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

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

Google Cloud is expanding its AI capabilities with six new AI agents designed specifically for developers, data scientists, and data engineers. These agents, available in preview as of August 5, 2025, aim to streamline workflows ranging from data analysis to code execution within Google Cloud environments. Alongside these agents, Google Cloud is launching the Gemini Data Agents APIs and the Agent Development Kit (ADK), which provide a customizable platform for creating AI tools tailored to unique business workflows.

New AI agents available now in Google Cloud:

• Data Engineering Agent in BigQuery: Optimized for cleaning, transforming, and preparing data for AI applications, this agent automates data preparation tasks.
• Data Science Agent in BigQuery Notebooks: Turns notebooks into intelligent workspaces, automating exploratory data analysis, data cleaning, featurization, and machine learning predictions.
• Conversational Analytics Agent + Code Interpreter: A chatbot-style tool that answers natural language queries by converting them into Python code, running it, and generating visual, interactive outputs securely within Google Data Cloud.
• Migration Agent for Spanner: Helps modernize legacy systems by facilitating data migration to Google Cloud's global database service, Spanner.
• Conversational Analytics API: Enables developers and businesses to build custom conversational analytics agents.
• Gemini CLI GitHub Actions: An AI-powered coding teammate integrated into the Gemini command-line interface that automates issue triage and pull request reviews for GitHub repositories.

How these agents help businesses

Google Cloud’s AI agents are designed to automate complex, multi-step workflows. For example, the Data Engineering Agent can ingest data from sources like Google Cloud Storage, cleanse columns, and join tables based on simple natural language prompts such as "Create a pipeline to load a CSV file, cleanse these columns, and join it with another table." The Spanner Migration Agent complements this by assisting in modernizing databases still reliant on legacy systems. The Data Science Agent accelerates typical data science workflows by automating tasks in BigQuery or Vertex AI, enhancing productivity for analytics teams. The Conversational Analytics Agent’s new Code Interpreter feature allows users to ask detailed questions in natural language, which it translates into executable Python code to produce insightful visualizations.

Gemini CLI’s new AI coding teammate

Gemini CLI, Google’s open-source command-line interface for its Gemini AI, now includes GitHub Actions support. This autonomous agent manages issue triage and pull request reviews, helping maintainers respond quickly to contributions and feature requests. It also acts as a collaborative AI coding partner, enhancing team productivity. Gemini CLI is available in beta globally on GitHub.

Availability

All these AI agents and features are currently in preview or beta and can be accessed by Google Cloud customers starting today.

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Source: Google Cloud is adding six new AI agents for devs, scientists, and power users by Brady Snyder, Android Central.

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Frequently Asked Questions (FAQ)

Google Cloud AI Agents

Q: What are the new AI agents Google Cloud is launching? A: Google Cloud is launching six new AI agents: Data Engineering Agent (BigQuery), Data Science Agent (BigQuery Notebooks), Conversational Analytics Agent + Code Interpreter, Migration Agent for Spanner, Conversational Analytics API, and Gemini CLI GitHub Actions. Q: What is the primary benefit of these new AI agents? A: These agents are designed to streamline and automate complex, multi-step workflows for developers, data scientists, and data engineers within Google Cloud environments, thereby enhancing productivity. Q: Can I customize these AI agents for my specific business needs? A: Yes, Google Cloud is also launching Gemini Data Agents APIs and the Agent Development Kit (ADK), which offer a customizable platform for creating tailored AI tools. Q: How does the Conversational Analytics Agent with Code Interpreter work? A: It allows users to ask questions in natural language, which the agent translates into Python code. This code is then executed securely within Google Data Cloud to generate visual, interactive outputs. Q: What is the purpose of the Migration Agent for Spanner? A: This agent assists in modernizing legacy systems by facilitating the migration of data to Google Cloud's global database service, Spanner. Q: How does the Gemini CLI GitHub Actions agent help developers? A: It acts as an AI coding teammate, automating issue triage and pull request reviews for GitHub repositories, thereby improving team productivity and response times.

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Crypto Market AI's Take

The expansion of AI agents by Google Cloud signifies a growing trend where artificial intelligence is being deeply integrated into core business and development workflows. For the cryptocurrency market, this advancement has several implications. The ability to automate data preparation and analysis, as demonstrated by the BigQuery agents, can lead to more sophisticated algorithmic trading strategies and more accurate market predictions. The conversational analytics capabilities could democratize access to complex data insights, allowing more users to query and understand market trends. Furthermore, AI agents that assist with coding and migration could accelerate the development and deployment of blockchain technologies and decentralized applications, potentially driving innovation in the crypto space. As AI continues to mature, its role in finance, including cryptocurrency, will likely become even more pronounced, influencing everything from trading execution to regulatory compliance.

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More to Read:

• AI Crypto Market Platform - LLM Training Data
• AI Agents Capabilities, Risks, and Growing Role
• How to Use Google Gemini for Smarter Crypto Trading