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Before REST/JSON made exchanging data and code between networked computers routine, we had arcane standards, brittle integrations, and lots of miserable developers.
The Eclipse open source platform for developing and orchestrating AI agents has been joined to ADL, a structured, model-neutral language and visual toolkit for defining AI agent behavior.
The strongly-typed language recently overtook both JavaScript and Python as the most used language on GitHub, with the rise is attributed to demand for AI-assisted development.
Thanks to new subscription plans and Chinese open-weight models, developers can have high-quality code generation on the cheap. Here are your best options.
A six-step framework for building a production-ready AI agent that handles those repetitive tasks you don’t want your IT team spending their days on.
Combination of Azul JDK and Cast AI app performance platform aims to improve Java runtime efficiency in Kubernetes-based public cloud environments.
ExecuTorch 1.0 allows developers to deploy PyTorch models directly to edge devices, including iOS and Android devices, PCs, and embedded systems, with CPU, GPU, and NPU hardware acceleration.
Turns out Java can do serverless right — with GraalVM and Spring, cold starts are tamed and performance finally heats up.
The explosion of AI tools means fewer programming jobs and more competition. Here’s why experts say some programming certifications are still worth your time.
Developers aren’t waiting while leadership dithers over a standardized, official AI platform. Better to treat a platform as a set of services or composable APIs to guide developer innovation.