Real‑world coding projects for better hires
Multi‑file, job‑relevant projects that assess how candidates actually build, debug, and collaborate.
Make the screen feel like the job.
A multi-file repo in your stack—with file tree, tests, console, and logs. Candidates extend a feature, fix a bug, and explain choices so you see how they work in your environment.
Fast and fair scoring that gives you clear signals
Standardized scoring plus consistent evaluation criteria reduces reviewer drift and builds trust in the decision.
Evaluate in your real environment.
Mirror your setup with customizable dev environments—choose the language/framework, pre-load dependencies, and work in a repo that looks and behaves like production.
Work with AI, not around it.
See who can prompt, verify, and refactor under constraints. Rubrics and logs separate solid engineering from crutchware.
One flow from screen to interview.
- 1 Basic screening call
- 2 Async screen with Projects
- 3 Handoff to live interview
- 4 Final decision
-
Shared context
into interviewCarry the same code, tests, and report forward so interviews start with real work—not a reset.
-
Pair-programming
and collaborationWork together in a collaborative IDE with name-tagged cursors, console, and tests to simulate day-to-day teamwork.
-
Soft skills
in focusReveal communication, trade-off thinking, and collaboration through live debugging, code review, or design discussions.
-
Consistent journey,
faster decisionsUse one platform from screen to offer to keep signals strong, candidate experience smooth, and hiring timelines short.
The speed with which we can make decisions on candidates has significantly sped up
Global Director of Talent Acquisition, Personio
Ready to hire better engineers faster?
-
Faster time-to-hire Shortlist in minutes with automated scoring; customers achieve a 20%+ reduction in time-to-hire.
-
More engineering capacity Fewer first-round and late-stage interviews give 40+ hours per hire back to the team and keep product work moving.
-
Higher signal, better hires Realistic, multi-file projects improve predictive validity and better align with on-the-job performance.
-
Candidate experience that converts Relevant work creates a premium, fair process—candidates assessed on job-ready skills are more likely to accept offers.