Evaluate AI Coding Skills With Evidence, Not Guesswork

The question isn't "can they code?" — it's "can they build great software when AI writes most of the code?" We capture the full workflow and score what the research says actually predicts production quality.

Or try an assessment yourself — no sign-up required →

How it works

From role pack to scorecard in four simple steps.

1

Create a Role Pack

Choose from real engineering tasks — debugging, refactoring, code review, incident response. Set time limits and customize for your role.

2

Invite Candidates

Send assessment links via email. Candidates get a browser-based IDE with a full codebase and an AI assistant — no installs required.

3

We Capture Everything

Every prompt, edit, verification loop, and recovery pattern is captured. We detect behavioral patterns and score what research shows actually predicts production quality.

4

Review Scorecards

Get a 7-dimension calibrated scorecard across 3 tiers with evidence for every score. Compare candidates side-by-side on consistent criteria.

Your Hiring Dashboard

Everything you need to manage assessments and make data-driven hiring decisions.

Candidate Comparison

Compare candidates on the same task with skill profiles and behavioral patterns. See who explores before prompting vs. who sprays and prays.

Live Monitoring

Track active assessments in real-time. See progress, test results, and AI usage without interrupting the candidate.

Evidence Replay

Watch a timestamped replay of every candidate’s session. See their behavioral patterns — did they explore before prompting? Verify before committing? Recover from dead ends?

Scorecard Library

All completed scorecards in one place. Filter by role pack, score range, or date. Export for your records.

The Numbers

~$2

per assessment on Growth plan

vs $200+ on traditional platforms

30 min

average assessment time

vs 60-120 min take-home projects

7

calibrated dimensions across 3 tiers

vs pass/fail on other platforms

What Hiring Teams Are Saying

Early adopters are replacing take-home projects and whiteboard interviews with evidence-based AI skill assessments.

We replaced our take-home projects with DynaLab assessments. Candidates finish in 30 minutes instead of a weekend, and we get 10x more signal about how they actually work with AI.

James L.

VP of Engineering, Series C Fintech

The scorecard evidence trail is what sold our hiring committee. We can see exactly how each candidate approached the problem — not just whether they got the right answer.

Anika S.

Head of Talent, AI Infrastructure Startup

We used to have 4 engineers spend 2 hours each reviewing take-homes. Now one person reviews a scorecard in 5 minutes and gets better signal.

David C.

Engineering Director, Enterprise SaaS

Early beta users from

Fintech
Cloud
AI/ML
B2B
DevTools
E-commerce

Transparent, Auditable Scoring

Our scoring is calibrated per task — the same behavior is scored differently depending on task demands. Deterministic by default, with bounded LLM enhancement at ±15 points.

See our full scoring methodology

Enterprise-Ready Security

Data Encryption

All data encrypted at rest and in transit. TLS 1.3 for all connections.

GDPR Compliant

Full GDPR compliance with data processing agreements available for enterprise customers.

SOC 2

SOC 2 Type II certification in progress. Contact us for our current security documentation.

Data Residency

Assessment data stored in secure cloud infrastructure. Custom data residency options for enterprise plans.

Stop guessing. Start measuring.

75% of hiring processes will include AI proficiency tests by 2027. Start capturing the signal that matters now — 5 assessments free, no credit card required.