Archives
- 30 Jun Gemini CLI Series: From First Prompt to Personalized Powerhouse
- 30 Jun Gemini CLI Series: Architecting Secure, Extensible AI Workflows
- 27 Jun A Cheatsheet to Level Up Your Terraform
- 23 Jun Appendix A - Running the Code Examples
- 23 Jun Chapter 11 - Case Study: The Airline Customer Service Bot
- 23 Jun Chapter 10 - Tracing, Debugging, and Visualization
- 23 Jun Chapter 9 - Guardrails for Safety and Control
- 23 Jun Chapter 8 - Multi-Agent Orchestration Patterns
- 23 Jun Chapter 7 - Handoffs and Agent Delegation
- 23 Jun Chapter 6 - Model Context Protocol (MCP): The Universal Adapter for Tools
- 23 Jun Chapter 5 - Empowering Agents with Tools
- 23 Jun Chapter 4 - Anatomy of an Agent
- 23 Jun Chapter 3 - Beyond OpenAI: Using Any Model Provider
- 23 Jun Chapter 2 - Your First Agent: Quickstart and the Runner
- 23 Jun Chapter 1 - An Introduction to Agentic AI
- 15 Jun A Developer's Guide to AI Agents: OpenAI Agents SDK vs. Google's ADK
- 11 Jun Your AI-Powered Companion for Building with Google's Agent Development Kit
- 07 May How I created my first Chrome Extension via Iterative Prompting using Gemini 2.5 Pro
- 27 Apr Supercharge Your AI Agents by Combining Google ADK with MCP