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InfoQ AI, ML and Data Engineering Trends Report - 2025
This InfoQ Trends Report offers readers a comprehensive overview of emerging trends and technologies in the areas of AI, ML, and Data Engineering. This report summarizes the InfoQ editorial team’s and external guests' view on the current trends in AI and ML technologies and what to look out for in the next 12 months.
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MCP: the Universal Connector for Building Smarter, Modular AI Agents
In this article, the authors discuss Model Context Protocol (MCP), an open standard designed to connect AI agents with tools and data they need. They also talk about how MCP empowers agent development, and its adoption in leading open-source frameworks.
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The Missing Layer in AI Infrastructure: Aggregating Agentic Traffic
In this article, author Eyal Solomon discusses AI Gateways, the outbound proxy servers that intercept and manage AI-agent-initiated traffic in real time to enforce policies and provide central management.
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Keep the Terminal Relevant: Patterns for AI Agent Driven CLIs
Well-designed CLIs are crucial in the agentic AI era—serving both human users and autonomous agents with precision and reliability. Treat CLI output formats as stable API contracts and prioritize adoption of the MCP protocol for agent integration from day one.
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Agentic AI Architecture Framework for Enterprises
To deploy agentic AI responsibly and effectively in the enterprise, organizations must progress through a three-tier architecture, Foundation tier, Workflow tier, and Autonomous tier where trust, governance, and transparency precede autonomy.
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InfoQ Software Architecture and Design Trends Report - 2025
The InfoQ Trends Reports offer InfoQ readers a comprehensive overview of key topics worthy of attention. The reports also guide the InfoQ editorial team towards cutting-edge technologies in our reporting. In conjunction with the report and trends graph, our accompanying podcast features insightful discussions among the editors digging deeper into some of the trends.
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Eclipse LMOS: Launching AI Agents across Europe at Breakneck Speed
In this talk, the authors share some of our company’s key learnings in developing customer-facing LLM-powered applications deployed across Europe. They used multi-agent architecture and systems design to create an open-source set of tools, a framework, and a full-fledged platform to accelerate the development of AI agents. This is a summary of a presentation from InfoQ Dev Summit Boston 2024.
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Living in the Matrix with Bytecode Manipulation
In this article we take a deep dive into two popular bytecode manipulation frameworks: Javassist & ASM. Bytecode manipulation is used in Java libraries like Spring and Hibernate, most JVM languages and even your IDE. For this reason, and because it’s really quite fun, it is a valuable skillset to learn for performing tasks that are otherwise impossible. And once you learn it, the sky's the limit!
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F# Deep Dives Review and Author Q&A
F# Deep Dives, edited by Tomas Petricek and Phillip Trelford, is a new book aimed at showing what is the business value that using F# brings in practice. The book presents 11 real industrial scenarios and the way F# allowed field experts to solve them using a functional-first approach. InfoQ has interviewed Tomas Petricek, co-editor of the book.