August 6, 2025
5 min read
Brady Snyder
Google Cloud unveils six AI agents for developers and scientists, plus Gemini CLI's new AI coding teammate with GitHub Actions integration.
Google Cloud Enhances Developer and Data Science Capabilities with Six New AI Agents
Google Cloud is significantly expanding its artificial intelligence (AI) offerings with the introduction of six new AI agents designed to empower developers, data scientists, and power users. These agents, available in preview starting August 5th, aim to streamline complex workflows across data engineering, data science, conversational analytics, and cloud migration. This move signals Google Cloud's commitment to an "agentic enterprise" approach, bridging operational and analytical business needs. The new suite of AI agents includes:- Data Engineering Agent in BigQuery: This agent is optimized for data cleaning, transformation, and preparation, making data ready for AI applications directly within BigQuery.
- Data Science Agent in BigQuery Notebooks: Designed to transform BigQuery Notebooks into intelligent workspaces, this agent enhances the productivity of data science teams.
- Conversational Analytics Agent + Code Interpreter: This chatbot-style tool allows users to ask questions about their data conversationally. It automatically generates and executes Python code to produce visual insights and answers.
- Migration Agent for Spanner: Tailored to assist in modernizing legacy systems, this agent facilitates migration to Google Cloud's global database service, Spanner.
- Conversational Analytics API: A customizable agent builder that enables developers and businesses to create bespoke AI tools for unique workflows.
- Gemini CLI GitHub Actions: Integrated into the Gemini command-line interface (CLI), this AI teammate automates issue triage and pull request reviews for GitHub repositories, significantly improving developer efficiency. These AI agents are designed to automate a wide range of tasks, from complex data ingestion and cleansing workflows in BigQuery to modernizing legacy databases with the Spanner Migration Agent. The Data Science Agent further supports common analytical processes like exploratory data analysis (EDA) and machine learning model development. The inclusion of a Code Interpreter within the Conversational Analytics Agent allows for natural language queries to be translated into executable Python code, generating visualizations securely within Google Data Cloud. The Gemini CLI GitHub Actions integration represents a notable advancement for developers, offering an AI coding teammate that can automate routine tasks, thereby freeing up developers to focus on more critical aspects of software development. All these new features are currently in preview or beta, inviting teams and businesses to explore and integrate them into their operations.
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