Features
Live observation of candidates using Claude Code and Codex
Real-time split view: terminal, code editor, AI chat
Full audit trail: every file read/write, command, AI interaction
Built-in code workspace with backend, frontend, scripts, tests
Supports multiple AI agents simultaneously
Custom scenario-based coding tasks
Time-stamped event log for post-interview review
Assesses AI prompt engineering skill
Multi-stage Dockerfile optimization scenario
Kubernetes resource tuning exercise
Integration with GitHub repositories
Collaborative evaluation tools for hiring teams
Candidate replay with session analytics
Real VM with VS Code and dependencies pre-configured
GPU available for specialized tasks
Autonomous vulnerability scanning and PR generation
PR review for quality, security, and best practices
Legacy COBOL to Java migration with testing
Incident triage and root cause analysis
Agent Canvas: manage multiple agents in one workspace
Cloud agents run even when your machine is off
Schedule recurring tasks via cron or event triggers
Trigger workflows from GitHub, Slack, PagerDuty
Model-agnostic: supports Claude Code, Codex, Gemini CLI, MiniMax M2.7
Isolated sandbox execution on VM or cloud
Fine-grained access control and budget guardrails
Audit trails for enterprise compliance
Self-hosted deployment in your VPC
Open-source SDK for custom agent development
In-chat model switching with saved LLM profiles
