Agents Development in the Gemini CLI using Gemini API keys

*​Technical Deep Dive: Building with the ADK 🛠️ ​Unlike a standard chatbot, I built an Autonomous Agent using the Gemini ADK. The CLI allowed me to rapidly iterate on the agent's "brain" without leaving my terminal. ​The Architecture ​The core of the project relies on Function Calling. I defined a set of tools that the Gemini model can decide to invoke based on the user's intent. ​Key Snippet: Defining Agent Tools ​Here is how I structured a tool within the ADK framework to allow my agent to interact with [External API/Local System]: The Development Workflow: Gemini CLI Using the Gemini CLI was a game-changer for my productivity. Instead of jumping between browser tabs, I was able to: Initialize the project directly with gemini init. Test Prompts instantly to see how the agent handled complex multi-turn conversations. Debug Tool Outputs by watching the raw JSON exchanges between the ADK and the model. Pro Tip: If you're building with the ADK, focus on your System Instructions. I spent