Hey guys,

Welcome to another edition of Import React by Cosden Solutions!

In today’s issue: the hidden power of React’s cache, a sarcastic but surprisingly useful deep dive into why React can be frustrating, 15 real-world React examples, and Lee Robinson’s reflections on nearly a decade in the community.

Plus: critical MCP security flaws, why LLMs aren’t world models, smarter ways to code with AI, and the looming reality of $100K/year AI bills per developer.

Let's get into the newsletter! 🤙

⚡️ The Latest In React 

💪 The Real Role of React Cache in Server Components
The Twofold team dives into how React’s cache() works under the hood, and why it’s a cornerstone for reliable Server Components. They break down how it ensures every part of your app sees the same data, even if components render at different times. With clear examples like fetching HTML or running SQL queries, the piece connects theory to real-world use.

📈 Build React apps like a senior dev
Tutorials show you what to do, this course teaches you how to think. Advanced Patterns React breaks down the design patterns behind scalable architecture, from data fetching to routing and auth. Learn the patterns top engineers rely on, and finally build apps that don’t fall apart as they grow.

😂 React is Awful
Despite the title, this actually turns out to be a GREAT learning resource wrapped in frustration, an inventive and surprisingly insightful way to understand React. The AI-written introduction walks you through why React exists and the frustrations it brings, all with a sardonic wit that hits home with many React devs. What I like is that it helps you learn why each pain point matters. It’s a refreshing mix of honest critique and no-frills education.

🔎 15 Real-World React Examples In 2025
The Netguru team highlights 15 production-ready React apps spanning fintech, streaming, crypto, and more. Each example shows how React’s architecture handles complex, high-traffic projects, offering practical insight into its flexibility across industries. I think it’s useful to see how different industries leverage the same tools to solve very different problems.

🫂 The React Community
Lee Robinson reflects on nearly a decade with React and a five-year run managing the Next.js and React communities. He unpacks why React’s composition model and stability remain its core strengths, explores the differences between commercial vs. non-commercial open source, and shines a light on the emotional toll and importance of community stewardship.

🧠 AI & General Programming

🚨 MCP Vulnerabilities Every Developer Should Know
With MCP adoption growing rapidly, this article highlights the security pitfalls developers can’t ignore. It covers threats like Tool Description Injection, weak session authentication, and malicious code execution via misconfigurations, backed by real-world examples.

🤔 LLMs aren’t world models
Yosef Peleg digs into what makes LLMs fundamentally different from actual world models, explaining how they merely predict text rather than understand or represent reality. He walks you through limitations like context blindness and lack of real-world grounding, with clear analogies that make the gap feel all too real.

🙅 Programming with AI: You're Probably Doing It Wrong
This article on Devroom shows how even seasoned developers are often using AI coding assistants the wrong way. It spotlights tell-tale missteps like dumping your entire codebase into a chatbox or skipping testing, and explains why that short-circuits the AI’s potential. The real power lies in giving your assistant just the right context and carefully crafted prompts to make AI work for you.

😅 Future AI bills of $100k/yr per dev
With token usage soaring, Kilocode just hit 1 trillion tokens per month on OpenRouter, it argues we may soon see some developers burning through $100K/year just on inference costs. It highlights two key drivers: nothing’s dropping the price per token, and token consumption per app has exploded (think bigger context windows + parallel AI agents). This is a sobering look at the real cost of scaling AI-powered development that not many people are discussing.

Quick Links

P.S. Last week I mentioned Cosden Code, the project that's going to change how developers learn React forever. Development is moving incredibly fast, and I'm getting closer to selecting the first beta testers.

If you missed the announcement, this is your reminder. I'm building something that represents the first true evolution in React education, and soon I'll be hand-picking developers to experience it before anyone else.

Don't miss out, join the waitlist while there's still time.

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See you next week!

Darius Cosden