guys,

Welcome to another edition of Import React by Cosden Solutions!

In this issue: a React interview prep guide, the truth behind AI’s impact on developer productivity, and why managing teams while coding doesn’t scale. Plus, we dive into React Server Components, minimalist reactivity, and red flags in dev productivity tools.

P.S. Ever wonder how senior devs structure large apps? Advanced Patterns React breaks it down with clear, reusable design patterns that scale.

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⚡️ The Latest In React 

đź’Ľ A comprehensive guide to mastering React interviews
React is the go-to tool for building modern UIs, from scrappy startups to global enterprise apps. If you're prepping for tech interviews, expect React questions, lots of them. This guide isn’t here to teach you React from scratch; it’s a lean, interview-focused refresher you can blaze through in an afternoon. Perfect for brushing up before interview day.

🫵 Why you should go straight to react-query, even for simple apps
Using useEffect for data fetching works, especially for quick demos or simple apps. I used it for ages myself. But honestly? Switching to react-query just makes life easier, even for basic projects. useEffect demands too much boilerplate to do things right, loading states, errors, caching, it adds up fast.

⬇️ How Imports Work in RSC
React Server Components (RSC) blur the line between frontend and backend, letting you write apps that span both like a single program. At its core, RSC tweaks how imports and exports behave, giving you fine control over what runs where. This deep dive is less about RSC itself, and more about how module systems shape full-stack thinking.

📱 Reactivity is easy
Reactivity in React is simpler than many think, yet it remains widely misunderstood. In a recent write-up, a developer shares how they tackled this using fine-grained, selector-based reactivity, achievable in under 35 lines of code. The post includes a copy-pastable example and even a package for convenience. At its core, it's a case for minimalist solutions, emphasizing simplicity as the path to clearer, more maintainable code.

🪝 Tiny useful AI Hooks for React
A lightning-fast front-end library that boosts UX with practical AI-powered tools—no fluff, just features that work. Production-ready in minutes, with no backend needed and a footprint under 4KB.

Streamline IT management with 'The World at Work 2024: Deel IT

Discover how you can transform your IT operations, enhancing operational efficiency & compliance across borders. Our guide has essential strategies for managing a global workforce.

đź§  AI & General Programming

⚙️ AI coding assistants aren’t really making devs feel more productive
Despite the hype, only 6% of engineering leaders report a significant productivity boost from AI tools, according to LeadDev’s March survey. While companies like GitHub and JPMorgan Chase share glowing stats, claims of up to 3x faster feature delivery, most leaders aren’t seeing that impact just yet.

🧑‍💼 Being an Engineering Manager today has never been harder
Engineering leadership used to be simple, just promote the most senior dev. But as teams grew, that model broke. Writing code and managing people at scale doesn’t work. So roles split: ICs handled tech, managers handled people. Then came layoffs, hiring freezes, the Compression Era. Now? Companies expect one person to juggle code, team care, and delivery, jobs that once took three.

🎏 5 Red Flags to Watch in Developer Productivity Tools
Shiny dashboards and polished metrics might look impressive, but real developer productivity tools need to deliver outcomes, not just insights. The best platforms don’t just say what happened, they explain why and guide teams toward better decisions. Too many tools miss that mark. Here are five key red flags in R&D planning and delivery management.

🦥 Bad Performance Makes Everyone Less Efficient
There’s a common belief in software development that favoring abstractions boosts programmer efficiency, even if it leads to code that's inefficient at the machine level. The critique here isn’t about what shows up in your IDE, it’s about what the CPU actually runs. The tradeoff? Faster development, but worse code. And while it’s framed as a business win, it often sacrifices software quality in the process.

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See you next week!

Darius Cosden