App Development Studio for AI Agents, Mobile & Web Apps

Reducing E2E Test Maintenance Overhead with Agentic Intent-Based Automation

Slack engineering shifts from brittle, script-based E2E testing to intent-based AI agents. This approach reduces maintenance overhead by adapting to UI changes dynamically.

Implementing Generative UI in React Native for Agent-to-User Interaction

Move beyond text-only AI responses by using component registries and schema validation to render native UI elements directly from LLM outputs.

Decoupling UI State from AI Agent Workflows

Moving state management outside of React components allows AI agents to control UI logic autonomously. This architecture improves maintainability and enables smarter, agent-driven interfaces.

A2UI v0.9: Standardizing Generative UI for AI Agent Workflows

A2UI v0.9 introduces a framework-agnostic standard for generative UI, enabling AI agents to drive existing component catalogs across web and mobile platforms. This release simplifies streaming and integration for production-grade agent systems.

Architecting Human-in-the-Loop Decision Gates for AI Agents

Move beyond simple manual approvals by implementing programmatic decision gates. Learn how to structure AI agent workflows that balance autonomy with human oversight.

Moving Beyond Chat: Standardizing Agent-to-User Interaction with Generative UI

Standardizing agent-to-user interaction requires moving beyond chat-only interfaces. Generative UI allows agents to dynamically render forms and controls, reducing integration friction.