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  • Zero-Knowledge Proofs for the Layman

    This article will introduce you to zero-knowledge proofs, a kind of cryptography you can use to provide the proof you know a secret, such as a private key or the solution to a problem, without ever sharing it to an interested party. While many articles exist on the topic, this will not require any high math knowledge.

  • AWS Lambda under the Hood

    Mike Danilov, a senior principal engineer at AWS, presented on AWS Lambda and what is under the hood during QCon San Francisco 2023. This article represents the talk, which will start with an introduction to Lambda itself to outline the key concepts of the service and its fundamentals, which will facilitate a deep dive into the understanding of the system.

  • 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.

  • 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.

  • Agile Architecture, Lean Architecture, or Both?

    When it comes to software architecture, should you adopt an agile or a lean approach? The answer, of course, is "it depends." Agile is better suited for situations where you know what you need, but not how to build it. Lean is more appropriate when requirements are certain and you want to optimize a well-known process.

  • 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.

  • The Hidden Cost of Using Managed Databases

    The rising popularity of managed relational databases brings hidden costs, and informed decisions are crucial for optimal use. This article shows the importance of monitoring service expenses, revising default settings, and understanding operational constraints, considering limitations like reduced flexibility and observability.

  • Advice for Engineering Managers: Enabling Developers to Become (More) Creative

    As an engineering manager, it is your responsibility to help facilitate creative thinking skills among the development team, but that's easier said than done. This article provides advice on how can you help amplify the creative thinking skills of your software development colleagues. We examine how different levels of creativity influence creativity and strategies to encourage creativity.

  • 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.

  • Four Steps to Achieving Operational Flow and Improving Quality in Tech Teams

    No matter the team or organisation size, there’s always more to do than is possible to get done. That’s why it’s so important for work to flow effectively. This article discusses four steps to achieving operational flow and improving quality in tech teams.

  • 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.

  • Multiplying Engineering Productivity in the Face of Constant Change

    Leaders know that they need to support organizational efficiency, but how they do that can vary based on the situation and context of the organization. Learning how to utilize a few key leadership frameworks in certain environments can help maintain the appropriate level of support, urgency, and independence when situations shift.

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