Hire engineers who are force-multipliers with AI — not people who rubber-stamp it
Everyone uses AI now. The question that actually predicts performance is whether a candidate commands it well. Copilot Command scores how they orchestrate an AI pair engineer on a real task — and shows you the replay.
What we look at
We measure orchestration, not just output
A candidate can ship working code by accepting whatever the model says. Copilot Command separates the operators from the rubber-stampers.
Directing the work
Does the candidate give the AI clear, well-scoped work — or vague prompts and hope?
Owning the result
Do they check what comes back and make sound calls about what ships, or rubber-stamp generated code into the branch?
Evidence-based assessment
Judged on how AI is used, never on whether it was used
Using AI is not penalized. Evidence-based assessment looks at the judgment a candidate applies to AI output and whether they verified their work, with results reviewers can check against the evidence.
SkillFoundry is live. Evidence-based results become the primary score after a readiness review.
Defensible by design
Every orchestration score comes with its replay
Reviewers see exactly how the candidate worked with the AI, step by step. When a decision is questioned, the evidence is right there — not a black-box number.
- Consistent scenarios, so every candidate faces the same test.
- Session replay makes each score auditable end to end.
- Ran the tests before deciding and rejected a proposal that was not ready to ship.
- Requested a targeted revision with specific feedback before accepting the fix.
Illustrative orchestration score report.
See how a real candidate orchestrates AI
Walk through the reviewer replay hiring teams use to defend every orchestration score.