InfoQ Homepage Programming Content on InfoQ
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Effective Practices for Architecting a RAG Pipeline
Hybrid search, smart chunking, and domain-aware indexing are key to building effective RAG pipelines. Context window limits and prompt quality critically affect LLM response accuracy. This article provides lessons learned from setting up a RAG pipeline.
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/articles/causal-reasoning-observability/en/smallimage/causal-reasoning-observability-thumbnail-1756372623637.jpg)
How Causal Reasoning Addresses the Limitations of LLMs in Observability
Large language models excel at converting observability telemetry into clear summaries but struggle with accurate root cause analysis in distributed systems. LLMs often hallucinate explanations and confuse symptoms with causes. This article suggests how causal reasoning models with Bayesian inference offer more reliable incident diagnosis.
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/articles/kotlin-multiplatform-evaluation/en/smallimage/kotlin-multiplatform-evaluation-thumbnail-1756451872984.jpg)
Evaluating Kotlin Multiplatform: Benefits and Trade-Offs in Cross-Platform Development
KMP is emerging as an alternative for cross-platform development, offering a path to share code without sacrificing the performance and feel of a native application. KMP comes with its own set of trade-offs and this article dives deep into those. While it focuses primarily on Android and iOS, KMP can be used to build desktop, web, and server-side applications, all from the same shared logic.
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/articles/mcp-connector-for-building-smarter-modular-ai-agents/en/smallimage/mcp-connector-for-building-smarter-modular-ai-agents-thumbnail-1756277862571.jpg)
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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/articles/virtual-think-tank/en/smallimage/virtual-think-tank-thumbnail-1756195695462.jpg)
The Virtual Think Tank: Using LLMs to Gain a Multitude of Perspectives
The virtual think tank leverages LLMs to simulate diverse stakeholder and expert perspectives, enabling architects to explore trade-offs, challenge biases, and refine decisions. By prompting personas of real industry experts, the method fosters rich, contextual debates—offering a scalable, low-cost alternative to a traditional think tank.
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/articles/ai-infrastructure-aggregating-agentic-traffic/en/smallimage/ai-infrastructure-aggregating-agentic-traffic-thumbnail-1755682463373.jpg)
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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/articles/zero-downtime-cloud-upgrades/en/smallimage/zero-downtime-cloud-upgrades-thumbnail-1754398638654.jpg)
Zero-Downtime Critical Cloud Infrastructure Upgrades at Scale
Engineers can avoid common pitfalls in large-scale infrastructure upgrades by studying others' experiences. The article provides lessons learned from big firms like eBay and Snowflake, offering solutions for legacy systems, performance validation, and rollback planning. It emphasizes systematic preparation and clear communication to handle challenges and ensure zero-downtime upgrades at scale.
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/articles/infusing-ai-java/en/smallimage/infusing-ai-java-thumbnail-1754979423763.jpg)
Infusing AI into Your Java applications
Equip yourself with the basic AI knowledge and skills you need to start building intelligent and responsive Enterprise Java applications. With the help of our simple chatbot application for booking interplanetary space trips, see how Java frameworks like LangChain4j with Quarkus make it easy and efficient to interact with LLMs and create satisfying applications for end-users.
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/articles/aws-sandbox-as-a-service/en/smallimage/aws-sandbox-as-a-service-thumbnail-1754387123420.jpg)
Sandbox as a Service: Building an Automated AWS Sandbox Framework
This article outlines an automated AWS Sandbox Framework to provide secure, cost-controlled environments for innovation. It leverages AWS services like Control Tower and open-source tools to automate provisioning, enforce security policies, manage resource lifecycles, and optimize costs through automated cleanup and governance.
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/articles/ai-agent-cli/en/smallimage/ai-agent-cli-thumbnail-1754471958152.jpg)
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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/articles/backend-finops-cost-efficiency/en/smallimage/thumbnail-backend-finops-cost-efficiency-1754301935666.jpg)
Backend FinOps: Engineering Cost-Efficient Microservices in the Cloud
Backend FinOps integrates financial discipline into microservices, crucial for cutting cloud costs. Challenges such as resource fragmentation and cold starts underscore the need for intelligent design, effective language choice, robust tagging, and automation. Implementing FinOps via IaC, CI/CD checks, and dynamic autoscaling (e.g., Karpenter) ensures sustained efficiency.
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/articles/jakarta-ee-11-overview/en/smallimage/jakarta-ee-11-overview-thumbnail-1753179997354.jpg)
Jakarta EE 11 Overview: Virtual Threads, Records, and the Future of Persistence
Jakarta EE 11 delivers enhancements that include support for Java 17 and 21, integration with Java records and virtual threads, and the introduction of the Jakarta Data specification for unified SQL and NoSQL persistence. This release simplifies enterprise Java and establishes the groundwork for Jakarta EE 12, which will advance capabilities in data management.