Looker Continuous Integration can now run from GitLab CI, Bitbucket Pipelines and GitHub Actions workflows through the Looker API and the looker-sdk Python SDK, with sample scripts in the docs.

UpdateData integrationBIDeveloper toolsSource

LookerAug 28, 2026

Looker visual modeling canvas for BigQuery enters preview

A drag-and-drop canvas builds and edits LookML models on BigQuery sources: join tables, define dimensions and measures, preview results and publish Explores without writing LookML.

PreviewSQLSource

LookerAug 28, 2026

Conversational Analytics verified queries , also known as golden queries , are now generally available

Conversational Analytics verified queries , also known as golden queries , are now generally available. You can also now define verified queries in Looker (Google Cloud core) instances.

GABISource

LookerAug 28, 2026

Now available in preview, model localization is supported for imported projects

Now available in preview, model localization is supported for imported projects. By default, Looker uses the locale definitions from the importing project only, if the importing project has locale definitions.

PreviewBISource

LookerAug 28, 2026

You can now configure Continuous Integration to automatically run CI suites when a dbt Cloud CI job finishes

You can now configure Continuous Integration to automatically run CI suites when a dbt Cloud CI job finishes . The CI suite run verifies whether changes in your dbt models will cause SQL errors in your Looker Explores before the dbt changes are deployed.

UpdateSQLBISource

LookerAug 28, 2026

Now available in preview, you can define and chat with data agents on a LookML dashboard

Now available in preview, you can define and chat with data agents on a LookML dashboard . To use this feature, the Conversational Analytics and Enable Dashboard Agents settings must be enabled on the Gemini in Looker Admin page.

PreviewAI agentsLLMsBISource

Also shipped on Aug 28, 2026

Databricks Agent Bricks and Mosaic AIAug 28, 2026

Monitor and cap external provider costs

Unity Gateway can now track and cap spend on external model providers, such as Amazon Bedrock and Azure AI Foundry, not just Databricks-provided models. If your organization already has capacity commitments directly with a provider, Unity Gateway becomes the single point to track that usage and enforce spend limits across teams and use cases.

BetaPricingObservabilitySource

Databricks Unity CatalogAug 28, 2026

Unity Catalog Skills (Beta)

You can now publish, govern, and share agent skills with Unity Catalog. A skill is a first-class Unity Catalog securable ( catalog.schema.skill ) that follows the SKILL.md specification , so you register it once and control who can discover, use, and update it with the same permissions, tags, and audit that protect your tables.

BetaAI agentsMCPGovernanceSource

Vercel AI SDK and AI GatewayAug 28, 2026

Hy4 Preview now available on AI Gateway

Hy4 Preview from Tencent is now available on AI Gateway. Hy4 Preview is an open-source Mixture-of-Experts model with 770B total parameters and 49B active per token, aimed at long-horizon coding, document analysis, game development, and scientific reasoning. It serves a context window of 1M tokens.

PreviewAI agentsLLMsPricingSource

GitHub GitHub CopilotAug 28, 2026

GitHub Copilot weekly releases , August 24

This week’s updates give you more control over how Copilot runs, from team sessions in Slack and Teams to customization across the app, CLI, and your IDE. GitHub Copilot in Slack and Microsoft Teams Turn team conversations into shared agent sessions.

GAAI agentsMCPSecuritySource

GitHub GitHub CopilotAug 28, 2026

Upcoming changes to GitHub Copilot policies and billing

To provide a strong, consistent Copilot experience, we’re making three separate, upcoming changes to Copilot policies and billing. Please review the upcoming updates to understand what may impact you.

PricingGovernancePricingDeveloper toolsSource

Snowflake Snowflake Cortex AIAug 28, 2026

Snowflake recommends transitioning from Cortex Analyst to Cortex Agents

Snowflake recommends transitioning to Cortex Agents , which supports every Cortex Analyst capability with higher answer quality. Snowflake adds new natural language analytics capabilities to Cortex Agents.

UpdateAI agentsSource