Build AI-ready teams with real-world technical assessments

CodeSubmit lets you run take home projects, short coding screens, and live interviews in real codebases. AI helps you review faster while your team keeps the final call.

Assessment

Repo-based take-home challenges

Give candidates a take home project worth reviewing: a real repo, a familiar workflow, and code your team can discuss with confidence. Automated AI review surfaces repo structure, testing gaps, and follow-up ideas so reviewers can focus on signal.

Assignments matched to your stack, role, and hiring bar
Candidates use their own tools and submit reviewable Git changes
Automated AI review flags repo structure, testing gaps, and follow-up ideas
Open the same codebase in CodePair for follow-up

Bytes

Short coding screens with real signal

Bytes gives teams faster top-of-funnel signal with short, job-relevant tasks that show how candidates read requirements and move code forward.

Short exercises based on real engineering problems
See how candidates interpret requirements, write code, and make decisions fast
Candidate-friendly experience without trivia or awkward live screens
Natural first step before larger take-homes or CodePair

CodePair

Live coding interviews in a shared codebase

Beyond vibe coding, CodePair gives you a shared IDE, terminal, and repo so you can see how candidates read code, debug problems, collaborate, and use AI with judgment in real time.

Work together in a real codebase with multi-cursor editing and full project context
Build, run, and debug applications side by side with terminal access included
The AI agent is visible to both sides, so prompts and decisions are part of the interview
Start from a take home submission when you want deeper follow-up
components/UserDashboard.tsx
interface UserProps {
id: string;
name: string;
email?: string;
}

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AI challenge creator: Turn a role brief into a custom take-home challenge.Real tasks, not brainteasers.

Take-Home Challenges

Repo-based take home challenges show how candidates scope, build, and submit code in their own environment. You get something worth reviewing, with clearer signal and less grading busywork.
Work that matches the job: Candidates solve realistic product and engineering problems instead of memorized interview puzzles.
Extensive challenge library: Start from proven assignments across major languages and frameworks, or upload one built around your stack.
Candidate-first Git workflow: Candidates work on their own machines, with their own tools, and submit reviewable changes your team can actually discuss.
Create or remix with AI: Start from a job post, a role brief, or an existing assignment and let AI draft the first version in a real repo.
Frontend Engineer
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Example of a take-home coding challenge on CodeSubmit

We've found with CodeSubmit, the process isn't just simple for candidates, it's also giving our hiring managers a better idea of potential job performance.

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Cillié Burger
Chief Technology Officer @ Klar!
Cillié Burger

Live interviews in the codebase that matters.

CodePair

CodePair turns any submission into a live collaborative session inside the original repo. Instead of whiteboard hypotheticals, your team can ask follow-ups grounded in shipped code and real tradeoffs.
Shared repo, real collaboration: Pair in the full codebase with multi-cursor editing and the same context on both sides.
Visible AI usage: See when candidates reach for AI, what they ask, and how they validate the result.
Builds, previews, and debugging in one place: Run the app, inspect output, and work through decisions live.
Natural follow-up on submitted work: Start from the take-home or Bytes task they already completed so the conversation stays grounded in actual code.
components/UserDashboard.tsx
interface UserProps {
id: string;
name: string;
email?: string;
}

Short coding screens with real engineering signal.

Bytes

Bytes gives teams a faster first read with short coding tasks grounded in realistic requirements. It is a better filter than trivia, and a better experience than another synthetic screen.
Job-relevant problem solving: Candidates work from tests and realistic requirements instead of memorized algorithms.
Faster early-stage signal: Give hiring teams a quick, structured read on how candidates interpret specs and move code forward.
Better candidate experience: Focused tasks, familiar workflows, and none of the whiteboard theater.
Strong bridge into deeper evaluation: Use Bytes before larger take-homes or live pairing when you want a faster first screen.
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Pirate Name
Typescript Byte
9/10 tests passed

Integrates with your ATS

Integrate with Greenhouse, Lever, Personio, Zapier, Ashby, and other tools to track and manage all your candidates in one place. Stay on top of interview results by receiving on-time and actionable notifications.

AI can suggest code. You still need engineers who can ship it.

CodeSubmit helps teams skip weak signals and spot engineers who can turn AI output into real, shippable code.

Real signal from the start

Assessments and Bytes show who can build, debug, and make tradeoffs in realistic workflows.

Faster review, less engineer time

AI highlights repo structure, gaps, and follow-up topics so interviews start deeper.

Human judgment stays central

The platform speeds up review, but your team decides who gets hired. No automated scoring, ever.