tech-interview-prep

To generate AI engineer interview questions from a codebase, provide the source code or project statement to the skill. It analyzes the input and produces a tailored question bank covering architecture, data flow, and system design challenges for mid-to-senior candidates.

Yes, you can use a resume to prepare for a research engineer mock interview. The skill analyzes your resume to identify input modes and generates a guided mock interview flow with structured questions and evaluation prompts tailored to research engineering roles.

The best way to practice system design questions for a mid-to-senior AI role is using a codebase or project statement to generate a tailored interview plan. This approach produces deep-dive architecture questions and a mock interview flow derived directly from your materials.

The interview preparation process requires identifying an input source and mode before proceeding. You can supply a codebase, project statement, or resume, and the skill will automatically structure the technical interview preparation around the provided material.

To get evaluation prompts and study topics after a mock interview, complete the guided flow generated from your codebase or resume. The skill automatically delivers structured evaluation prompts and recommended study topics alongside the question bank for mid-to-senior AI candidates.

When analyzing a large codebase for interview prep, the skill requires identifying the input source and mode before proceeding to generate structured questions. Ensure the codebase is accessible to allow accurate extraction of architecture and data flow details for the question bank.