Claim
Read the candidate’s résumé and identify specific technical claims.
Foxy inspects real public work, asks questions grounded in the candidate’s code, and gives recruiters a technical verdict they can explain.
Built for full-stack engineering teams. No generic question banks.Recruiters receive hundreds of engineering CVs.
Generic AI interviewers ask the same generic questions. Foxy starts with the candidate’s actual repositories, technologies, and decisions, then probes what the evidence supports and what it does not.
Build your first evidence-backed interviewEvery interview follows one transparent chain. Each step keeps its receipts, so every verdict can be traced back to real work.
Read the candidate’s résumé and identify specific technical claims.
Use Context.dev to inspect GitHub projects, tools, tests, and implementation signals.
Generate role-specific questions tied to the strongest evidence and the important gaps.
Grade technical accuracy, depth, and requirement alignment with every reason attached.
Every verdict connects the original claim, public evidence, interview answer, and scoring rationale. Missing evidence creates a better question, not an accusation.
ReportCandidate · Alex Morgan“Strong implementation depth across React and Node. AWS remains unverified and should be reviewed by a human.”
Chat naturally or switch to hands-free voice. Questions adapt to each answer. Code questions appear inline when the role requires them.
Candidate experienceCreate multiple jobs, invite candidates, follow interviews in real time, and review evidence, scores, transcripts, and recordings.
Recruiter workspaceParses uploaded résumés and turns public GitHub work into structured project and technology evidence.
Runs authentication, realtime application state, AI actions, results, transcripts, and recording storage.
Built the candidate experience, interview intelligence, realtime backend, proctoring, and production deployment.

Create your first Full-Stack Engineer interview and invite a candidate in minutes.