Compare Code Intelligence vs. Tayt in 2026

Tayt

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Description

Our platform uses a variety of security techniques, including feedback-based fuzz testing and coverage-guided fuzz testing, in order to generate millions upon millions of test cases that trigger difficult-to-find bugs deep in your application. This white-box approach helps to prevent edge cases and speed up development. Advanced fuzzing engines produce inputs that maximize code coverage. Powerful bug detectors check for errors during code execution. Only uncover true vulnerabilities. You will need the stack trace and input to prove that you can reproduce errors reliably every time. AI white-box testing is based on data from all previous tests and can continuously learn the inner workings of your application. This allows you to trigger security-critical bugs with increasing precision.

Description

Tayt serves as a fuzzer specifically designed for StarkNet smart contracts. It is advisable to utilize a Python virtual environment for this purpose. Upon initiation, users will be presented with the properties that need verification alongside the external functions employed to create a series of transactions. If any property is found to be violated, a detailed call sequence will be displayed, listing the order of function invocations, the arguments provided, the address of the caller, and any events triggered. Additionally, Tayt allows users to evaluate contracts that are capable of deploying other contracts, enhancing its utility in smart contract testing. This capability makes it an essential tool for developers looking to ensure the robustness and security of their smart contract implementations.