App Development Studio for AI Agents, Mobile & Web Apps

Architectural Trade-Offs in Modulith Architecture: Managing Dependencies and Data Flow in Rewards Systems

How modular monolith architecture solves inter-service dependency friction and data access bottlenecks in complex online rewards systems.

Dependency Management: Expo & React Native Guide 2026

Dependency management in React Native and Expo is a critical discipline for build stability. Learn how to manage native modules and lockfiles to prevent release failures.

Agent Versioning for AI Agents: How to Safely Release Prompts, Tools, and Policy

How to implement versioned manifests for AI agents to ensure reproducibility and safe production releases. Avoid the pitfalls of mixing prompt, tool, and policy changes in a single state.

Expo SDK 57 and the Shift Toward Long-Term Stability

Expo SDK 57 introduces a refined release cadence aimed at reducing upgrade friction. Learn how this shift impacts your long-term mobile architecture and dependency management.

Why AI Agents Struggle with Large Production Migrations

AI agents often fail during production migrations because they optimize for local task completion rather than system-wide dependency invariants. Architects must implement strict sequencing controls to mitigate these risks.

Optimizing Expo CI/CD Workflows with Build Caching and Insights

Improve mobile delivery efficiency by leveraging EAS build caching and workflow monitoring. Learn how to track performance metrics and secure your React Server Components.

AI Coding Agents and the Dependency Supply Chain Crisis

AI coding agents often introduce unvetted transitive dependencies, creating significant supply chain risks. Architects must implement strict governance to maintain code integrity.