aiCode.fail is an AI code checker designed to identify errors, security vulnerabilities, and hallucinations in code generated by large language models (LLMs). It offers a free plan and paid plans with unlimited audits and additional features, making it a valuable tool for developers who use AI to accelerate their workflows. Its unique approach provides a fresh perspective that helps improve code accuracy and security.
aiCode.fail's primary function is to detect errors and security issues in code produced by AI. It goes beyond the capabilities of standard AI tools by analyzing code from a separate context, providing more comprehensive and reliable results than the LLM that initially created the code. This helps in improving the accuracy and robustness of AI-generated code.
The platform integrates a Monaco editor for a smooth and efficient coding experience, similar to what users find in other integrated development environments (IDEs). This feature makes it easy for users to input, edit, and analyze their AI generated code within a familiar environment. The tool also includes features like instant output copying, further streamlining the development process.
aiCode.fail detects potential security vulnerabilities in the AI-generated code. This is critical because AI may inadvertently introduce security issues that could compromise systems or applications. By identifying these weaknesses before deployment, aiCode.fail helps prevent security breaches and ensures the safety of code.
aiCode.fail uses a refined LLM to analyze code independently of the original AI chat, offering a fresh perspective that detects errors and potential security vulnerabilities often missed by the initial AI. The process is entirely language-agnostic and doesn't involve compiling your code, ensuring rapid analysis.
The free plan provides a limited number of audits to allow users to experience the tool's core functionalities. The paid plans (monthly and annual) unlock unlimited audits and additional features like instant output copying, enhancing efficiency and productivity.
aiCode.fail supports all popular LLMs and programming languages, making it adaptable to various AI coding workflows. It uses a Monaco editor to create a smooth, user-friendly coding experience. The security check proactively identifies vulnerabilities, improving the safety and reliability of your code.