CodeInterview is a live coding interview platform for engineering teams.
Interviewers and candidates can write, run, debug, and discuss code together in real time in a collaborative browser-based IDE.
Use built-in video and whiteboarding, 30+ programming languages, databases, front-end environments, interview playback, and AI Assist—all without leaving the interview.
See how candidates approach real coding problems instead of limiting them to a static assessment. Interviewers and candidates work together in the same browser-based IDE, where they can write, run, debug, and discuss code in real time.
Choose from 30+ programming languages and frameworks, switch languages during the interview, and use multi-file environments when the task calls for a more realistic project structure.
Remote technical interviews don't have to feel like watching someone complete a test. CodeInterview gives interviewers and candidates a shared development environment where they can work through problems together in real time.
Watch candidates work through a problem, ask questions as they code, explore alternative approaches together, and see how they respond to feedback. Because interviewer and candidate share the same environment, you can collaborate naturally without screen sharing or switching between tools.
Built-in audio, video, and whiteboarding keep the discussion alongside the code.
Go beyond standalone algorithm questions and tailor the interview environment to the role you're hiring for.
Conduct backend interviews in 30+ programming languages, evaluate front-end developers with files, dependencies, a shell, and built-in browser, or work directly with SQL in a database environment.
AI is becoming part of everyday development work. With AI Assist, you can evaluate not only whether candidates use AI, but how they prompt it, assess its suggestions, and incorporate those suggestions into their own work.
The interviewer and candidate can see the same AI conversation, making it possible to discuss prompts and responses together during the interview. AI Assist can be enabled when you want to test AI-assisted development skills and left off when you don't.
A candidate's final code only tells part of the story.
CodeInterview Playback lets you revisit how the solution developed over time, including code changes and output. Review the interview alongside your notes and, when AI Assist is used, the candidate's AI prompts and responses.
This makes it easier to evaluate the candidate's reasoning, debugging process, and approach after the interview is over.
There is nothing for candidates to install. Create an interview room, share the link, and start coding together in the browser.
A coding assessment is useful earlier in the hiring funnel, when you need to quickly determine whether a candidate has the baseline technical skills required for the role. Candidates complete the assessment independently, allowing your team to screen a larger number of applicants without requiring engineering time for every candidate.
A live coding interview gives you a much deeper view of how someone works. Interviewers can watch candidates reason through problems, ask questions, debug code, respond to feedback, and explain the decisions they make along the way.
Many engineering teams use both: coding assessments for initial screening and live coding interviews for deeper technical evaluation.
Continental's Base Software and Tooling Group in Novi Sad uses CodeInterview as its main tool for technical interviews, recreating the in-person experience online.
“CodeInterview has become an integral tool for our technical interviews.”
Petar Grbić,
Group Leader in Software Development at Continental
A live coding interview platform gives interviewers and candidates a shared environment where they can write, run, debug, and discuss code together in real time.
CodeInterview provides a browser-based collaborative IDE alongside tools such as video, whiteboarding, interview playback, database and front-end environments, and optional AI assistance.
Yes. Interviewers and candidates work in the same collaborative coding environment and can see changes in real time.
This makes it possible to ask questions, suggest changes, explore alternative solutions, and pair program with the candidate during the interview instead of simply watching them complete a test.
CodeInterview supports more than 30 programming languages and frameworks for live technical interviews.
Teams can interview candidates across a range of backend, front-end, database, and general software engineering roles without requiring candidates to configure a local development environment.
Yes. CodeInterview can be used for pair-programming interviews because the interviewer and candidate share the same coding environment.
The interviewer can follow the candidate's work, discuss their approach, make changes to the code, and solve or debug problems collaboratively.
Yes. CodeInterview includes built-in audio and video as well as a collaborative whiteboard, so interviewers and candidates can communicate, diagram ideas, and work through technical problems without switching to separate tools.
No. CodeInterview runs in the browser, so candidates can join an interview from a shared link without installing an IDE or configuring a local development environment.
Yes, when the interviewer enables AI Assist. Candidates can use AI within the interview environment while the interviewer sees the same prompts and responses.
This allows teams to evaluate how candidates prompt AI, assess its suggestions, and incorporate AI-generated code into their own work. AI Assist can also be disabled when you want to conduct the interview without AI.
Yes. CodeInterview supports more than standalone coding questions. Front-end interviews can use files, dependencies, a shell, and a built-in browser, while database interviews allow candidates to work directly with SQL and database environments.
Yes. CodeInterview Playback lets you revisit how the candidate's solution developed during the interview rather than reviewing only their final code.
Teams can use playback alongside interview notes and, when AI Assist is enabled, review the candidate's AI prompts and responses as part of the evaluation.
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