Realistic technical work
Candidates work inside bounded, role-relevant scenarios instead of abstract puzzles or open-ended unpaid projects.
Private pilots in development
Evidence-based technical assessment for the AI-assisted engineering era.
Aestivar is building realistic, time-boxed engineering assessments that reveal how candidates investigate, build, validate and use AI—not only whether the final code passes.
- Real engineering work
- Controlled AI tools
- Reviewable evidence
The assessment model
Measure the work that actually matters.
Traditional coding tests compress engineering ability into a narrow result. Aestivar is designed to expose the decisions behind the result.
AI use assessed, not prohibited
The assessment makes judgement visible: how candidates prompt, challenge, verify and take ownership of AI-assisted output.
Evidence beyond final code
Reviewers can evaluate investigation, trade-offs, testing and validation—not simply whether a repository ends in a passing state.
Current status
Preparing the first private pilots.
The platform and initial assessment tracks are under active development. We are speaking with engineering leaders who want a more credible way to evaluate AI-assisted technical work.
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