The A2A protocol addresses the need for autonomous AI agents to coordinate actions across a wide array of applications and ...

Kotlin-based framework for building asynchronous applications also now automatically deserializes configuration files into ...

AI initiatives fail for a handful of well-known reasons. Developers, data scientists, and technology leaders hold the keys to ...

The technology, which enables rapid business transformation, requires a new data layer—one built for speed, scale, and ...

The move affects users of GitHub’s most advanced AI models, including Anthropic’s Claude 3.5 and 3.7 Sonnet, Google’s Gemini ...

Dead code, security false positives, and idle cloud capacity are the leading drags on devops in Java environments. Here’s how ...

Risks of relying too heavily on AI for software development include bias in the data used to train models, cybersecurity ...

New offerings from AWS, Google Cloud, and Microsoft Azure have upended the sovereign cloud services market—and raised ...

Generative AI vendors are quickly learning not to ignore developers, or developer experience, in the rush to bring new AI ...

Why use expensive AI inferencing services in the cloud when you can use a small language model in your web browser?

Firecrawl redefines web data acquisition for the AI era, offering developers an enterprise-grade tool kit that abstracts away ...

Reasoning model optimized for cost and speed shines for high throughput tasks like classification or summarization at scale, ...