Your Candidates All Use AI Now. Your Take-Homes Can't Tell You Who's Actually Good.
DynaLab gives candidates a real codebase, a terminal, and an AI assistant. We capture every prompt, verification step, and decision. You get a 7-dimension scorecard. Automated scoring.
See What Your Reviewers Won't Have To
DynaLab captures every prompt, verification step, and recovery pattern — then scores it automatically.
Candidate codes with AI
Real codebase, terminal, AI assistant
We capture everything
50+ behavioral signals per session
You get a scorecard
7-dimension automated scoring
How it works
From role pack to scorecard in four simple steps.
Create a Role Pack
Choose from real engineering tasks — debugging, refactoring, code review, incident response. Set time limits and customize for your role.
Invite Candidates
Send assessment links via email. Candidates get a browser-based IDE with a full codebase and an AI assistant — no installs required.
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.
Review Scorecards
Get a 7-dimension calibrated scorecard across 3 tiers with evidence for every score. Compare candidates side-by-side on consistent criteria.
Evidence-Based Scoring. Not Gut Feelings.
Two developers can write the same fix through completely different processes. One explores the codebase, provides precise context to AI, and verifies every suggestion. The other pastes the error message and accepts whatever comes back. Research shows behavioral patterns predict code reliability better than output metrics (Nam & Kim, IEEE TSE). We capture every prompt, verification step, and recovery pattern.
Caught 3 incorrect AI suggestions
Referenced 4 files in prompts
Ran tests after every change
Sample Scorecard
Debug Database Connection Pool
Each dimension includes timestamped evidence from your actual session — edits, prompts, test runs, and decisions.
Built on Peer-Reviewed Research
Every dimension in our scoring framework is grounded in published research on developer effectiveness.
Live coding interviews measure anxiety, not ability
All women failed public whiteboard interviews. All passed private ones.
Behroozi et al., ESEC/FSE 2020
DynaLab assessments are private, async, and in a real IDE.
AI usage without verification produces worse code
AI-generated code has a 41% higher churn rate than human-written code.
GitClear, 2024 (153M lines analyzed)
We score verification discipline, not just task completion.
How developers use AI matters more than whether they use it
AI-generated code has 41% higher churn when developers accept suggestions without verification.
GitClear, 2024 (153M lines analyzed)
DynaLab measures 7 behavioral dimensions of AI collaboration — verification, context, and critical evaluation.
Structured assessments predict job performance 2x better
Structured interviews have 2x the predictive validity of unstructured ones.
Sackett et al., 2022 (Meta-analysis, J. Applied Psychology)
Every DynaLab scorecard uses the same calibrated rubric.
The Math Isn't Close
Teams using automated scorecards spend a fraction of the time reviewing candidates — and get more consistent, evidence-backed signal.
per assessment on Growth plan
vs hours of senior engineer review time
assessment time (replaces take-homes)
vs 4-8 hour traditional take-homes
calibrated dimensions across 3 tiers
vs pass/fail on other platforms
How DynaLab Compares
Traditional assessments miss how engineers actually work with AI. DynaLab captures the full picture — process, not just output.
| Capability | DynaLab | Take-Home Projects | Whiteboard / HackerRank |
|---|---|---|---|
| Time investment | 2-4 hours async, 5 min scorecard review | 4-8 hours candidate, 1-2 hours reviewer | 45-60 min live |
| AI assistance | Built-in, captured, and scored | Uncontrolled (can use anything) | Usually banned |
| What's measured | Full process — verification, context, recovery | Final output only | Algorithm correctness |
| Scoring | 7 calibrated dimensions with evidence | Subjective reviewer opinion | Pass/fail |
| Predictive validity | 2x higher (structured, calibrated scoring) | Unknown (no standardization) | Low (measures anxiety, not ability) |
| Candidate experience | Real engineering work with AI tools | Frustrating, unpaid labor | Stressful, unrealistic |
| Reviewer effort | Minimal — automated scorecard, quick review | 1-2 hours per submission | Real-time attendance required |
| Bias mitigation | Async, private, standardized rubric | Reviewer bias, no rubric | Performance anxiety, interviewer bias |
| Standardization | Full — same rubric, comparable scores | None | Limited |
| Cost per assessment | ~$3 per assessment | 1-2 hours senior engineer time per submission | $150+ (platform + interviewer time) |
Time investment
2-4 hours async, 5 min scorecard review
Take-home: 4-8 hours candidate, 1-2 hours reviewer
Whiteboard: 45-60 min live
AI assistance
Built-in, captured, and scored
Take-home: Uncontrolled (can use anything)
Whiteboard: Usually banned
What's measured
Full process — verification, context, recovery
Take-home: Final output only
Whiteboard: Algorithm correctness
Scoring
7 calibrated dimensions with evidence
Take-home: Subjective reviewer opinion
Whiteboard: Pass/fail
Predictive validity
2x higher (structured, calibrated scoring)
Take-home: Unknown (no standardization)
Whiteboard: Low (measures anxiety, not ability)
Candidate experience
Real engineering work with AI tools
Take-home: Frustrating, unpaid labor
Whiteboard: Stressful, unrealistic
Reviewer effort
Minimal — automated scorecard, quick review
Take-home: 1-2 hours per submission
Whiteboard: Real-time attendance required
Bias mitigation
Async, private, standardized rubric
Take-home: Reviewer bias, no rubric
Whiteboard: Performance anxiety, interviewer bias
Standardization
Full — same rubric, comparable scores
Take-home: None
Whiteboard: Limited
Cost per assessment
~$3 per assessment
Take-home: 1-2 hours senior engineer time per submission
Whiteboard: $150+ (platform + interviewer time)
Beta Status
Assessment Tasks
Debugging, reviews, triage, frontend, DevOps
Scoring Dimensions
Calibrated per-task behavioral analysis
Behavioral Signals
Captured from every session automatically
DynaLab is in beta. These are platform capabilities, not customer claims.
Run a Pilot. See the Evidence.
We'll set up your first role pack and run 3 candidates through — free. See real scorecards on your actual hiring pipeline before committing.
5 free assessments included. No credit card required.