The interview-sim project provides a unique platform for technical interview preparation by allowing users to simulate real technical screening processes conducted by companies. This tool streamlines the interview prep experience by enabling candidates to paste a job posting, which the system then analyzes to create authentic technical questions reflective of what the company actually requires.

Key Features:

• Intelligent Research: The system conducts thorough research, ensuring that all candidate reports are live, dated, and well-sourced. No old or stale data is used, keeping the material current and relevant.

• Custom Question Generation: Based on the company's interview format, the tool creates original questions tailored to the specific job role, avoiding reuse of any actual assessment items.

• Test Validation: Each generated question is equipped with deliberately incorrect solutions to ensure it can be accurately graded. All tests must successfully identify these errors before the interview session begins.

• Fixed Timing: A reliable timer strictly manages the interview duration; any correct answer submitted after the time limit is automatically considered invalid.

• Post-Session Analysis: After the interview, users can access a detailed report that breaks down time management per question and identifies failures of hidden tests with reference solutions provided upon request.

Usage Examples:

To initiate a simulation, simply use:

/interview-sim:sim https://jobs.example.com/some-posting

This command triggers the agent to research information about the job posting, prepares questions, and starts the timer, allowing candidates to practice in their own coding environment.

Interview Formats:

The tool offers flexibility with several formats for simulating interviews:

• The exam: 4 questions over 70 minutes with a silent proctor.
• The project: A single project with four gated levels within a 90-minute timeframe.
• The interview: A single question interview lasting 45 minutes, where hints from the interviewer are counted.

Integrity Measures:

The framework emphasizes honesty and transparency:

• Every question undergoes approval from hidden tests to confirm its validity.
• No caching of information ensures every session reflects the most recent hiring standards.
• All questions are original and written in accordance with public formatting standards, refusing to reuse real assessment items.

For detailed insights into methodology, ethics, and security, refer to the project's accompanying documentation.

This repository encourages contributions from developers and users, inviting bug reports and features suggestions via the CONTRIBUTING.md file.