Build AI-ready teams with real engineering signal

Run take-home projects, short coding screens, and live coding interviews to assess how candidates turn requirements into working code and make technical decisions, including when they use AI.

Assessment

Give candidates a repo-based take-home project shaped like the role, with code your engineers can inspect, discuss, and extend in the next round.

Projects matched to your stack, seniority, and hiring rubric
Candidates use their own tools and submit Git changes for review
Automated AI review summarizes repo structure, testing gaps, and follow-up prompts
Open the submitted repository directly in CodePair for live 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
Submission ready for reviewATS
Warden security check
Passed
AI review
12 files · 4 prompts
Senior Engineer pipeline

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Platform

Assess the skills that ship product

Evaluate product engineers with repo-based take-homes, timed coding screens, and live pairing in familiar tools.

Take-Home Challenges

Take-home projects in Git repos

Candidates work in a repository with their own tools and submit Git changes. Your team gets the code, automated AI review notes, and follow-up questions for the next round.

Submitted Git changes

Inspect the candidate's commits, file changes, and tests in a familiar repository workflow.

AI review notes

Scan a summary of repo structure, testing gaps, and suggested questions before reading the code.

CodePair

Live pairing in a shared IDE

Interviewer and candidate share the same IDE, terminal, and AI chat, keeping the discussion anchored in runnable code.

Python
TypeScript
Java
Go
Rust
+19
Python, TypeScript, Go, Java, and more
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Bytes

Timed coding screens for early rounds

Short, practical exercises test how candidates read requirements, write logic, and pass test suites before you assign a larger project.

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 interviewers and candidates a shared IDE, terminal, and repository so you can evaluate debugging, collaboration, and in-session AI use together.

  • →Shared workspace and project context: Navigate files, edit with multiple cursors, and talk through tradeoffs in the same repository.
  • →Shared AI chat: Both sides see the in-session AI conversation, including what candidates prompt and how they inspect, test, and refine generated code.
  • →Builds, previews, and debugging in one place: Run the application, inspect terminal output and failing tests, and work through fixes live.
  • →Direct handoff from take-home submissions: Open a candidate's completed take-home repository in CodePair to review their architecture, test coverage, and next changes together.

Familiar coding agents

Bring Claude Code, Codex CLI, and other coding agents into your live interviews and take-home workspaces. Your team decides which agents are available.

Explore the IDE
1M+
Challenges completed
500+
Engineering teams
40+
Languages & frameworks
4.8/5
Candidate satisfaction

Integrates with your ATS

Connect CodeSubmit with Greenhouse, Lever, Personio, Zapier, Ashby, and other tools to track candidates and assessment statuses in one place. Your team gets notified when submissions and interview results are ready to review.

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.

Sample Take-Home draft
Explore Challenge Creator
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

Review the work before the next interview

Combine early screens, take-home projects, and live pairing in one workflow. AI helps structure the review while your engineers make the hiring call.

Choose the format

Use short coding screens or AI phone calls early, then move to repo-based projects and live pairing when you want to see candidates build and debug.

Prepare the review

Automated summaries highlight repo structure, test coverage gaps, and follow-up prompts before an engineer reads the diff.

Plan the next round

Use the candidate's code or interview answers to decide what to discuss in the next round.

Audi
Customer spotlight

Audi uses CodeSubmit to run realistic technical assessments and give candidates a more professional interview experience.

Set up your next technical interview

Start a free trial to explore the library or draft your first assessment. No credit card required.