// CATEGORY: AI DEVELOPMENT

Set up your development environment for building long-running AI agents with Google's ADK, Python, and Google Cloud, ensuring a solid foundation for …

Discover AIPack, an open-source agentic runtime for building, running, and sharing AI agents. Learn installation, core concepts, and create your first …

Prepare your development environment for building robust AI agents with the Flue Framework. This chapter covers Node.js, TypeScript, and initial Flue …

Prepare your system for AI agent development with AIPack. This guide covers Python, AIPack CLI, Ollama for local models, and VS Code setup for an …

Dive into AIPack by building your very first AI agent. Learn about the structure and purpose of .aip files, define multi-stage markdown agents, and …

Learn how to create and structure A2UI schemas for building interactive user interfaces using JSON.

Explore how Flue Framework's stateful sessions enable context-aware AI agents for multi-turn interactions and complex tasks, with practical examples …

Learn how to design and implement multi-stage markdown agents using AIPack, leveraging Lua for dynamic control flow and building robust AI workflows.

Learn how to integrate an AI agent with A2UI to generate static user interfaces using the Python ADK.

Learn how to add interactivity and manage state in A2UI-driven user interfaces.

Learn how to monitor and debug your Trigger.dev workflows effectively, understanding their lifecycle, logs, and task executions for robust production …

Learn how to connect your AIPack agents to various AI models, including local setups with Ollama and popular cloud provider APIs, for powerful agentic …

Learn how to incorporate dynamic data and implement data binding in A2UI for creating interactive agent-driven interfaces.

Learn how to orchestrate complex AI agents using popular frameworks like LangChain and LlamaIndex, integrating LLMs, tools, and memory for …

Implement robust logging for AI agent activities within Kanbots and understand the crucial steps for packaging and deploying your cross-platform …

Unlock the full power of Trigger.dev by learning about the Managed Connector Platform (MCP) and how to build custom connectors for proprietary systems …

Explore persistent agent memory, distinguishing between short-term context and long-term knowledge bases for robust, production-ready AI agents. Learn …

Explore multi-agent AI workflows and automate pull requests with tools like Cursor 2.6 and GitHub Copilot, enhancing developer productivity for …

Build an AI-assisted Python debugging agent with AIPack. Learn to integrate AI into your debugging workflow, leveraging MCP and multi-stage agents to …

Unpack Zed Editor's Agent Client Protocol (ACP). Learn how it standardizes IDE-agent communication, differs from MCP, and shapes future AI agentic …

Learn to build, run, and share robust AI agents for production workflows using AIPack, covering architecture, multi-stage agents, Lua logic, and VS …

Complete tutorial: Integrate VS Code with Ollama to create a local, private, and free AI coding assistant. Step-by-step guide with code examples for …

Latest updates, releases, and news about Google AI Pro and Ultra developer tools - March 2026