The friction
Traditional hiring assumes developers work without AI. Modern software engineering doesn't. Syntax-only screens miss how candidates prompt, debug, and review AI-generated code in real codebases.
Vezra | AgentBench
AgentBench: The Evaluation Sandbox for the AI Era
Don't just test how they code. Evaluate how they build with AI in secure, browser-native IDE environments — with workspace telemetry, not invasive proctoring.
Choose your path
The sandbox
AgentBench monitors engineering trace telemetry — git history, prompt logs, test runs — in isolated VMs. You get actionable signal without webcam proctoring or shared-workspace risk.
AgentBench for Developers
Prove how you build with AI
Skill validation, career advancement, and production-grade AI workflows — in sandboxes that respect how you actually work.
- Validate AI-augmented engineering skills employers actually need
- Build a portfolio of real sandbox missions, not algorithm trivia
- Learn production-grade AI workflows in isolated, professional IDEs
AgentBench for Hiring Teams
Evaluate AI-augmented engineering at scale
Enterprise-grade sandboxes with deterministic scoring and telemetry replay for every candidate.
- Reduce false positives from syntax-only screens
- Prevent data leaks with secure, non-training model endpoints
- Review rich workspace telemetry instead of invasive proctoring
Built for the AI-augmented engineering workflow
Enterprise-grade isolation, telemetry, and model access — designed to measure how developers actually build today.
Plagiarism-Proof Environments
Zero-shared-state VM isolation guarantees test integrity and secure IP protection. Candidates work in an instant-loading, Monaco-powered IDE — professional editor feel, no local setup, no shared workspace contamination.
Execution Trace Analysis
Measure AI Literacy vs. Dependency. See exactly how candidates prompt, debug hallucinations, and review AI-generated code.
Enterprise-Grade AI Native
Provide native access to top-tier models via secure, non-training endpoints. Test integration skills without risking data leakage.
How it works
From ATS invite to actionable hiring signal in three steps.
Step 1
Frictionless Invite
Send an AgentBench link directly from your ATS.
Step 2
AI-Augmented Engineering Sandbox
Candidates inherit a complex codebase and ship features in a browser-native Monaco IDE alongside AI assistants — zero local setup.
Step 3
Actionable Context Signal
Receive a deterministic Vezra Context Score and human-AI efficiency playback from workspace telemetry.
Built for Developers. Respectful of Your Workflow.
We evaluate how effectively you use AI as a force multiplier. No invasive webcam proctoring. Use your own keyboard shortcuts. We expect you to use AI to generate boilerplate and scaffold tests.
FAQ
Will I be penalized for using AI?
No. You are expected to use AI. We evaluate your ability to collaborate with it and review its output.
Can I use local keyboard shortcuts?
Yes. The sandbox is powered by the Monaco Editor (the engine behind VS Code), meaning core editor shortcuts and muscle memory carry over.
Is my session webcam proctored?
No. We grade your system design via workspace telemetry (git history, prompt logs), not invasive screen recording.
AgentBench Beta
Currently working with early design partners and pilot customers
Join the waitlist to get access when we expand the private beta for engineering teams and hiring organizations.