Software Engineering Daily

Engineering teams around the world are building AI-focused applications or integrating AI features into existing products. The AI development ecosystem is maturing, which is accelerating how quickly these applications can be prototyped. However, taking AI applications to production remains a notoriously complex process. Modern AI stacks demand LLMs, embeddings, vector search, observability, new caching layers,

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Package management sits at the foundation of modern software development, quietly powering nearly every software project in the world. Tools like npm and Yarn have long been the core of the JavaScript ecosystem, enabling developers to install, update, and share code with ease. But as projects grow larger and the ecosystem more complex, this older

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WebAssembly, or WASM, has grown from a low-level compilation target for C and C++ into one of the most influential technologies in modern computing. It now powers browser applications, edge compute platforms, embedded systems, and a growing ecosystem of languages targeting a portable and secure execution model. Andreas Rossberg is a programming languages researcher and

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Surveillance technology is advancing faster than the laws meant to govern it. Across the United States, police departments are deploying automated license plate readers, facial recognition tools, and predictive systems that quietly log the daily movements of millions of people. These tools promise efficiency and safety, but critics argue that they represent a form of

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Modern software development is evolving rapidly. New tools, processes, and AI-powered systems are reshaping how teams collaborate and how engineers find satisfaction in their craft. At the same time, developer experience has become a critical function for helping organizations balance agility, security, and scale while maintaining the creativity and flow that make top tier engineering

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