Evallm

For interview candidates and the hiring teams that evaluate them

Practice coding interviews for the AI age.

Modern engineering isn’t about writing code from scratch — it’s about working with AI to ship correct code. Evallm grades both: the code you produce and how well you collaborate with your AI assistant to get there.

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Real engineering environments

Full Monaco editor, real Python projects, real pytest. No flashcards, no toy snippets.

AI built into the workspace

A Claude-powered assistant lives next to your editor and is tuned to guide you, not solve your problem for you.

Graded the way real work is graded

Hidden tests check correctness; a rubric evaluates code quality and how thoughtfully you used AI.

Every submission preserved

Re-open any past submission to see the exact code you submitted, with per-test failure detail and compile-error reports.

How it works

  1. 1

    Pick a role

    Choose Frontend, Mobile, or Backend. We drop you into a randomly selected problem sized to a real interview round — same as the real thing, no preview.

  2. 2

    Code with AI

    Edit, run tests, and chat with the assistant — all in one browser tab. The session resumes where you left off.

  3. 3

    Get graded

    Submit when ready. Tests run in a real sandbox, the rubric judges your approach, and you keep the full history.