What a new grad loop actually tests
An online assessment or a phone screen gets you in the door. What happens after depends on how you perform live: whether you can clarify the problem, think out loud, and write code someone else can follow while they watch and ask questions. New grad loops lean heavily on data structures and algorithms because most companies are not expecting deep systems experience yet. They are watching how you think.
Practicing the parts LeetCode does not test
Many new grads grind problems in silence and assume they are ready. In a real interview, if you do not talk, you fail. CodeSparring's AI interviewer expects both the code and the explanation, across 170+ scenarios in 18 interview patterns.
- Ask clarifying questions before writing anything.
- State a first approach, even a slow one, before you optimize it.
- Talk through the time and space complexity of what you wrote.
- Take a hint without going quiet when you get stuck.
DSA is not the whole loop, either. Many intern and new grad screens now include a debugging round: an unfamiliar codebase with a failing test you have to diagnose. CodeSparring runs that format too, one of the two rounds on the rounds page, with a verified pack that checks your fix against the real test suite. If SQL comes up in your screens, the free SQL course runs real queries against a database in your browser.
Practice before it counts
The free plan includes 8 full interview sessions a month with complete AI feedback, no card required. Open the workspace and run a problem without an account first. A scored rubric after each session covers communication, problem solving, and code quality, not just whether your tests pass, so you know what to fix before the next one.