Test Smart Contract Code with ChatGPT and Diligence Fuzzing

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Smart contract developers face the challenge of creating code that is secure and does not contain any vulnerabilities. Auditing contracts can be costly and time-consuming. Luckily, there are tools that make smart contract testing cheaper, simpler, and faster. The article explores two such tools: ChatGPT and Diligence Fuzzing.

ChatGPT, powered by OpenAI, is an AI language model that is proficient in a wide variety of tasks, including web3 development. However, the tool is only capable of identifying minor errors and cannot replace a well-versed web3 developer.

Diligence Fuzzing, on the other hand, is a tool by ConsenSys that implements fuzzing for web3. Fuzzing is a dynamic testing technique that generates random inputs called fuzz and injects them into the code to reveal vulnerabilities that traditional testing methods may miss.

By combining the power of the two testing tools with a ChatGPT plugin that can write tests and identify vulnerabilities, smart contract developers can ensure their code is secure and free of any vulnerabilities.

Diligence Fuzzing uses the Scribble annotation language to annotate the contract with rules that should be followed. The tool creates a variety of inputs to generate unit and system tests that identify any bugs and vulnerabilities. In five minutes, the tool generates a comprehensive report that identifies any vulnerabilities in the contract.

In conclusion, smart contract developers need to use multiple tools to ensure their code is secure. While ChatGPT can be an excellent starting point, Diligence Fuzzing can provide comprehensive coverage to identify any vulnerabilities. By combining the power of the two tools, smart contract developers can create code that is secure and free of any vulnerabilities.

See also  OpenAI Launches ChatGPT Edu for Universities to Revolutionize Campus Operations

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