Build AI-ready teams with real engineering signal
Real coding tests. Fast screens. Live interviews in real dev environments. Learning paths that build stronger AI-ready teams. AI speeds review without replacing your judgment.
Trusted by engineering teams worldwide
Platform
Assess the skills that actually ship product
Take-home projects, live repo interviews, and fast coding screens in one platform built on real engineering tooling.
Take-Home Challenges
Real tasks, not brainteasers
Candidates build in a real repo with their own tools. You get reviewable Git work with automated AI review and structured follow-up questions.
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.
CodePair
Pair in a real dev environment
Shared IDE, terminal, and AI are visible to both sides, so the conversation stays grounded in the work on screen.
Bytes
Short coding screens with real signal
Job-relevant tasks that show how candidates interpret requirements and move code forward without whiteboard theater.
CodePair
See how candidates actually work in a full dev setup
CodePair gives both sides a shared IDE, terminal, and repo so you can watch real debugging, collaboration, and AI usage in context.
- →Shared environment, real collaboration: Pair in the full setup with multi-cursor editing and the same context on both sides.
- →Track real-world AI usage: See exactly when candidates reach for AI tools, what they ask, and how they test and validate the generated code.
- →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 the submitted work.
Learn
See, coach, and grow real AI engineering skills
Learn shows exactly how engineers use AI in code so you can baseline skills, guide growth, and give managers a clear view of team capability.
- →Track real engineering habits: See how teams set context, validate output, and review AI-assisted work in actual projects.
- →Give managers useful feedback: Replace generic scorecards with narrative coaching notes, team heatmaps, and clear next steps.
- →Build paths that match the work: Create role-based learning tracks aligned to your stack, workflows, and expectations.
- →Find coaching needs earlier: Spot gaps in judgment and execution from real delivery work, not generic training completion.
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.
TRUSTED BY GLOBAL ENGINEERING TEAMS
Assess real engineering work. Build AI-ready teams.
From hiring screens to learning paths, CodeSubmit keeps the signal grounded in real work and leaves the final judgment with your team.
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.
Audi uses CodeSubmit to deliver a more professional candidate experience and clearer hiring signal.
Real code reveals real talent
Launch your first assessment in minutes. No credit card required.