Where to practice for an AI-assisted coding interview
Updated
The right place to practice depends on the round you face. For an AI-assisted round, pick a setup where you drive a real AI assistant on unfamiliar code under a timer and can review your process afterward: PraxisAI, Hello Interview and AICodingPrep are built for this, and you can do it free with your own agent and an open-source repository. For human feedback, book a mock interview on interviewing.io. For an AI-free algorithm round, LeetCode remains the standard.
This page is written by PraxisAI, so weigh it accordingly. Each description below is based on the product's own public pages as of October 2026; check them for current features and pricing.
How do the options compare?
The main differences are what you practice on, whether you drive an AI agent, and what feedback you get.
| Option | What you practice | AI agent | Feedback |
|---|---|---|---|
| PraxisAI | Timed bug fixes from real open-source repositories, and take-home builds from a brief | Yes, in browser VS Code | Test-graded score and verdict; detailed process report with prompt coaching and replay on paid plans |
| Hello Interview | Open-ended AI coding sessions, plus guides on interview formats and driving the AI | Yes, your own editor and tools such as Claude Code, Codex or Cursor | Verdicts from No Hire to Strong Hire with a level estimate |
| AICodingPrep | Broken-code scenarios styled after company interviews, such as an LRU cache or a rate limiter, in a browser workspace | An AI coach that gives escalating hints but does not write the fix | Six process scores, including diagnosis, independence and verification |
| interviewing.io | Anonymous mock interviews with senior engineers, and an AI interviewer | Not the focus | Interviewer feedback |
| LeetCode | Algorithm and data structure problems | No; suited to AI-free rounds | Test case results |
| Do it yourself | An issue from an open-source repository with your own agent | Yes, any agent | Only what you review yourself |
Which option fits your interview?
Match the practice to the round. Many loops mix formats, so you may need more than one.
- AI-free algorithm round: LeetCode or a similar problem bank.
- Live round where you want a person's read on your communication: a human mock interview.
- Open-ended AI-assisted problem with your own tools and a hire-style verdict: Hello Interview.
- Debugging self-contained interview-style code with an AI that coaches rather than codes: AICodingPrep. Note that in Meta's round the assistant can write code, so practice directing one that does, too.
- Reading, debugging and extending an unfamiliar real codebase with an agent, with your prompts and test runs recorded and scored: PraxisAI.
- No budget: the do-it-yourself setup below.
How can you practice for free with your own agent?
Pick a closed issue with a linked fix in an open-source project you have not worked on, check out the commit before the fix, and give yourself 60 minutes with your usual agent. Do not look at the fix until you finish. Save your prompts, the commands you ran and the final diff, then compare your patch with the merged one.
SWE-bench lists thousands of such issues with tests that check the fix, which makes it a convenient source. What you lose is grading and an outside view of your process, so be strict when you review your own record.
What should any practice setup give you?
Whichever you choose, check that it gives you the conditions that make practice transfer to an interview.
- Unfamiliar code, so you practice reading and scoping rather than recall.
- A time limit close to your interview's.
- A record of your prompts, commands and test runs that you can review afterward.
- Grading by tests, so a confident explanation cannot pass for a working fix.
- A format that matches the round you were told about.