AI / ML Articles

Grab's Analytics Data Warehouse team describes how they deployed a multi-agent AI system to reclaim 40% of engineering time spent on repetitive data support tasks.

Analytics

Database

Automation

OpenAI to acquire Astral

OpenAI is acquiring Astral to accelerate Codex growth and advance the next generation of Python developer tools.

Building Distributed AI Agents

This post explores building distributed AI agents using the orchestrator pattern with Google's Agent Development Kit (ADK) and Agent-to-Agent (A2A) protocol.

Developers & Practitioners

Google Cloud

316 min read

AI•2026-03-18

Build a Multi-Agent System for Expert Content with Google ADK, MCP and Cloud Run - Part 1

This post introduces Dev Signal, a multi-agent system built with Google ADK that uses MCP servers to discover Reddit questions, research answers via Google Cloud docs, and generate technical blog posts with custom visuals.

Developers & Practitioners

Google

51 min read

AI•2026-03-18

Developer’s Guide to AI Agent Protocols

This article guides developers through key AI agent protocols (MCP, A2A, UCP, AP2) by building a practical restaurant supply chain agent using Google's Agent Development Kit (ADK).

Stripe

31 min read

AI•2026-03-18

Introducing the Machine Payments Protocol

Stripe and Tempo introduce the Machine Payments Protocol (MPP), an open standard enabling AI agents to transact autonomously on the internet.

Databricks

61 min read

AI•2026-03-17

SOTA Embedding Model for Agentic Workflows Now in Public Preview

Databricks launches Qwen3-Embedding-0.6B, a state-of-the-art multilingual embedding model for building retrieval-powered AI agents on enterprise data.

Ranking Engineer Agent (REA): The Autonomous AI Agent Accelerating Meta’s Ads Ranking Innovation

Meta's Ranking Engineer Agent (REA) is an autonomous AI agent that manages the end-to-end ML lifecycle for ads ranking models with minimal human intervention.

How we optimized Dash's relevance judge with DSPy

Dropbox engineering shares how they used DSPy to optimize their LLM-based relevance judge for Dash, achieving significant cost and quality improvements.

State of Open Source on Hugging Face: Spring 2026

This post examines how the open source AI ecosystem on Hugging Face evolved across competition, geography, and emerging communities through Spring 2026.

Deepmind

51 min read

AI•2026-03-17

Measuring progress toward AGI: A cognitive framework

Google DeepMind introduces a cognitive taxonomy framework for measuring progress toward AGI, accompanied by a Kaggle hackathon with a $200,000 prize pool.