One definition. Every platform. Proven correct.
Ship the builder and its full ecosystem.
Live JEPA gap diagnosis during building. Beam repair visualization when validation fails.
UI capture, console debugging, deployment verification, interaction recording.
Reverse-engineer existing apps into .orb programs. Tree-sitter AST extraction, Playwright crawling.
Production-ready serve and dev commands. Local LLM fallback. Template library.
Visual regression testing. Performance baselines. AI-assisted test generation.
Close gaps, harden the platform, go mobile.
Explicit bindings, lambda render props, backward compatibility.
Native mobile component library. Same definition, native output.
16 game atoms, 19 game molecules. Canvas and DOM hybrid rendering.
TypeScript, Python, Rust, Android, Swift shells produce identical behavior.
Enterprise-grade agent monitoring as a standalone product.
Extract agent-trace into its own product. Multi-tenant, team workspaces.
Real-time chain-of-thought, tool call timeline, cost tracking, gate progress.
Re-run agent sessions. Cost trends, success rates, failure patterns.
Free, Team, and Enterprise tiers. SSO, audit logs, custom retention.
Train and deploy custom ML models from Studio.
Production deployment pipeline for Python-compiled orbitals with PyTorch.
nn/*, tensor/*, train/*, data/* operators as first-class citizens.
Visual ML behavior composition. Training dashboards. Dataset management.
Trained models versioned alongside their definitions. One-click deploy.
The language stays the same. The compiler adds shells. The verification expands scope.
Rust embedded shell, no_std runtime for microcontrollers, hardware trait machines, IPC effects.
Linux-based OS where Orb is the native programming model. System services as orbitals.
Real-time trait machines for physical control. Sensor fusion, safety verification, multi-robot coordination.