AIPs are design documents that summarize Google's API design decisions. They also provide a framework and system for others to document their own API design rules and practices.
AI gateway capabilities | Apigee | Google Cloud Documentation
Learn how to use Apigee AI gateway features to govern, optimize, and scale AI traffic.
AI Model & API Providers Analysis | Artificial Analysis
Comparison and analysis of AI models and API hosting providers. Independent benchmarks across key performance metrics including quality, price, output speed & latency.
API Integration
Learn about pre-built automation tools and integrations to help your business stay ahead of the curve and deliver IT-as-a service.
Google for Developers Blog - News about Web, Mobile, AI and Cloud
Explore how Google, Amazon, and Cisco form the Agent2Agent Foundation under the Linux Foundation to drive AI innovation via interoperability as an industry standard.
Full Spec MCP: Hidden Capabilities of the MCP spec — Harald Kirschner, Microsoft/VSCode
Google AI Plans with Cloud Storage - Google One
Explore Google AI Plans. Access our most advanced AI, generate videos from text, and secure cloud storage.
Augment Code Pricing - Plans for Teams and Enterprise
Simple, transparent pricing for AI-powered development. Plans for individuals, teams, and enterprise.
Web Install API Dev Spec
Web Install API Dev Design Spec Author: Amanda Baker, Diego Gonzalez, Kristin Lee, Lia Hiscock Spec status: Last updated: Links: Explainer | Chrome Status | CR bug | UX changes review doc Feature Overview Introduction Goals Non-goals Concepts Interfaces and Interactions JS API changes navig...
Semantic governance policies overview | Gemini Enterprise Agent Platform | Google Cloud Documentation
Learn how Semantic Governance Policies (SGP) secure AI agents and tool calls using Natural Language Constraints.
Google expands Gemini Enterprise, consolidates Vertex AI services to simplify agent deployment
Gemini Enterprise Agent Platform aims to help organizations to build, scale, govern, and optimize AI agents
Google for Developers Blog - News about Web, Mobile, AI and Cloud
LiteRT is the universal framework for on-device AI. The production stack delivers 1.4x faster cross-platform GPU performance, streamlined NPU acceleration, and superior GenAI support for open models like Gemma.
How Uber uses AI for development: inside look
How Uber built Minion, Shepherd, uReview, and other internal agentic AI tools. Also, new challenges in rolling out AI tools, like more platform investment and growing concern about token costs
Optimised API Management for the modern business
Join us as we unveil the path to optimised API management, tailored for modern enterprises.
Apple Updates Its On-Device and Cloud AI Models, Introduces a New Developer API
Apple revamped two vision-language models in a bid to catch up with fast-moving competitors.
Google maps the future of AI agents: Five lessons for businesses
Google's groundbreaking white paper reveals how AI agents leverage advanced reasoning, real-time data access and autonomous decision-making.
