---
title: "Runtime"
date: 2026-03-17
author: "Anton \"JD\" Titov"
---

# Runtime

In computer science, a runtime (or runtime environment) is the underlying software and hardware infrastructure required to execute a compiled or interpreted program. In the context of modern, AI-driven platforms like [Wippy.ai](https://wippy.ai), a runtime is an intelligent, self-modifying environment that allows AI agents to safely build, execute, and extend applications dynamically while the system is actively running.

**How a Modern Agentic Runtime Operates**

Traditional runtimes execute static code. An agentic runtime acts as an “intelligent application runtime” designed for unpredictable inputs and autonomous modifications. Key characteristics include:

- **Sandboxed Execution:** Because AI agents write and deploy code dynamically, the runtime isolates each process with its own security scope and permissions. If a process fails, the impact is contained.
- **Live Updates & Instant Rollbacks:** Code, configurations, and infrastructure can be changed without requiring system restarts. If an AI agent or human developer deploys a faulty update, the runtime maintains a full state history to revert changes instantly.
- **Polyglot Execution:** Modern runtimes often leverage WebAssembly (WASM), allowing the platform to execute code written in multiple programming languages safely within the same environment.

**Durable Workflows in the Runtime**

In platforms like [Wippy](https://wippy.ai/), the runtime is explicitly designed to survive crashes and restarts. Powered by orchestration engines (like [Temporal](https://stage.spiralscout.com/glossary/temporal)), the runtime automatically persists the state of an application. If a server goes down, the workflow resumes exactly where it left off upon recovery, ensuring that long-running operations and AI tasks are never lost.