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The origin story: forking a viral-but-abandoned Interview Coder project into Ezzi, an invisible desktop overlay that feeds you AI-generated solutions during coding interviews without the interviewer noticing. Why it is now open-source and where it is headed.

Inheriting a viral, AI-generated Electron codebase meant security holes, `any` types everywhere, 700-line files, and client-side credit logic. Real code examples and the patterns to watch when maintaining someone else's vibe-coded project.

LeetCode-style interviews do not predict job performance, yet the industry keeps doubling down. A comparison of common formats, why each falls short, and why tools like Ezzi are a symptom, not the disease.

A technical deep-dive into making an Electron overlay truly invisible to screen capture: how each OS captures windows, the BrowserWindow properties that matter, and the platform-specific edge cases (including macOS Zoom).

I built an interview-assist tool, so I am not neutral about the ethics. An honest walk through the strongest arguments on both sides of using AI during interviews — and where I have actually landed.

Run Ezzi entirely on your own stack: clone the repo, stand up a single Fastify endpoint, wire it to Claude, and own every request and API key. Full private setup in under an hour.

Companies run AI at every hiring stage — job descriptions, resume screening, question banks, automated grading — while the cheating conversation lands entirely on the candidate. Flipping the camera on a field that was never level.