Month: June 2025

Large language models are non-deterministic by design. Here's how you can inject a little bit of determinism into GenAI workflows.

WayForward is a renowned video game studio that was founded in 1990. The company has developed games for publishers such as Capcom, Konami, and Nintendo and has released their games across major hardware platforms from the last 35 years. They are also the creators of the Shantae series of 2D platformers. WayForward recently developed the The post WayForward Games with Tomm Hulett and Voldi Way appeared first on Software Engineering Daily.

Edge computing is redefining how we deploy and manage machine learning (ML) models. Instead of sending every data point to the cloud, DevOps at the edge brings model inference directly onto IoT devices — enabling low-latency predictions, offline operation, and improved privacy.  However, pushing AI to a fleet of heterogeneous, resource-constrained devices introduces new complexities. This article explores how DevOps practices can be applied to edge ML deployments on IoT hardware. We will discuss key tools, walk through a hands-on example of deploying a model to an IoT device with CI/CD, and address common challenges (model versioning, limited compute, intermittent connectivity) along the way.

Digital twins and IIoTs are evolving technologies that are transforming the digital landscape of supply chain transformation. The IIoT aims to connect to actual physical sensors and actuators. On the other hand, DTs are replica copies that virtually represent the physical components. The DTs are invaluable for testing and simulating design parameters instead of disrupting production elements. Still, the adoption of both technologies remains limited in real-world scenarios.   This article explains the Industrial Internet of Things (IIoT) and digital twins (DT) technologies, and how they transform business and the global environment to optimize supply chain ecosystems.

One of the most immediate and high-impact applications of LLMs has been in software development. The models can significantly accelerate code writing, but with that increased velocity comes a greater need for thoughtful, scalable approaches to codereview. Integrating AI into the development workflow requires rethinking how to ensure quality,security, and maintainability at scale. CodeRabbit is The post CodeRabbit and RAG for Code Review with Harjot Gill appeared first on Software Engineering Daily.

Introduction: The Moment It Clicked — From Convenience to Contextual Intelligence I still vividly recall a particular brainstorming session at Amazon, the hum of whiteboard markers and the scent of lukewarm coffee filling the room. My team and I were neck-deep in the intricate challenge of weaving Alexa into a sprawling home automation system. We weren't just integrating devices; we were grappling with the nuances of creating a truly responsive environment. It was in that moment, as we debated the finer points of event-driven architectures and state synchronization across disparate protocols, that it truly clicked for me: this wasn't merely about convenience anymore. This was about reshaping the very fabric of how we live, how we interact with our digital and physical worlds, and how technology can genuinely anticipate our needs. As a software development manager with a longstanding affinity for distributed systems, I've witnessed countless technological shifts. Yet, few have captivated me as much as the potent convergence of the Internet of Things (IoT) and artificial intelligence (AI), especially when it comes to personal assistants. The sheer potential for these technologies to deliver hyper-personalized, almost clairvoyant experiences and fundamentally enhance our daily lives is immense. But let's be honest, getting there is a tightrope walk, fraught with complex technical challenges that demand not just dexterity, but deep, insightful engineering.

Edge computing has transformed how we process and respond to data. By taking compute capability to the point of data, such as cameras, sensors, and machines, businesses can make decisions faster, reduce latency, save on bandwidth, and enhance privacy. AWS empowers this revolution with a set of edge-capable services, most notably AWS IoT Greengrass. In this article, we'll give an example of how to run a machine learning model (YOLOv5) on an edge device via AWS IoT Greengrass v2 to identify objects in real-time within a retail setting. This is a fault-tolerant and scalable solution appropriate for an intermittently cloud-connected environment. Let's look at a Retail Store Video Analytics on the Edge.

Before you can build an Internet of Things (IoT) application, you need a solid foundation. An IoT framework acts as the scaffolding, ensuring that your system works smoothly and can connect with other devices. A well-structured framework makes it easier for devices to communicate, scale, and stay secure. From picking the right hardware to choosing communication protocols, from setting up edge computing to securing your network, each piece plays a role in creating a reliable and future-ready IoT system. In this guide, we’ll walk through the key steps to building a strong, scalable IoT framework that’s built for performance, security, and real-world application.

Emulating retro games on modern consoles is a growing trend, and allows players to experience classic titles with improved performance, enhanced resolution, and added features like save states and rewinding. However, this process raises many challenging technical questions related to hardware compatibility, performance optimization, rendering, and state management. Implicit Conversions is a company focused on The post Emulating Retro Games on Modern Consoles with Robin Lavallée and Bill Litshauer appeared first on Software Engineering Daily.

Welcome back to SED News, a podcast series from Software Engineering Daily where hosts Gregor Vand and Sean Falconer break down the latest stories in software engineering, Silicon Valley, and wider tech world. In this episode, Gregor and Sean unpack what’s going with Deel and Rippling, explore why Databricks and Snowflake are making big bets The post SED News: Corporate Spies, Postgres, and the Weird Life of Devs Right Now appeared first on Software Engineering Daily.