Build AI-ready teams with real-world technical assessments
CodeSubmit lets you run take home projects, short code screens, and live interviews in real codebases. AI speeds up review, but your team makes the call.
Assessment
Repo-based take-home challenges
Give candidates work worth reviewing: a take-home in a real repo, with Git workflow included. AI summarizes repo structure and testing gaps so your team can focus on real follow-up, not boilerplate.
- Assignments matched to your stack, role, and hiring bar
- Candidates use their own tools and submit reviewable Git changes
- AI 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 that feel like real engineering
CodePair gives you a shared IDE, terminal, and repo so you can run live coding interviews in the same environment engineers use on the job. See how candidates read code, debug problems, collaborate, and explain their thinking as it happens.
- 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

Real tasks, not brainteasers.
Take-Home Challenges
- 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.

Live interviews in the codebase that matters.
CodePair
- 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.
Short coding screens with real engineering signal.
Bytes
- 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.
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.

