We provide real life tips and tricks in blockchain industry
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When you’re building modern React applications, you quickly realize that one of the hardest parts isn’t designing a beautiful UI or adding animations — it’s managing state effectively. The seemingly simple task of keeping your application’s data in sync can become a tangled mess of prop drilling and re-renders if not handled correctly.
Blockchain technology has matured from experimental proofs-of-concept to production-grade systems, driving real business value. By mid-2025, 48 of the Fortune 100 will operate at least one business-critical workload on permissioned or hybrid blockchain networks. This guide provides a comprehensive roadmap for building, scaling, and governing enterprise blockchain solutions in today’s regulatory and technical landscape.
Hey, fellow coders! Ready to supercharge your Go skills and tap into live blockchain data? If you’ve ever wanted your app to react instantly to on-chain events — like token swaps, transfers, or smart contract calls — you’re in the right place. Follow along as we roll up our sleeves and build real-time blockchain event listeners in Go. You’ll find approachable code, honest lessons, and a sprinkle of personal tips to make your project shine.
In Part 1, we got our foundations in order — folders, separation of concerns, testing basics. Now, consider this as a senior guide from a senior engineer, packed with hard-won lessons from high-traffic consumer apps and enterprise systems. We’ll cover global state strategies, scalable routing, clean dependency boundaries, design systems, component sizing, performance engineering, and release workflows. I have tried to add concrete pros/cons, real project anecdotes, and some of my personal insights, ensuring your React architecture is ready for scale.
In the rapidly evolving world of blockchain, smart contract upgradeability has become a critical feature. Once deployed, smart contracts are immutable by nature, posing a significant challenge for bug fixes, feature enhancements, or even economic model adjustments. This is where proxy patterns come into play, offering a robust solution for managing contract upgrades without changing the contract address. At the heart of most proxy patterns lies a powerful yet often misunderstood EVM instruction: DELEGATECALL.
Building decentralized applications (dApps) in React used to be… a lot. Connecting crypto wallets, managing chain IDs, dealing with raw ethers.js calls, and then wrestling with state management to keep your UI in sync. It was enough to make even seasoned React developers groan.
Zero Knowledge (ZK) proofs represent one of the most elegant concepts in cryptography: the ability to prove you know something without revealing what you know. This mathematical marvel has evolved from theoretical curiosity to practical technology powering everything from blockchain privacy to secure authentication systems and beyond.
If you’ve built a React or Next.js app in the past few years, there’s a good chance you reached for Redux. Maybe you didn’t even question it — you just knew you’d need “global state management,” so you installed Redux Toolkit, set up slices, actions, reducers… and off you went.
When developers build decentralized applications (DApps) on Ethereum or any EVM-compatible chain, the backend has to juggle a lot at once: streaming on-chain events in real time, dispatching user transactions, rebalancing liquidity across chains, and serving API requests to the frontend without delay. This is exactly where Go’s concurrency model gives fellow builders an edge. Goroutines, channels, and the simple select statement make it easy to keep everything responsive, resilient, and efficient.
The blockchain ecosystem today, vibrant yet fragmented, often resembles the early days of the internet. Back then, different networks couldn’t communicate, creating isolated islands of information. Similarly, we now have powerful, specialized chains like Bitcoin for digital gold, Ethereum for smart contracts, Solana optimizing for speed, and hundreds of niche chains solving specific problems. But their isolation creates friction for users and severely limits the true potential of decentralized applications (dApps).