The technical layer of the interview, rebuilt for the AI era
The technical interview is broken. Coding tests have collapsed into a cheating arms race, and the capability that actually matters — engineering effectiveness in an AI-augmented workflow — is not measured anywhere. Basanite is the technical layer rebuilt for the AI era.
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The research
Capability is a shape, not a number. Basanite scores every candidate across eight metacognitive dimensions drawn from cognitive science and the literature on human–AI collaboration.
Read the methodology →The process
A two-round assessment: a conversational round that reveals what a candidate thinks, and an AI Collaboration Workbench round that reveals what they actually do.
Most hiring tools measure how well someone can approximate a good candidate.
Basanite measures whether they actually are one.
Design philosophy
The central conviction behind every design decision at Basanite: most hiring tools are optimised for the wrong signal. They measure how well someone can approximate the idea of a good candidate, rather than whether they actually are one.
Each layer of the assessment exists to move one level deeper into signal quality. A candidate who answers fluently at the surface should encounter ground that shifts beneath them at the next layer. The edges of real ability are blurry. Performed ability has no edges.
By anchoring every evaluation to consistent frameworks and explicit scoring criteria, a self taught engineer without institutional pedigree can be seen as clearly as one from a target university. Both are asked the same questions, in the same spirit, with the same depth of follow up.
Basanite flags where human expertise is required, produces quotable evidence rather than opaque scores, and positions itself as infrastructure that makes human judgment better, not the mechanism that replaces it.
The best hiring processes leave candidates with a clearer understanding of themselves. Every assessment strategy deployed by Basanite can be honestly explained to the candidate it is applied to.
For hiring teams
For candidates
The team
Engineers and AI researchers from Manchester, building the hiring tool we wish existed.
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