Agents CLI in Agent Platform: create to production in one CLI

2026-04-22 · Source: Google Developers Blog - AI · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Cloud Computing & IT Infrastructure · Depth: Intermediate, quick

Summary

Google Cloud has released Agents CLI in Agent Platform, a unified programmatic tool designed to streamline the Agent Development Lifecycle (ADLC) for AI coding agents like Gemini CLI, Claude Code, and Cursor. Announced on April 22, 2026, this specialized CLI provides a direct, machine-readable interface to the Google Cloud agent stack, including Agent Platform, Cloud Run, and A2A Integration. It aims to reduce the fragmentation in AI agent infrastructure, enabling developers and their coding assistants to build, evaluate, and deploy production-grade AI agents more efficiently. The Agents CLI facilitates scaffolding projects, running rigorous evaluations against ground-truth datasets, and automating the entire deployment process to Agent Runtime, Cloud Run, or GKE, including Infrastructure as Code (IaC) and CI/CD pipeline setup. It supports both an "Agent Mode" for AI assistant consumption and a "Human Mode" for direct developer control.

Key takeaway

For AI Architects and VP of Engineering overseeing AI agent development, Agents CLI offers a critical solution to infrastructure fragmentation. By adopting this unified tool, your teams can significantly reduce development time from weeks to hours, ensuring faster iteration and deployment of production-grade AI agents. Integrate Agents CLI into your CI/CD pipelines to automate scaffolding, evaluation, and deployment, thereby enhancing developer productivity and agent reliability.

Key insights

Agents CLI unifies Google Cloud's agent development lifecycle, enabling AI assistants to build, evaluate, and deploy production agents efficiently.

Principles

• Reduce context overload for AI agents.
• Automate infrastructure provisioning.
• Enable rigorous agent evaluation.

Method

Install Agents CLI, inject bundled skills into the coding environment, use commands for project scaffolding, run evaluations, and deploy to Google Cloud services like Agent Runtime or Cloud Run.

In practice

• Scaffold a finance agent with `agents-cli create`.
• Run evaluations with `agents-cli eval run`.
• Deploy to Google Cloud with `agents-cli deploy`.

Topics

• Agents CLI
• Agent Platform
• AI Agent Development
• Google Cloud Deployment
• Infrastructure as Code

Code references

• google/agents-cli

Best for: AI Architect, CTO, VP of Engineering/Data, AI Engineer, MLOps Engineer, Machine Learning Engineer

Related on AIssential

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• Whitepaper Companion Podcast - Prototype to Production — Productionizing AI agents requires specialized AgentOps, focusing on infrastructure, security, and continuous validation beyond core AI development.
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• The Rise of Cloud Coding Agents — Cloud-based AI coding agents enable asynchronous, autonomous development workflows, enhancing scalability over traditional desktop agents.

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Editorial summary, takeaway, and curation by AIssential. Original article published by Google Developers Blog - AI.