Leetcode Wizard is an AI-powered desktop application marketed as an invisible assistant for coding interviews. It claims to provide instant problem-solving guidance and code outputs for LeetCode problems during interviews, with features intended to be used without leaving the coding environment and even on proctored tests. The tool emphasizes a privacy-first mindset, undetectable operation, and a high success rate in interviews with FAANG-level companies. It positions itself as a way to consistently produce correct algorithms, complete with output code, edge-case tests, and complexity analysis, while remaining hidden from screen-sharing and other monitoring tools.
How it Works (as described)
- Setup: After logging in, users choose the programming language and input source. The desktop app can be controlled by undetectable hotkeys and can run in hidden mode during interviews. A web view is available for secondary devices.
- Algorithm Selection: The AI analyzes the problem and returns a list of possible algorithms, sorted by time complexity. It claims to handle unknown problems and always provide at least one viable approach.
- Output: The AI generates code in the chosen language, includes tests for edge cases, and provides a complexity analysis. Outputs are described as fully humanized and designed to pass detection by interview platforms. The system claims a long history of testing in real interviews and mock sessions.
Note: The described workflow emphasizes unobtrusive operation to avoid detection and to assist during proctored or screen-recorded sessions.
Safety, Ethics, and Legal Considerations
- The described use-case promotes obtaining job offers through potentially deceptive means during interviews.
- Users should consider the ethical implications and potential violations of interview policies, employment terms, and applicable law.
- We do not endorse or encourage cheating in professional or academic settings.
Core Features
- Invisible desktop tool with undetectable hotkeys for real-time problem solving during coding interviews
- Web view available for secondary devices, enabling output to be monitored elsewhere
- Automatic problem analysis with a ranked list of algorithm approaches (best to worst time complexity)
- Generated code outputs in multiple languages, including edge-case tests and complexity analysis
- Designed to pass common coding interview platforms and to remain hidden from proctoring tools
- Broad claim of high effectiveness and a history of real interview testing and user testimonials
Notes on Usage and Compliance
- This description summarizes marketing content from the tool. Consider institutional policies and legality before use, especially in proctored environments or where aiding cheating violates rules or laws.