Tools

Google’s Agent Platform remote MCP server bridges IDEs and cloud governance

Google introduces a remote MCP server for the Gemini Enterprise Agent Platform that lets external agents in tools like Claude Code securely interact with Google Cloud resources such as Model Garden, prompt templates, and Colab notebooks—without leaving the IDE, and with Cloud IAM policies enforced by default.

Read MoreGoogle’s Agent Platform remote MCP server bridges IDEs and cloud governance

The power of multi-model Spanner for the agentic era

If you're building AI agents that need deep context from structured, semantic, and graph data, this article explains why Google Spanner's native multi-model architecture—unifying graph, vector search, full-text, and analytics in a single ACID engine—is the foundation to bet on. It backs the claim with Gartner's #1 ranking and a Forrester study showing 132% ROI.

Read MoreThe power of multi-model Spanner for the agentic era

Async Inference: Why the Future of AI Agents Runs on Queues, Not Real-Time

The article argues that as AI agents shift from real-time chat to background batch work, inference infrastructure must follow. Sail Research builds an async inference stack that queues requests, routes to the cheapest capable open model, and uses spot capacity to cut costs dramatically—GLM-5.1 on Sail costs 6x less per token than Anthropic's Haiku.

Read MoreAsync Inference: Why the Future of AI Agents Runs on Queues, Not Real-Time

Databricks’ Agent Cloud: Why Open Source and LTAP Matter for AI

Databricks co-founders Matei Zaharia and Reynold Xin unpack Omnigent (an open-source meta-harness above coding and enterprise agents), LTAP (their database bet for live transactional data in column-oriented formats), and why agent security, spend controls, and a common API matter more than ever. The thesis: traditional software gets rewritten once the data is in the right place and agents sit on top.

Read MoreDatabricks’ Agent Cloud: Why Open Source and LTAP Matter for AI

Build real agentic apps using CUGA: lightweight harness, two dozen examples

CUGA (Configurable Generalist Agent) is an open-source harness from IBM that strips away the repetitive plumbing of agentic apps, letting you focus on tools and prompts. With two dozen single-file examples and built-in governance, it shows how to build agents that scale from a laptop to a governed production deployment without rewriting.

Read MoreBuild real agentic apps using CUGA: lightweight harness, two dozen examples

AI Security After Codex and Claude Code: New Vulnerabilities and Guardrails

This episode from Gray Swan's cofounders explains why AI agents create a new class of security vulnerabilities that traditional cybersecurity cannot solve. Essential for engineers deploying Codex, Claude Code, or similar agents — prompt injection, automated red-teaming, and the lethal trifecta are must-understand concepts.

Read MoreAI Security After Codex and Claude Code: New Vulnerabilities and Guardrails