GCP Release Notes: July 31, 2025

BigQuery

Changed

BigQuery ML has improved throughput by more than 100x for the following
generative AI functions:

• ML.GENERATE_TEXT
• AI.GENERATE_TABLE
• AI.GENERATE
• AI.GENERATE_BOOL
• AI.GENERATE_DOUBLE
• AI.GENERATE_INT

Actual performance varies based on the number of input and output tokens in the
request, but a typical 6-hour job can now process millions of rows. For more
information, see
Generative AI functions.

Changed

BigQuery ML now can automatically detect model quota increases in Vertex AI, and automatically adjusts the quota for any BigQuery ML functions that use those models. You no longer need to email the BigQuery ML team to increase model quota.

Feature

You can now use continuous queries to export BigQuery data to Spanner in real time. This feature is in Preview.

Gemini Code Assist

Feature

Use Gemini Code Assist agent mode in IntelliJ (Preview)

Stay in control with interactive reviews and approvals

You can use Gemini Code Assist chat in agent mode to complete complex,
multi-step tasks and goals with complete control over every change. Before
making any modifications, the agent will present a plan for your review. You can
edit, ask for changes, approve, or deny any suggested changes. This
collaborative approach combines the power of AI with your expertise, resulting
in better code and a more efficient workflow.

To get started with agent mode, restart your IDE and follow the instructions in
Use agentic chat as a pair programmer.

Feature

Auto Approve mode lets the agent act on your behalf (Preview)

Enable auto approve mode to let the agent act on your behalf. Once the agent is
done you can review and roll back changes as you see fit.

Feature

Use agent mode in Gemini Code Assist for VS Code (Preview)

Tackle complex tasks with Gemini Code Assist agent mode for VS Code

Gemini Code Assist agent mode is available for all users. Describe your goal,
and Gemini will create a plan for you to review and approve before any code is
changed. This update removes the insiders channel requirement, and includes
persistent agent mode or interactive chat state between IDE restarts, real-time
shell command output, and faster UI performance. This collaborative approach
combines AI power with your expertise, enabling you to complete multi-step tasks
with complete control and efficiency.

To get started with agent mode, see
Use agentic chat as a pair programmer.

Feature

Effectively collaborate with your agent with the improved diff view functionality (Preview)

We’ve enhanced Gemini Code Assist agent mode with powerful new
editing capabilities. You can edit code changes directly in the integrated Diff
view for precise, on-the-fly adjustments. To improve clarity, we’ve also added
inline diffs directly in the chat, making it easier to see proposed changes at a
glance. These features give you unparalleled control and a more efficient way to
refine AI-suggested code.

Source: Google Cloud Platform