AI coding interview assistant — screenshot to working solution

Stuck on a live coding task? Screenshot it and Interview Copilot returns a working solution with a step-by-step explanation and time complexity in seconds — so you can talk through the approach naturally, like you solved it yourself.

Screenshot → solution

Hit the hotkey, capture the coding task on screen, and the AI reads the problem (via vision) and returns a clean, working solution with comments — plus the reasoning and Big-O complexity so you can explain it out loud confidently.

Built for live technical interviews

For real-time coding and technical rounds, you get the approach, the code, and the trade-offs in one shot. Instead of freezing, you walk through the solution as if it were your own train of thought.

Invisible during screen share

The overlay is invisible on Zoom, Google Meet and Teams screen share, so the interviewer only sees your editor — never the assistant. Your coding environment stays clean.

Try it free

Free tier includes 3 coding-screenshot solutions to test it. Pro unlocks unlimited screenshots and answers on the latest Claude, grounded in your resume.

It reads the screen, not a pasted problem

The hotkey captures whatever is actually in front of you: the problem statement in CoderPad, half-written code in an editor, a failing test with a stack trace, a SQL schema on a shared tab. There is nothing to copy or retype — which matters, because reaching for the clipboard mid-round is exactly the movement an interviewer notices.

The explanation is the point

Code alone fails the round. Every solution comes with the approach in plain language, why this data structure over the obvious one, the complexity, and the edge cases that break a naive version. That is what you say out loud while you type — interviewers grade the narration at least as heavily as the final program.

When the answer is wrong

It sometimes misreads a constraint or produces something that compiles and fails on an edge case. If you cannot follow the reasoning line by line, you cannot defend it when asked why — and the follow-up question is where a borrowed answer collapses. Read it as a strong first draft from a colleague, not as output to transcribe.

FAQ

How does the AI solve coding questions?

Press a hotkey to capture the coding task on screen; the AI reads the problem, then streams a working solution with an explanation of the approach, complexity and edge cases — so you can talk through it, not just paste it.

Which programming languages does it support?

You choose the output language — Go, Python, JavaScript, TypeScript, Java, C#, C++, SQL, Rust, Kotlin, Swift and more. The solution and comments are generated in the language you select.

Does it work with CoderPad, HackerRank and CodeSignal?

Yes. Because it captures the task from your screen rather than integrating with a specific site, it works with any online coding environment — CoderPad, HackerRank, CodeSignal, LeetCode-style pads and shared editors.

How fast is the answer?

The solution streams within roughly a second of the screenshot, token by token, so the first useful lines appear almost immediately instead of after the full answer is generated.

Can it explain the solution, not just write code?

Yes — each answer includes the reasoning: why this approach, the time and space complexity, and the trade-offs, so you can explain it to the interviewer in your own words.

Does it handle debugging tasks, not just fresh problems?

Yes. A screenshot of broken code with a failing test or a stack trace comes back with the diagnosis and the fix, which is closer to what most real coding rounds actually ask.

What if the problem is a screenshot of a whiteboard or a PDF?

It reads the image rather than the page source, so anything legible on screen works — rendered PDFs, shared slides, image-based problem statements.

Can the interviewer tell the code was not written by me?

Not from the code itself, but they can tell from the gap between the code and your explanation of it. That gap closes only if you understand what was produced before you commit to it.