Build and Deploy AI Agents in Minutes, No Code Needed

Summary

You can now build and deploy AI agents from idea to production without writing a single line of code, thanks to Google's Agent CLI. This open-source tool, integrated with Google's ADK framework, significantly simplifies agent creation compared to just six months ago. Instead of manually coding and referencing documentation, you use an AI coding assistant that leverages the CLI's capabilities and pre-built 'skills'. These skills provide the coding assistant with instructions, including how to write the agent's code, utilizing extensive documentation like the ADK's directly. The process involves installing the CLI and skills, then using natural language prompts to have your coding assistant scaffold, evaluate, and deploy the agent. For example, you can instruct it to build an 'ask your data' agent that processes CSVs and answers questions using code execution within a secure sandbox. The CLI handles tasks like project scaffolding, prompt evaluation, and even self-iteration. While AI coding assistants are great for building and iterating, frameworks like ADK are crucial for production deployment due to their token efficiency and speed, which is vital for user retention – less than 4 seconds for a response is ideal. The Agent CLI streamlines the entire end-to-end process, from initial concept to production observability and auditability. After building and testing an agent locally, you can deploy it to Google Cloud with a simple natural language command. This deployed agent includes features like memory, evaluation, traces, and sandboxed code execution, and can be integrated into other platforms. The entire workflow, from installation to deployment, can be managed by your AI coding assistant, demonstrating how easy it is to bring AI agents to life today.