Build AI-ready teams with real engineering signal

Take-homes, focused screening tasks, and real-world live coding. AI changed the tools, not the fundamentals: sound judgment and working code that creates value.

Assessment

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 the real 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 project in CodePair for follow-up
Take-home challenge
Frontend Engineer Challenge
Terminal
$ git clone git.codesubmit.io/acme/frontend-challenge
$ cd frontend-challenge && npm install
$ git push origin main
→ Solution submitted
AI review ready
12 files reviewed · 4 follow-up prompts
Fully automated handoffATS
Warden security check
Passed
AI review
12 files · 4 prompts
Routed to Senior Engineer pipeline

Trusted by engineering teams worldwide

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Platform

Assess the skills that 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.

Python
TypeScript
Java
Go
Rust
+19
Python, TypeScript, Go, Java, and more
Explore CodePair

Bytes

Short coding screens with real signal

Job-relevant tasks that show how candidates interpret requirements and move code forward without whiteboard theater.

Python
JavaScript
TypeScript
Ruby
Java
+7
Python, JavaScript, TypeScript, Ruby, and more
Explore Bytes

CodePair

See how candidates 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.
CodePair
Pair in a real dev environment
TScomponents/UserDashboard.tsx
interface UserProps {
id: string;
name: string;
email?: string;
}
AI usage analyzedATS
AI readiness score
92 / 100 · Strong context, clear trust boundaries
Prompts
23
Accepted
73%
Reviewed
17
Interview notes + AI insights pushed to ATS
1M+
Challenges completed
500+
Engineering teams
40+
Languages & frameworks
4.8/5
Candidate satisfaction

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.

When the library gets you close

Make the challenge fit the role

Start with a library template, paste the role brief, or describe the work you want to see. Challenge Creator drafts the scope, files, candidate instructions, and rubric for a Take-Home, Byte, or CodePair. Your team shapes the final version before candidates see it.

Showing the real creator flow for Take-Home
The same component changes the intake, draft, files, and reviewer notes for the selected template.
Open creator page
AI intake
Role to challenge draft
Pick any library template or describe the gap. I will turn it into a draft your team can edit before candidates see it.
Use the React dashboard template for a senior frontend take-home. Focus on auth edge cases, tests, and component boundaries.
I will keep it repo-based and 2 to 3 hours. The draft will include route guards, session expiry, failing tests, and reviewer notes.
Creator captured
Senior frontendReact dashboardAuth workflow2 to 3 hours
Add constraints, rubric notes, or an existing prompt.
Drafting repo assignment
Creating
Based on the react-dashboard starter.
Draft
Take-Home

Admin Dashboard Auth Review

Senior React Engineer
2 to 3 hours

Candidates improve a realistic admin dashboard with guarded routes, session edge cases, tests, and a short review note. The work mirrors the frontend ownership they would take on after joining.

Candidate brief

README, setup, scenario, and deliverables.

Starter repo

Components, fixtures, mocks, and failing tests.

Review pack

Rubric, expected signals, and reviewer notes.

Rubric focus
  • Auth state is explicit and covered by tests.
  • Component boundaries stay readable under edge cases.
  • The candidate explains tradeoffs without overbuilding.
Starter pack12 files
README.md
.gitignore
src
App.jsx
auth.js
Dashboard.jsx
tests
auth-flow.test.jsx
fixtures
sessions.json
review
rubric.md
Take-home draft saved for human review.
Generated files can be edited before publishing.
Reviewing draft...
Generated file
README.md
Ready
# Admin Dashboard Auth Review
Improve the dashboard sign-in and session flow for internal admin users.
- handle expired sessions without losing unsaved filter state
- add route guards and test the redirect path
- leave a short review note explaining the tradeoffs
Reviewer focus: state ownership, testing, UX judgment, and cleanup discipline.

TRUSTED BY GLOBAL ENGINEERING TEAMS

Assess real engineering work. Hire with clearer signal.

From first screens to live interviews, 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.

The result comes with context

Open the code, conversation, and follow-up points behind it before deciding where to spend live interview time.

Audi
Customer spotlight

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.