How to Screen Developers Without Leetcode

What Leetcode actually measures

Leetcode-style puzzles measure your candidate's ability to solve algorithmic puzzles under time pressure. That is a real skill. It is also, for 95% of engineering roles, not the skill you are hiring for.

When teams complain "we keep hiring people who pass Leetcode and then ship buggy CRUD code," the system is working as designed. You measured the wrong thing.

What to measure instead

The skills that actually predict on-the-job performance for most roles:

• Can they read existing code and understand it quickly?
• Can they write code that another engineer wants to maintain?
• Can they design a small system end-to-end?
• Can they debug a problem without the answer?
• Can they communicate tradeoffs clearly?

None of these require a Leetcode problem.

Three Leetcode-free interview formats

1. The "fix the codebase" exercise

Give the candidate a small, intentionally broken repo (50–200 lines). Tell them the symptom: "the API returns 500 on this request." Ask them to find and fix the bug while talking through their reasoning.

This tests reading, debugging, and communication — three skills Leetcode does not touch.

2. The "extend the feature" exercise

Give them a working app and ask them to add one small feature. Maybe a new field, a new endpoint, a new validation rule. Watch where they look first, what they ask, and how clean the diff is.

3. The "design this small thing" conversation

Not a Big Tech system design ("design Twitter"). A small thing. "Design the API for a URL shortener that supports custom slugs and expiration." 30 minutes. The interesting parts come out of the followups, not the diagram.

Why these formats catch AI cheating naturally

A Leetcode problem with a known answer is trivially solvable by an LLM. A 200-line broken repo with a subtle bug requires the candidate to read code — and an LLM that has not seen the repo is no better than the candidate at finding the issue. The format itself is partially AI-resistant.

Pair with integrity signals

Even with realistic problems, pair the assessment with keystroke and screen signals. A candidate pasting in a fix from ChatGPT is still a flag worth seeing. ClarityHire ships templates for both the broken-repo and extend-the-feature formats; clone one, customize, send.