Hire 100x Agentic Engineers

Evaluate how well a candidate works with coding agents

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Deep Analysis

SPEC QUALITY82

CONTEXT ENGINEERING91

TASK DECOMPOSITION76

VERIFICATION RIGOR88

ITERATIVE REFINEMENT69

ARCHITECTURAL OWNERSHIP85

Everything you need to evaluate agentic skills

Deep insights across 9 dimensions of how engineers collaborate with AI coding agents.

Spider Chart

9-axis radar visualization of agentic capabilities

829176886985739478SPEC QUALITYCONTEXT ENGINEERINGTASK DECOMPOSITIONVERIFICATION RIGORITERATIVE REFINEMENTARCHITECTURAL OWNERSHIPDEBUGGING PROWESSDELEGATION JUDGMENTSESSION EFFICIENCY

AI Analysis

Should I hire this candidate?
Strong hire. They scored 91 in context engineering and 94 in delegation — top-decile agentic skills. Minor gap in iterative refinement (69) but overall profile is well above your team benchmark...

Candidate Pipeline

Track every candidate from invite to hire

Alex Chen
88↑
Jordan Lee
76↑
Sam Patel
71→

Comparison Mode

Side-by-side candidate analysis

Deep Charts

Detailed breakdown for each main metric

Team Dashboard

Aggregate insights and share with team

47
Evals
12
Comparisons
76
Avg AQ
24
Candidates
6
Members
AQ Trend (8 weeks)