Mastering agentic workflows with ADK for Java: Sequential agents
In the first part of this series , we explored the “divide and conquer” strategy using sub-agents to create a flexible, modular team of AI specialists. This is perfect for situations where the user…
Read the full articleYou might also wanna read
Research Study: How Experienced Software Developers Use AI Agents in Development Workflows
The rise of AI agents is transforming how software can be built. The promise of agents is that developers might write code quicker, delegate
Introducing Command Line, and the new rules for builders
Agentic AI is here, and the traditional software development lifecycle is broken. Get ready for what comes next by shifting your workflows a
Introducing Command Line, and the new rules for builders
Agentic AI is here, and the traditional software development lifecycle is broken. Get ready for what comes next by shifting your workflows a
Running Multiple AI Coding Agents in Parallel
How to run multiple AI coding agents simultaneously using Git worktrees and structured workflows without losing control of your codebase.
Practical Challenges in AI Agent Design and Development
My Agent abstractions keep breaking somewhere I don’t expect.
AI Agent Workflow Patterns: Building Multi-Step Automation with MCP
How to build multi-step AI agent workflows using MCP — covering workflow patterns (sequential, parallel, conditional, human-in-the-loop), fr
Build reliable multi-agent applications with ADK Go 2.0. Discover our new graph-based workflow engine, built-in human-in-the-loop, and dynamic orchestration
The Agent Development Kit (ADK) for Go 2.0 has been released, introducing a first-class, graph-based workflow engine to help developers comp

Comments
Sign in to join the conversation.
No comments yet. Be the first.