AI tools have shifted engineering from manual coding to architectural thinking. Traditional tests are now obsolete. OpenLevel measures the new reality: building complex systems with AI.
Here's the uncomfortable truth: traditional algorithm-based assessments tell you almost nothing about whether a candidate can build real software in 2026.
Any candidate with Claude or GPT can solve "hard" algorithm problems in minutes. You're no longer testing skill. You're testing who has access to AI.
The right engineers know how to leverage AI, make smart architectural choices, and build production systems. Wrong hires are those who memorized algorithm puzzles and use AI to cheat during tests but can't actually build anything real.
Proctoring frustrates real engineers who work best with tools. You end up blocking great candidates while cheaters find workarounds.
The average bad hire costs $50,000+ and takes 3-6 months to discover. Don't let outdated assessments cost you twice.
Instead of fighting AI, we built tasks that require talented engineers to orchestrate it by making architectural decisions, guiding the AI, and understanding tradeoffs that AI alone can't make.
Candidates get a full IDE, AI agent, and file system. They build actual working software.
Complex system design and debugging. AI assists but can't replace human expertise.
Every keystroke and command is captured. We tell you how they think, not just what they write.
We measure how candidates leverage AI as a force multiplier, not a crutch. Find the engineers who build systematically.
A complete, seamless hiring workflow designed specifically for the AI era.
Invite candidates with a unique link. They verify their identity with a PIN and choose their language.
Invite candidates with a unique link. They verify their identity with a PIN and choose their language.
Candidates work in a real IDE with a powerful AI agent, just like they'd use on the job.
Candidates work in a real IDE with a powerful AI agent, just like they'd use on the job.
Our AI evaluates code quality, architectural decisions, problem-solving approach, and AI tool leverage.
Our AI evaluates code quality, architectural decisions, problem-solving approach, and AI tool leverage.
Get a detailed breakdown of their engineering signal including architecture, AI usage, and code quality. Decide if they move forward.
Get a detailed breakdown of their engineering signal including architecture, AI usage, and code quality. Decide if they move forward.
Schedule a live coding interview. Our AI generates smart probing questions based on their initial solution to dig deeper.
Schedule a live coding interview. Our AI generates smart probing questions based on their initial solution to dig deeper.
Fill out your hiring decision with structured evaluation. Build a history of assessments to improve hiring.
Fill out your hiring decision with structured evaluation. Build a history of assessments to improve hiring.
Transparent pricing built for the AI era. No hidden fees.
Everything you need to evaluate AI-era engineers
Advanced toolkit for growing engineering teams
Enterprise-grade assessment infrastructure
Everything you need to know about credits, plans, and how OpenLevel evaluates AI-native engineering talent.
One credit includes a full take-home style assessment plus the follow-up live code review.
It is a follow-up session where your team reviews the candidate’s submitted solution live, asks tradeoff questions, and validates how they reason through changes in real time.
Yes. OpenLevel is built for AI-era workflows, so candidates are expected to use AI tools. We evaluate how effectively they use them.
The Starter Pack is a one-time offer for new signups: 3 credits for $35 (normally $70), with full access to all platform features for those 3 credits.
Launchpad fits small teams getting started, Scale is for teams hiring continuously, and Enterprise is for orgs that need custom security, support, and pricing.
You get structured scoring, activity visibility, and an interview-ready signal summary to support hiring decisions.
Have questions? We'd love to hear from you.