The blockchain development toolchain has matured dramatically since 2020. You no longer need to wrestle with raw RPC calls or deploy contracts by hand. Modern frameworks like Foundry and Hardhat provide developer experiences that rival traditional web development — here's the stack you need.
Two frameworks dominate smart contract development: Foundry and Hardhat. Brownie (Python-based) is largely deprecated as of 2024. The choice between Foundry and Hardhat depends primarily on your team's language background and existing tooling preferences — both are production-ready and supported by major protocols.
Foundry has become the default choice for new projects since 2023. Its Rust-based architecture makes it 10–100x faster than Hardhat for compilation and testing, and its native Solidity test framework eliminates the context-switching cost of writing tests in JavaScript. For teams building audit-ready code, the faster test loop significantly reduces iteration time.
CLI Tools
Best for: New projects, Solidity-heavy teams, CI/CD pipelines
CLI Tools
Best for: Teams with JS background, existing projects, plugin-heavy workflows
The frontend Web3 library landscape has consolidated rapidly. ethers.js dominated from 2017–2022; viem emerged in 2023 as a TypeScript-first replacement with superior developer experience and tree-shakeable modules. The shift from ethers.js to viem mirrors the broader JavaScript ecosystem's move towards type safety and bundle optimisation.
For React applications, wagmi abstracts wallet management, contract interactions, and chain state into hooks — cutting the boilerplate that made early dApp development painful. WalletConnect provides the multi-wallet connection protocol that powers most wallet integrations, while RainbowKit delivers the polished wallet-connection UI that meets user expectations.
TypeScript-first Ethereum library, successor to ethers.js. Lightweight, modular, tree-shakeable. Preferred for new projects due to superior TypeScript types and bundle size.
The original JavaScript Ethereum library, still widely used. 10M+ weekly npm downloads. Extensive documentation and community examples make it the safest choice when working with legacy codebases.
React hooks library for Ethereum. Built on viem. Handles wallet connections, contract reads/writes, transaction state, and account management. Dramatically reduces boilerplate for React dApps.
Pre-built wallet connection modal supporting 100+ wallets. Built on wagmi. Implements the Connect Wallet UX pattern with near-zero configuration — handles the UI problem so you focus on protocol logic.
Smart contract testing is not optional — it is the primary defence against exploits that can drain protocol funds irreversibly. Professional teams maintain test coverage above 95% and run both unit tests and integration tests against forked mainnet state before any deployment.
Production blockchain applications require managed infrastructure services to handle concerns that would otherwise require significant operational overhead. The infrastructure stack for a typical dApp spans four layers — RPC access, data indexing, decentralised storage, and monitoring.
Managed node infrastructure for reading and writing to chains without running your own node. Essential for production dApps.
Decentralised indexing protocols for querying historical blockchain data via GraphQL. Eliminates custom indexing infrastructure.
Managed IPFS pinning services for decentralised asset storage. Required for NFT metadata and decentralised frontend hosting.
Protocol monitoring, automated transaction simulation, and smart contract admin actions. Critical for production protocol operations.
Tenderly and OpenZeppelin Defender represent the monitoring and automation layer that separates amateur deployments from production-grade protocols. Tenderly provides transaction simulation (test any transaction before broadcasting), real-time alerts for protocol anomalies, and a full execution trace debugger. Defender automates admin actions — pausing contracts during incidents, managing multisig proposals, and running automated bots — reducing operational risk from human error.