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- AI and Data
MCP (Model Context Protocol): the complete guide
MCP standardizes how AI models reach tools and data. Understand the client-server architecture, when to use it and how to write your own server.
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Henrico - AI and Data
AI agents: what they are and how they work
AI agents plan and execute tasks with tools, not just answer. See the architecture, the real limits and where to apply them without getting burned.
Read articleHenrico - Infrastructure and DevOps
Edge Computing: Why Local Processing Is Crucial Today
Edge Computing processes data near the source, cutting latency and optimizing real-time applications — essential for IoT, AI and autonomous vehicles.
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Platform Engineering: what it is and how it helps dev teams
Platform Engineering creates self-service internal platforms that abstract infrastructure. See benefits, differences from DevOps and how to adopt it.
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Design Patterns: what they are and how to apply them
Design Patterns are reusable solutions to recurring software design problems. See categories, practical examples, and when to apply each one.
Read articleHenrico - Career
Technology salaries in Brazil: a guide by role and level
How much do people who work in tech earn in Brazil? See salary ranges by role and seniority, the factors that matter, and how to negotiate better.
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AI for Customer Service: A Complete and Practical Guide
AI for customer service uses chatbots, voicebots, and data analytics to automate and personalize support. See types, advantages, and how to implement.
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AI for marketing: personalization and results at scale
AI in marketing automates campaigns, personalizes the journey at scale, and optimizes ads with data. Learn the benefits, tools, and how to get started.
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