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Article Contest: Write an Article for InfoQ and Win a QCon or Dev Summit Ticket
InfoQ encourages software practitioners and domain experts to submit full-length technical educational articles.
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InfoQ Software Architecture and Design Trends Report - April 2024
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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Adding a Natural Language Interface to Your Application
In this article, author Ashley Davis discusses how to add a natural language interface to a chatbot application using OpenAI REST API. He also shows how to extend the chatbot by adding voice commands using MediaRecorder API and OpenAI's speech transcription API.
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Getting Technical Decision Buy-In Using the Analytic Hierarchy Process
Making large, important technical decisions is a critical aspect of a senior individual contributor's role. This article examines how Comcast has employed the Analytic Hierarchy Process (AHP), a decision-making framework developed in the 1970s, and adapted it for making technical and non-technical decisions both large and small.
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How to Use Rust Procedural Macros to Replace Panic with syn’s Fold
In this article, we show how you can write advanced macros to step through Rust code and modify it. Using the standard tooling available in the syn crate, we first show how to change the occurrence of a panic into an Err. Then we go a step beyond and use the Fold trait to recursively step through the entire function, automatically executing a change in every applicable location.
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Testing Machine Learning: Insight and Experience from Using Simulators to Test Trained Functionality
When testing machine learning systems, we must apply existing test processes and methods differently. Machine Learning applications consist of a few lines of code, with complex networks of weighted data points that form the implementation. The data used in training is where the functionality is ultimately defined, and that is where you will find your issues and bugs.
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What's New in PHP 8.3
PHP 8.3 is the latest major update in the PHP 8.x series. In addition to performance improvements, it brings a wealth of new features, including amendments to the readonly feature introduced in PHP 8.1; explicitly-typed class constants; a new #[\Override] attribute for methods intended to be overridden from a superclass, and more.
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Generative AI: Shaping a New Future for Fraud Prevention
This article explores how generative AI affects fraud detection by reducing false positives and dynamically adapting to changing fraud patterns. This combination offers a potent preventive solution when integrated with machine learning. The efficacy and scalability of fraud prevention initiatives are enhanced by this innovative approach.
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Spring Boot 3.2 and Spring Framework 6.1 Add Java 21, Virtual Threads, and CRaC
Spring Framework 6.1 and Spring Boot 3.2 run on Java 21. They make concurrent programming simpler and more efficient with virtual threads, as well as improving reactive programming and Kotlin coroutines. For “Scale to Zero” startup time reduction, the OpenJDK project CRaC received initial support, while the existing GraalVM Native Image integration got faster through a GraalVM release.
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How to Deal with Complexity in Product Development by Using Solution-Focused Coaching
In this article, you will discover how and which parts of coaching and nuanced language can help you leverage your interactions to yield better results in product management. Integrating specific coaching principles can enhance the quality of your conversations by guiding dialogue to uncover actionable insights, foster trust, boost collaboration, and drive clarity in your objectives.
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Generative AI and Organizational Resilience
Generative AI will profoundly transform communication and information sharing over the next decade, but the change will be uneven across industries and roles. Organizations should empower workers to use AI augmentation thoughtfully, while building literacy on capabilities and limits. A balanced, conscientious integration, using iterations and customer feedback, will produce the best outcomes.
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Maximizing the Utility of Large Language Models (LLMs) through Prompting
In this article, authors Numa Dhamani and Maggie Engler discuss how prompt engineering techniques can help use the large language models (LLMs) more effectively to achieve better results. Prompting techniques discussed include few-shot, chain-of-thought, self-consistency, and tree-of-thoughts prompting.