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AI simplifies smart contract development, auditing, and testing, thus lowering the technical barriers of blockchain technology implementation faced by traditional IT professionals. With AIs data analysis capabilities, algorithms can identify the commonly used functions across various smart contracts and generate modular code snippets.

For example, a developer focused on supply chain management could effortlessly integrate an AI-generated Payment-on-Delivery module on-chain, rather than coding this complex feature with Solidity from scratch. This modular approach not only accelerates the development process but also reduces the likelihood of code errors and vulnerabilities. Furthermore, Natural Language Processing (NLP) algorithms could also be used to parse and understand legal language in contracts, translating them into code modules to expedite smart contract development.

On the security front, machine learning algorithms trained to recognize security bugs can provide automated, rigorous testing of deployed smart contracts. This ensures a higher degree of security and efficiency, making smart contracts more accessible to a broader range of developers and applications.

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Unlocking the Full Potential of Blockchain: The Pivotal Role of AI in ... - Medium