Practice the work around a code change
nrml is an application for technical interview practice with AI. Exercises ask you to understand an existing repository, investigate a reported behavior, make a change, and verify it. Topics include backend services, reliability, data handling, and the engineering around machine learning systems.
The public catalog describes the scenario, skills, available languages, and expected practice time. Starting a problem opens the exercise setup. The full assignment and repository arrive in the interview workspace.
How we write and review public resources
The nrml editorial team is the collective byline for product guides and educational examples maintained with the application. It identifies responsibility for this content without claiming external credentials or an independent research review.
Guides use original, simplified examples to explain a reasoning process. Exercise previews are based on the public catalog and editorial descriptions; they do not publish private test cases or solution files. Technical references link to primary documentation where relevant. Review dates change when the content is reviewed, rather than every time a page is served.
Corrections and questions
If an example is unclear or incorrect, send the page URL, the behavior you expected, and a small reproduction to hello@nrml.dev. For account or product assistance, contact support@nrml.dev. We welcome concrete corrections and will revise the affected content when a correction is verified.