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Companies should be careful about budgeting as though AI has already given them both a larger road map and a smaller need for engineering expertise.
Our expectations for JavaScript, SQL, microservices, cloud, Docker, Java, and other parts of the ‘modern stack’ are being undermined by facts on the ground.
ROI of generative AI initiatives becomes clear when teams measure workflows and operate the system under a budget. Here is a plan for moving past pilots.
.NET SDK allows C# developers to work with the protocol that standardizes how agents communicate with user-facing applications.
Modern HPC system building blocks based on 3rd Generation Intel Xeon Scalable Processors have high memory bandwidth per core, and improved AVX512 and Turbo options that have made stacking less of a performance penalty than in the past.
A long-lived token embedded in GitLab’s issue-creating email address means anyone with the address, not just the project owner, can push code and trigger CI/CD jobs subject to the account’s existing permissions.
Plans for JDK 28 include value objects, generational garbage collection, strict field initialization, a simple JSON API, and PEM encodings of cryptographic objects. Ahead-of-time code compilation has been proposed.
The unique requirements of building and operating agents call for an extended form of the conventional software development life cycle — an agent development life cycle.
Latest release of the Swift programming language promises core library improvements, faster builds, clearer debugging, and better interoperability with C, C++, Java, and Wasm.
JetBrains Air system will comprise existing and future tools for executing, controlling, and governing software delivery workflows involving developers and autonomous agents.