About SkillFoundry

Amichai Shamah started SkillFoundry after watching technical hiring debriefs fail the only test that matters to a legal or compliance team: could someone who was not in the room reconstruct the decision? He previously worked at Palo Alto Networks, where the engineers being hired would be trusted with security products. The debrief still collapsed into whether a candidate felt senior enough. Interview notes rarely held the argument. The record was a mood, not evidence.

That gap is harder to ignore now. AI copilots are part of ordinary engineering work, and a whiteboard cannot show whether someone directed a pair, checked a diff, or accepted generated code that only looked finished. Automated employment decision rules ask employers to explain job-related criteria and to show how a tool treated people. A hiring team that cannot audit a whiteboard cannot answer those questions, and it cannot coach the next interviewer from anything sturdier than memory.

The product follows that experience. SkillFoundry puts candidates on repo-based, ticket-style tasks and keeps the artifacts: the repository, the tests, and a written account of how the work was done. Scoring describes direction and verification of AI output instead of treating the use of an assistant as the finding. Reviewers share a published set of behavioral dimensions, and counsel can read the trail. The thesis is simple. If a debrief cannot be reconstructed, it should not decide someone's job.

The limits of that trail are written down as well. See Trust & Compliance for the security and compliance posture, including what is live and what is still in progress.