Take home projects in real repositories, with faster review and better follow up.
Let candidates shine in projects shaped like the role
The strongest candidates do their best work in familiar tools, with enough context to make thoughtful engineering decisions. CodeSubmit gives candidates a real repository, their own workflow, and a submission your team can review with confidence, save engineer time on, and carry into live follow up in the same codebase.
Assignment library
Projects shaped like the role
Start from a task that looks like the tickets your team ships. Use the library as the first step in a wider review and follow-up system, with clearer signal from the start.
- Repo-based project simulations
- 60+ languages & frameworks
- Use library tasks or upload your own
Submission workflow
Candidates work how developers actually work
Candidates work in their own environment, leave reviewable commits behind, and give your team a cleaner read on code quality and decision-making.
- Clone, code, commit, and push
- Own tools and IDE setup
- Reviewable diffs instead of snapshots
CodePair continuation
Carry the same codebase into live follow up
Create CodePair sessions directly from take-home submissions. Use the same codebase to probe state decisions, async flow, tests, and tradeoffs with the work already on screen.
- Import the original submission
- AI-suggested follow-up prompts
- Live collaborative review
AI review
Summaries that speed up human review
Use AI to summarize candidate code, surface likely risks, and generate sharper review notes. The goal is faster human review, not outsourcing the hiring decision.
- Code quality and structure summaries
- Testing and risk highlights
- Follow-up guidance for reviewers
I like how the library challenges are structured around on-the-job skills. The experience for candidates is excellent. They work locally with the IDE and tools they are most comfortable with.
Candidate Experience
Give candidates a real repo, not a browser toy
No browser sandboxes or toy prompts. Candidates use Git, their editor, and their own setup. Submissions are diffs your team can review, not snapshots you cannot trust. The result is more honest signal about how someone will work on day one.
Submission -> Review -> Follow-Up
Turn submissions into better interviews
The strongest loop combines a realistic assignment, faster AI-supported review, and a live follow-up in the same codebase. Reviewers skip the boilerplate, and candidates get a fair shot to explain real decisions.