AI writes the code. We score the engineer.
See how your candidates actually work with AI. Every prompt, verification step, and recovery pattern — scored against research-backed behavioral dimensions.
Engineer? Practice and build your skill profile →
Files
const pool = require('./db');
// Fix: increase pool size
pool.max = 20;
pool.on('error', handleError);
async function getUser(id) {
const conn = await pool.acquire();
return conn.query(`SELECT * FROM users`);
}
AI Assistant
const pool = require('./db');
// Fix: increase pool size
pool.max = 20;
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AI changed how engineers work. Hiring hasn't caught up.
Every developer now uses AI to write code faster. The question for hiring teams is no longer “can they code?” — it's “can they build reliably with AI?”
AI raised the bar
Every engineer now ships faster with AI. Hiring teams expect more velocity — but speed alone doesn't separate great engineers from the rest.
Not all engineers benefit equally
Stronger engineers provide better context, catch hallucinations, verify changes, and make better architectural decisions — even when using the same tools.
Traditional assessments can't tell the difference
Algorithm puzzles and take-home projects don't measure how engineers work with AI. You need assessments built for how your team actually ships code.
Process Telemetry, Not Gut Feelings
Two candidates can produce identical code through very different processes. We capture every prompt, verification step, and recovery pattern — so you see the engineering quality, not just the output.
Sample Scorecard
Debug Database Connection Pool
Each dimension includes timestamped evidence from the candidate's actual session — edits, prompts, test runs, and decisions.
How it works
From task to behavioral skill profile in under 30 minutes.
Pick a real engineering task
Real codebases with real problems — debugging production issues, catching subtle AI-generated bugs, reviewing pull requests. The tasks that reveal how someone actually engineers.
Work in a real environment
A browser-based IDE with a full codebase and AI assistant. Every prompt, file edit, test run, and decision is captured — we score the process, not just the output.
Get an evidence-based scorecard
A research-backed skill profile that detects behavioral patterns — explore-plan-execute vs. spray-and-pray — with every score linked to specific moments from the session.
Engineers are sharpening their AI skills with DynaLab.ai
Join engineers from top companies who are mastering AI-native workflows — and proving it with data.
96%
Completion Rate
30 min
Average Session
7
Skill Dimensions
“I realized I was blindly accepting AI suggestions without verifying. My first session scorecard called it out immediately — I went from D to B in two weeks.”
Sarah K.
Senior Engineer, Series B Startup
“The scorecard pinpointed my weakness: jumping straight to prompting without reading the code. Once I changed that habit, my verification scores jumped from 45 to 85.”
Marcus T.
Staff Engineer, Public Tech Co
“I thought I was good with AI tools until DynaLab showed me I was wasting half my prompts on vague requests. The specificity dimension was a wake-up call.”
Priya R.
Engineering Manager, FAANG
Early beta users from
What We Measure That Others Can't
Most platforms measure whether candidates can solve a problem. We measure how they solve it — because that's where the research says the signal actually lives.
| Capability | DynaLab.ai | Traditional Platforms |
|---|---|---|
| What it measures | How engineers work with AI — process, not just output | Whether candidates can solve algorithm puzzles |
| AI assistant | Built-in and scored — every prompt captured | Banned or unavailable |
| Skill dimensions | 7 calibrated dimensions across 3 tiers | Pass/fail or subjective interviewer notes |
| Evidence | Timestamped replay of every decision | Interviewer notes or code output only |
| Process scoring | Verification, context engineering, recovery patterns | Output correctness only |
| Task format | Real codebases and production scenarios | Algorithm puzzles or toy projects |
| Time to results | Under 5 minutes, fully automated | Hours to days, requires manual review |
| Interviewer required | No — fully async | Yes — often $200+ per live session |
Built for the AI era
The question has shifted from "can they code?" to "can they build great software when AI writes most of the code?"
For Hiring Teams
See how candidates actually work with AI — not just what they produce. Every prompt, verification step, and decision is captured and scored against research-backed behavioral patterns.
- Full process telemetry, not just output scoring
- Behavioral pattern detection across sessions
- Side-by-side candidate comparison
- Session replay with timestamped evidence
For Engineers
65% of AI code quality issues come from missing context. Practice the skills that actually differentiate — verification, context engineering, and knowing when AI is wrong.
- Real codebases, not algorithm puzzles
- Learn to verify, not just accept
- Shareable skill profiles for your portfolio
- Free to start — no credit card
Frequently Asked Questions
Common questions from hiring teams evaluating DynaLab.ai.
See How DynaLab.ai Evaluates Engineering Talent
Walk through a live assessment, review a sample scorecard, and see how the platform fits your hiring workflow.