Team Integration AI-first engineers embedded in your team. Agentic Systems Business processes automated with AI agents. Product Engineering Full product lifecycle, from idea to production.
Healthcare AI-driven operations for healthcare providers. eCommerce & Retail Commerce platforms that scale with your catalog. Fintech & Insurance Engineering squads building financial and insurance products. Travel & Hospitality Platforms that handle real booking volume. Energy & Sustainability Digital products for energy and sustainability companies.
Ruby on Rails Rails monoliths, upgrades, and scale work. Python Python services, data pipelines, and ML integration. Node.js Node.js APIs and event-driven backends.
Case Studies
Blog
How we work

Start a conversation

← All insights

Tagged #ai-agents

2 articles tagged with Ai Agents.

From one React Native and Expo codebase, through one approved spec and contract, to two native apps: iOS with Swift, SwiftUI and Xcode, and Android with Kotlin, Jetpack Compose and Android Studio

Oct 9, 2026 28 min

Two native apps, one spec: choosing between React Native and native when agents write the code

A decision guide for engineering leaders, with measured numbers, the trade-offs on both sides, and an open-source kit for teams that decide to move.

FM Filipe Martins

A white USB-C cable on a dark background — the universal port MCP wants to be for AI. Photo by Mishaal Zahed on Unsplash.

Sep 16, 2026 12 min

Building our first MCP and using it

From theory to action: build a custom MCP server in Python with tools, resources and prompts, test it with MCP Inspector, write a client, and plug it into Claude Code.

SI Sérgio Ildefonso