Welcome to Catio Chronicles

Our engineers and product leads are already using AI to improve the way we design, build, and ship software across architecture, integration, planning, and execution. This post captures how five of us use AI to move faster, improve quality, and preserve control.

A major upgrade to Catio’s recommendation engine, now with business impact scoring built in. Teams can instantly prioritize architecture decisions by cost, complexity, and strategic value for faster, smarter results.

In our first episode of Architecture Deconstructed, we sat down with two seasoned engineering leaders - Satish Raghunath, who leads infrastructure engineering at Salesforce, and Emil Ibrishimov, head of engineering, product, and design at recruiting-tech startup Gem.

AI isn’t just a feature, it’s a new architectural layer. In this deep dive, we explore emerging architecture patterns for the AI-native enterprise, from agentic systems to LLM-as-interface, and what they mean for CTOs and architects designing for adaptability.

How Catio’s multi-agent recommendation engine brings AI-native intelligence to enterprise architecture. Learn how orchestrated AI agents deliver contextual, data-driven design insights across your tech stack.