InfoQ Homepage Articles
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Inflection Points in Engineering Productivity as Amazon Grew 30x
In this article, Carlos Arguelles elaborates on how engineering productivity needs a shift as organizations scale. He shares examples from his time at Google and Amazon, explaining how some architectural decisions made at these companies shaped the way they develop software. Engineering productivity investments depend on inflection points, scale, controls, data, and tooling choices.
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Mocking gRPC in Spring Boot Microservice Integration Tests with WireMock
Mocking gRPC services allows you to validate gRPC integration code during your tests while avoiding common pitfalls such as unreliable sandboxes, version mismatches, and complex test data setup requirements. Learn how to use WireMock’s Spring Boot integration to mock gRPC services.
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AI Interventions to Reduce Cycle Time in Legacy Modernization
In this article, we share our experiences and insights on how large language models (LLMs) helped us uncover and enhance the conceptual constructs behind software. We discuss how these approaches address the inherent complexity of software engineering and improve the likelihood of success in large, complex software modernization projects.
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RxJS Best Practices in Angular 16: Avoiding Subscription Pitfalls and Optimizing Streams
This article delves into modern Angular (16+) RxJS best practices. It emphasizes using AsyncPipe for templates, flattening streams with operators, ensuring proper cleanup with takeUntil and DestroyRef, implementing error handling, and combining RxJS with Angular signals for efficient state management, ultimately leading to future-proof and maintainable code in Angular 17/18.
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How to Scale Your Impact at the Staff-Plus Level
This article demystifies what "Staff-Plus" expectations actually look like, drawing on real promotion and performance reviews experiences. It maps out career ladders, digs into promotion patterns and the key behaviors that consistently help high-performing engineers to reinvent themselves, and introduces the concept of "staff projects" which top performers use to drive their careers forward.
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Binary Size Matters: the Challenges of Fitting Complex Applications in Storage-Constrained Devices
This article explores developing software for microcontrollers in C or C++, where constraints are the limited amount of volatile memory and the embedded hardware platform on which the software runs. It shows how to adopt languages like C++ while optimizing for binary size due to stringent hardware constraints, and trade off between runtime efficiency and binary size in architecture decisions.
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Beyond the Gang of Four: Practical Design Patterns for Modern AI Systems
In this article, author Rahul Suresh discusses emerging AI patterns in the areas of prompting, responsible AI, user experience, AI-Ops, and optimization, with code examples for each design pattern.
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Large Concept Models: a Paradigm Shift in AI Reasoning
Differently from LLMs, Large Concept Models (LCMs) use structured knowledge to grasp relationships between concepts, enhancing the decision-making process and providing a transparent reasoning audit trail. Using LCMs with LLMs can facilitate building AI systems that can analyze complex scenarios and effectively communicate insights, driving towards developing more reliable and explainable AI.
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From Code to Charisma: Emotional Mastery for Tech Leaders
In tech, leadership is about more than managing projects—it's about influencing teams and driving collaboration. This article explores how understanding the brain’s states—rational, emotional, and survival—can enhance decision-making and innovation. By mastering emotional regulation, trust, and psychological safety, leaders can empower teams to thrive and unlock their full potential.
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Best Practices to Build Energy-Efficient AI/ML Systems
In this article, author Lakshmithejaswi Narasannagari discusses the sustainable innovations in AI/ML technologies, how to track carbon footprint in all stages of ML systems lifecycle and best practices for model development and deployment.
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InfoQ Culture and Methods Trends Report - 2025
This report summarizes how the InfoQ Culture and Methods editorial team sees the ongoing and emergent trends in the culture and methods space.
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Domain-Driven RAG: Building Accurate Enterprise Knowledge Systems through Distributed Ownership
Retrieval augmented generation (RAG) can help reduce LLM hallucination. Learn how applying high-quality metadata and distributing ownership of documents and prompts to domain experts can further increase accuracy in RAG applications. An additional layer of intelligence can use metadata to focus RAG searches on a specific domain for even better results.