Google Cloud is adding six new AI agents for devs, scientists, and power users

Google Cloud Rolls Out Six New AI Agents to Enhance Developer and Data Scientist Workflows

Google Cloud is significantly expanding its artificial intelligence capabilities with the introduction of six new AI agents. These agents are specifically designed to assist developers, data scientists, and data engineers in performing tasks related to data analysis, code execution, and optimizing business workflows. Available in preview starting August 5, 2025, this rollout signifies Google Cloud's commitment to an agentic enterprise approach, aiming to unify operational and analytical business needs. In conjunction with these new agents, Google Cloud is also launching the Gemini Data Agents APIs and the Agent Development Kit (ADK). This ADK will provide a customizable platform, empowering users to build tailored AI tools for their unique workflows. A notable addition is the Gemini CLI's integration with GitHub Actions, offering an AI coding teammate that can automate issue triage and pull request reviews, streamlining the development process. The six new AI agents available in Google Cloud preview include:

• Data Engineering Agent in BigQuery: This agent is optimized for data preparation tasks, including cleaning, transformation, and making data ready for AI applications.
• Data Science Agent in BigQuery Notebooks: Designed to transform notebooks into intelligent workspaces, this agent enhances the productivity of data science teams.
• Conversational Analytics Agent + Code Interpreter: This chatbot-style tool answers questions using specific datasets and automatically generates and executes Python code to create interactive visualizations.
• Migration Agent for Spanner: This agent assists in modernizing legacy systems by facilitating their migration to Google Cloud's global database service, Spanner.
• Conversational Analytics API: This API allows developers and businesses to build their own custom conversational AI agents.
• Gemini CLI GitHub Actions: This AI coding teammate automates issue triage and pull request reviews within GitHub repositories, improving collaboration and efficiency for developers.
These AI agents are built to automate complex workflows across software development, data analytics, and infrastructure management. For instance, the Data Engineering Agent can handle multi-step data workflows, such as ingesting data, cleansing columns, and joining tables, all based on natural language prompts. The Migration Agent for Spanner further supports organizations in transitioning their databases. The Data Science Agent automates tasks like exploratory data analysis, data cleaning, and machine learning predictions within BigQuery and Vertex AI environments. The Conversational Analytics Agent, with its Code Interpreter, translates natural language queries into executable Python code, producing interactive visualizations securely within Google Data Cloud. The Gemini CLI enhancements, including the GitHub Actions integration, aim to improve multi-user collaboration and streamline repository management by automating tasks like issue triage and code review. This AI-powered assistant is offered for free to help developers manage projects and collaborate more effectively.

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Frequently Asked Questions (FAQ)

Q: What are the primary benefits of these new AI agents from Google Cloud? A: These AI agents are designed to automate complex tasks for developers, data scientists, and engineers, assisting with data analysis, code execution, business workflows, legacy system modernization, and collaborative coding processes. Q: Which specific Google Cloud services are enhanced by these new AI agents? A: The agents are integrated with services like BigQuery, BigQuery Notebooks, and Google Cloud's global database service, Spanner. The Gemini CLI is also enhanced with GitHub Actions integration. Q: What is the role of the Gemini CLI GitHub Actions agent? A: This agent acts as an AI coding teammate, automating critical development workflows such as issue triage and pull request reviews within GitHub repositories, thereby reducing manual effort for developers. Q: How do the Conversational Analytics Agent and Code Interpreter work together? A: The agent answers user questions using provided datasets, and its Code Interpreter feature can automatically generate and execute Python code to create interactive visualizations based on these queries. Q: What is the Agent Development Kit (ADK)? A: The ADK is a platform that allows users to build and customize tailored AI tools for their specific and unique workflows.

Crypto Market AI's Take

The advancements announced by Google Cloud in deploying specialized AI agents underscore a significant trend in the industry: the increasing integration of AI into core business operations and developer workflows. This mirrors the advancements we're seeing in the crypto space, where AI is being leveraged for sophisticated market analysis, algorithmic trading, and fraud detection. For instance, our platform utilizes AI-driven insights to help traders navigate the complexities of the cryptocurrency market, offering tools for smarter decision-making. The development of agentic workflows in cloud platforms like Google Cloud suggests a future where AI plays an even more active role in automating and optimizing processes, a concept that resonates deeply with our mission to revolutionize finance through AI.

More to Read:

• How to Use Google Gemini for Smarter Crypto Trading
• AI-Driven Crypto Trading Tools Reshape Market Strategies in 2025
• The Future of AI Agents in Business Automation

Source: Originally published at Android Central on August 6, 2025.