New capabilities leverage Generative AI to instantly translate complex API schemas into human-readable insights, bridging the skills gap between security teams and developers. PALO ALTO, Calif., Jan.
A hands-on test compared Visual Studio Code and Google Antigravity on generating and refining a simple dynamic Ticket Desk ...
Yottaa, the leading cloud platform for accelerating and optimizing eCommerce experiences, today announced the launch of its ...
A major outage at internet infrastructure firm Cloudflare knocked parts of the internet offline, disrupting access to X, NJ Transit, ChatGPT and other major platforms ...
MCP is emerging as a common interface for wiring models to external systems. By shipping a reference server for the Ads API, Google lowers the integration cost for LLM agents that need campaign ...
This change will allow AI applications to access and analyze Google Ads data through natural language for the first time. The MCP Server for Google Ads is now publicly available on GitHub, Google ...
Microsoft’s declarative REST and GraphQL API design tool supports MySQL and Postgres as well as Azure databases and works anywhere you can run a Docker container. Microsoft Azure is now so big it’s ...
A JSON prompt is a simple text-based way to instruct an AI model using a JSON object so that tasks, constraints, and expected outputs are explicit and machine‑readable, which improves accuracy and ...
JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts clear, explicit, and machine-readable. Unlike traditional ...
The once heavily lopsided rivalry between AMD and Intel in pursuit of market share and the revenue that comes with it has become a much more tightly contested battle. Case in point, AMD sent us a ...
Google Gemini's one of the most powerful features is Deep Research, but up until now, it has been strictly limited to the Gemini interface. This could change soon. With Deep Research in Gemini, you ...
Abstract: Organizations that transition to microservices architectures see their API count rise quickly because they must continuously create and modify APIs through decomposition and evolution and ...
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