AI Interviewer for Real Engineering Skills

An AI interview tool that assesses candidates on real engineering skills, not LeetCode-style puzzles.

Problem

Most existing AI interview platforms test competitive programming (LeetCode style), but companies really need to evaluate candidates' ability to fix, build, and deploy within large codebases, causing a disconnect between interviews and actual work.

Solution

Build an AI interviewer that presents real-world engineering scenarios (e.g., bug fixing in a large codebase, feature enhancement, deployment tasks) and uses a built-in AI agent to automatically assess candidates' actions and decisions, generating skill reports.

Users

Tech companies hiring engineers, engineering team leads, HR departments.

MVP

Provide pre-built practical tasks (codebase + problem description); candidates work in a cloud IDE; AI agent records actions and evaluates code quality and problem-solving process; generate detailed assessment reports; support custom tasks.

Revenue

Pay-per-interview (e.g., $50 per interview), or enterprise subscription (monthly/yearly).

Why now

Traditional LeetCode-style interviews are heavily criticized, and companies increasingly value practical skills. AI agent technology is mature enough to automate assessment of complex tasks, allowing an indie developer to enter this niche.