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The A2A protocol addresses the need for autonomous AI agents to coordinate actions across a wide array of applications and data infrastructure, the Linux Foundation said.
Kotlin-based framework for building asynchronous applications also now automatically deserializes configuration files into data classes in addition to primitive types.
Developers and tech leaders share their risks, rewards, and best practices for integrating AI into the software development lifecycle.
Dead code, security false positives, and idle cloud capacity are the leading drags on devops in Java environments. Here’s how to address them.
AI initiatives fail for a handful of well-known reasons. Developers, data scientists, and technology leaders hold the keys to keeping them on track.
Generative AI vendors are quickly learning not to ignore developers, or developer experience, in the rush to bring new AI tools to market.
Firecrawl redefines web data acquisition for the AI era, offering developers an enterprise-grade tool kit that abstracts away web scraping complexities.
Why use expensive AI inferencing services in the cloud when you can use a small language model in your web browser?
Reasoning model optimized for cost and speed shines for high throughput tasks like classification or summarization at scale, Google said.
AI assistant in Parasoft C/C++test 2025.1 answers task-focused questions based on product documentation and integration with OpenAI, Azure OpenAI, or other LLM provider.