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Google’s cloud-based, AI-assisted development environment offers three different modes of interacting with the company’s Gemini AI model.
The Akka Agentic Platform includes capabilities for orchestrating long-running systems, building agents, providing in-memory context to agents, and providing high-performance stream processing.
Industries with significant field operations are poised to leverage mobile AI agents for operational agility. Here’s a first look at rolling out mobile AI in construction, manufacturing, and healthcare.
VS Code 1.102, otherwise known as the June 2025 release, builds out GitHub Copilot Chat capabilities and finalizes support for the Model Context Protocol.
Microsoft and partners are building an open toolkit to add natural language interfaces to web content, using the Model Context Protocol to serve both humans and AI agents.
Gemma 3n models are multimodal by design and available in two sizes that operate with as little as 2GB and 3GB of memory, Google said.
Use the Python version of Google's agent development toolkit to quickly develop AI-powered agents with diverse workflows.
Developers have nothing to fear from generative AI, but self-cultivation is key.
Someday, we won’t even look at the code that our AI agent produces. We’ll take it for granted, just as we do the assembly code in our software today.
AI Runners connect models running on local machines or private servers directly to Clarifai’s cloud-based AI platform.